ADVANCED LAND OBSERVATION SATELLITE - ALOS

Size: px
Start display at page:

Download "ADVANCED LAND OBSERVATION SATELLITE - ALOS"

Transcription

1 DVNCED LND OSERVTION STELLITE - LOS The dvanced Land Observing Satellite (LOS) developed by the Japan erospace Exploration gency (JX) was successfully launched on January 24, The satellite has three sensors i.e., two optical imagers(prism and VNIR-2) and an L-band Synthetic perture (PLSR). The mission objectives of LOS include cartography, regional observation, and disaster monitoring. It has been designed to have a short revisit capability such that in cases of natural disasters, LOS will be able to capture images of the disaster area with VNIR-2 or PLSR within a few days. GEOIMGE has been appointed as a Commercial Distributor of LOS imagery and authorised to sell Standard and Value-dded Products to clients in Oceania (ustralia, New Zealand, PNG and Pacific Islands), and Value-dded Products to clients throughout the world. PRISM Characteristics Number of ands 1 (Panchromatic) Wavelength micrometers Number of Optics 3 (Nadir; Forward; ackward) ase-to-height ratio 1.0 (between Forward and ackward looking) Spatial Resolution 2.5m Swath Width 70km (Nadir only) /35km (Triplet mode) S/N >70 MTF >0.2 Number of Detectors / band (Swath Width 70km) / band (Swath Width 35km) Pointing ngle -1.5 to +1.5 deg. (Triplet Mode, Cross Track) it Length 8 bits PRISM data is collected in one of 9 possible Observation Modes - of which Mode 1 - Triplet observation mode with 35km wide simultaneous forward, nadir and backward views is expected to be the main one. This means that 2 cycles of capture of 46 day each are required to get complete PRISM coverage of any area. Mode 3 which produced 70km wide nadir PRISM imagery (corresponding to an VNIR-2 nadir scene) is not expected to be a significant mode of operation. Emergency response image of the Newcastle floods in June VNIR-2 image collected on 10 June JX points to the stranded coal carrier the Pasha ulker and shows the interface between the brown flood waters and the normal ocean waters. 12 PRISM/ VNIR-2 PLSR Data vailability and pplications The stereo PRISM data allows excellent quality high resolution DEMs to be developed over large areas at relatively low cost (See page 16). Merging or pan-sharpening the nadir PRISM data with VNIR-2 imagery creates 2.5m high resolution multispectral datasets including natural colour imagery. The Standard Data Products are in CEOS format and include- LEVEL 1a Uncompressed, reconstructed digital counts, with radiometric calibration coefficients and geometrical correction coefficients which are appended but not applied. 11 Radiometrically calibrated data 12 Geometrically calibrated data LEVEL 1.0 Uncompressed, reconstructed signal data, with radiometric calibration coefficients and geometrical correction coefficients which are appended but not applied. 1.1 Range and azimuth compressed Complex data on slant range 1.5 Multi-look processed images projected to map coordinates GEOIMGE recommends the Level 12R where orthorectification of the data is required and level 12G (purchased as a TIF file) if only systematic rectification is required. The LOS mission features a systematic observation strategy which comprises prelaunch, systematic global observation plans for all three instruments. The strategy is implemented as a top-level foreground mission and with a priority level second only to that of emergency observations. Copies of these observation plans for PRISM and VNIR-2 are available at CRES is the Oceania Data Node for LOS and as well as having a reception and archiving role, will be distributing LOS data to non-commercial customers. Customers wishing to purchase LOS data from CRES will first need to register their proposed use with CRES so that they can validate and approve the use as non-commercial. PRISM The Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) is a panchromatic radiometer with 2.5-metre spatial resolution. The instrument has three independent optical systems for nadir, forward and backward looking to achieve along-track stereoscopy. Forward and backward telescopes are inclined + and - 24 degrees from nadir to realize a base-to-height ratio of 1.0. It is expected that the PRISM instrument will be capable of producing DEMs with errors of about 5m and with a 10m grid spacing. Greyscale LOS PRISM at 1:15k scale Sydney area. JX(2007) Distributed by RESTEC Orthorectified 70km by 70km 10m resolution VNIR-2 image & superimposed 35 by 35km 2.5m resolution orthorectified nadir PRISM image over Sydney collected on 21st January JX(2007) DISTRIUTED Y RESTEC VNIR-2 The dvanced Visible and Near Infrared Radiometer type 2 (VNIR-2) is a visible and near infrared radiometer for observing land and coastal zones and provides better spatial land coverage maps and land-use classification maps for monitoring regional environment. The VNIR-2 is a successor to the VNIR onboard the dvanced Earth Observing Satellite (DEOS) launched in ugust Its main improvement over VNIR-1 is its instantaneous field-of-view (IFOV). The VNIR-2 provides 10m spatial resolution images compared with the 16m resolution of VNIR-1. The higher resolution was realized by improving the CCD detectors (VNIR: 5,000 pixels per CCD, VNIR-2: 7,000 pixels per CCD) and their electronics. nother improvement is a cross track pointing function for prompt observation of disaster areas. The off-nadir pointing angle of VNIR-2 is + and - 44deg. VNIR-2 Characteristics Number of ands 4 Wavelength and 1 : micrometers and 2 : micrometers and 3 : micrometers and 4 : micrometers Spatial Resolution 10m (at Nadir) Swath Width 70km (at Nadir) S/N >200 MTF and 1~3 : >0.25 and 4 : >0.20 Number of Detectors 7000 / band Pointing ngle -44 to +44 deg. it Length 8 bits For more technical details on the LOS imagery, including PLSR, please see page 36 of the GEOIMGE 2005 rochure.

2 RDIOMETRIC ND GEOMETRICL QULITY The VNIR-2 data that we have seen to date is generally of very high quality although there has been one instance where striping was present both along path and cross path and a substitute scene had to be ordered. Some striping noise is evident in the PRISM imagery and its removal has been identified as a future goal for JX/RESTEC (See insert this page). Details of the geometric and radiometric accuracies of standard products as assessed by JX are detailed at satellite/data_tekyo_setsumei/alos_hyouka_e.html. DVNTGES / DISDVNTGES OF LOS DT Data from the LOS sensors has certain advantages over comparable satellite imagery including- 1. The low cost of the data compared to other similar resolution data, 2. The presence of a Visible lue band on the VNIR-2 allowing the preparation of natural colour imagery, 3. The triplet mode PRISM data has the capability to produce DEMs with a 10m cell size and high Z accuracies, 4. The PRISM nadir imagery is captured as near as possible to vertical i.e. with minimal height offset and 5. Quicklooks of new imagery are in the catalogue by the following day and there is rapid turnaround on orders. Disadvantages of the sensors are- 1. The PRISM images are quite noisy and there is some residual detector striping, 2. The nadir PRISM and nadir VNIR-2 data are rarely captured simultaneously over the 70km swath width of the VNIR-2 sensor although there is some 35km wide nadir PRISM imagery collected on the same overpass as vertical VNIR-2 and 3. LOS imagery is not captured on demand although this service may be introduced after the initial 3 year capture program which finishes in HOW CN GEOIMGE HELP? > archive searches for data covering your area of interest > acquire the data and orthorectify to your datum/projection > DEM generation from triplet PRISM imagery > pan-sharpening of the VNIR-2 using PRISM data > supply of digital data on DVD or for FTP download > supply of normal or pseudo-stereo hardcopy prints. PROLEMS IN THE DT Like other very high resolution data, PRISM imagery has looming and Smear artifacts caused by highly reflective objects on the ground surface (Image ). The looming artifacts have a tail which is horizontal and this compares with a path orientated tail on similar artifacts in IKONOS and Quickird imagery. The PRISM imagery also suffers from artifacts that can best be described as boxed noise (Image ) and are due to non-optimal onboard jpeg compression. These artifacts are generally most visible in areas of low texture. These problems are described at setsumei/alos_tyui/index_e.html C Pan-Sharpening Pan-sharpening is the process of transforming a low spatial resolution multispectral image by fusing it with a coregistered panchromatic image. LOS imagery lends itself to this technique where the 10m resolution VNIR-2 imagery () is combined with the 2.5m resolution nadir PRISM image() to give a 2.5m colour image (C). ecause of the normal acquision of triplet mode PRISM where the path of the imagery is only 35km wide and the 70km wide path of the VNIR-2, two overpasses of PRISM data are required to achieve complete spatial coverage. Merging of the nadir PRISM imagery with VNIR-2 data which has been captured at off-nadir angles should not be a problem as long as a high resolution DEM is available. 1:20k scale. JX(2007) DISTRIUTED Y RESTEC Pan-sharpened natural colour LOS VNIR-2 at 1:15k scale Sydney area. JX(2007) Distributed by RESTEC 13

3 CSE STUDY OF THE USE OF LOS IMGERY IN MINERL EXPLORTION, PKISTN Introduction Lake Resources N.L. has been exploring for epithermal gold and porphyry copper-gold deposits in Pakistan since its inception in One of the main prospects is the Koh-i- Sultan prospect in the Chagai region in northwest alochistan. The Koh-i-Sultan tenement covers the partially dissected remnants of a major Quaternary age compound andesitic stratovolcano. Extensive zones of advanced argillic alteration with sulphur, barite and silica deposits and stockwork-veined altered intrusives, are present. The area is prospective for high sulphidation epithermal gold and porphyry copper-gold deposits. nomalous levels of gold and base metals are present in stream sediments associated with major alteration zones in the vicinity of the Nawah Caldera at the south-eastern end of the Koh-i-Sultan Complex. Rock chip sampling of altered areas returned significant gold values. The Problem GEOIMGE had previously supplied Landsat 7 ETM+ imagery and STER spectral imagery and DEMs to Lake Resources as a base for regional exploration over the Koh-i-Sultan prospect. To aid the next phase of exploration of the Nawah Caldera, more detailed accurate base maps, including topographic contours, were required to plan drill access into the area and to map the obvious zones of surface alteration and brecciation. The highest priority area required to be covered was 11 by 11km surrounded by a 20 by 20km lower priority area. The Solution Initial thinking was that an IKONOS new stereo acquisition would be the ideal solution and this would provide 1m resolution pan-sharpened colour imagery and a high resolution DEM. It was found however that the area was located within a GeoEye regional ground station and the cost of the IKONOS imagery was greater than double the normal worldwide standard price. search of the LOS archive showed that a triplet of cloud free LOS PRISM imagery, acquired on 17th ugust 2006, was available over the area and that cloud free vertical VNIR-2 imagery had been collected on 2 October This would allow the preparation of 2.5m pan-sharpened imagery and a high resolution DEM. Note that although the VNIR- 2 and PRISM imagery were not collected on the same date, the area is not subject to any short term change (except perhaps snow and cloud) and because the imagery was collected with similar ephemeris, image merging would not be a problem. The Methodology The standard triplet of back, nadir and forward PRISM imagery and a non-standard VNIR-2 image (moved to the south to cover the PRISM data), were purchased at 12R processing level. The data was read into PCI OrthoEngine using the newly developed LOS module. ccurate ground control was only available for the immediate area of the Nawah Caldera and so it was decided to systematically rectify the imagery using the Geocover 2000 Landsat Pan image for E and N control and the SRTM data for Z control and then to fine tune the final orthorectified imagery using the client supplied ground control. The VNIR-2 data was orthorectified first and then the nadir PRISM scene was orthorectified using ground control automatically generated in the Geomatica UTOGCP module. The orthorectified VNIR-2 and nadir PRISM data were then pan-sharpened using the Geomatica PNSHRP module. Final orthorectified VNIR-2 natural colour image and superimposed greyscale nadir PRISM image. JX 2006 DEM Generation Ground control for the back and forward PRISM images was taken from the orthorectified nadir PRISM imagery and the same points were also identified on the raw nadir image. Independent of the source of the stereo pairs, PCI OrthoEngine s methodology for creating the DEM is similar and is described in detail by Toutin - de/html/publikationen/2005/workshop/032-toutin.pdf. The method involves selection of several accurate GCPs in the stereo pairs, computation of a 3-D stereo model based on the sensor parameters and refined using the GCPs, processing of epipolar images in which the height parallax is maximised in the X direction, autocorrelation between the epipolar pairs on a pixel by pixel basis and computation of XYZ cartographic coordinates from the elevation parallaxes in a regular grid spacing. DEM generation was carried out using epipolar images that were produced at 5m resolution to minimise the effect of noise in the PRISM data. With three obvious stereo images, there are three possibilities for epipolar pairs and a combination of pairs was found to produce a 10m DEM with almost perfect correlation and a low level of noise spikes. This grid was run through the Geomatica DWCON program which prepares the data for hydrological analysis and in particular fills small isolated depressions and produces a flow accumulation image which was used to automatically generate vector drainage lines. The infilled grid was used to generate 10m vector contours. The extracted DEM is a surface model that normally includes the height of manmade features such as vegetation and buildings. This is not a problem in this area but will be a problem in areas of cultural disturbance and vegetation of variable heights. The accuracy of the final grid is impossible to accertain because of the lack of ground control. ased on the local detail of the grid, the automatically generated drainage lines and theoretical considerations related to the size of the pixel, the local noise is believed to be of the order of 3-4metres. cknowledgements GEOIMGE would like to thank Jim Clavarino of Lake Resources N.L. for permission to write up this case study. ll the LOS images are Copyright JX(2006) and distributed by RESTEC. Pseudocoloured LOS DEM for the PRISM pair at a 10m cell size. The elevations range from 770m to 2320m. ox shows location of enlargements below. 14 Pan-sharpened natural enhanced colour natural LOS colour VNIR-2 Quickird at 1:25k imagery scale at Pakistan. 1:5k scale JX(2007) Port Hedland Distributed Mangroves by 06 RESTEC May DigitalGlobe 2002 Comparison of the 10m LOS generated DEM (left) and the SRTM DEM (right) over the Nawah Caldera.

4 Left image: Natural colour pan-sharpened LOS imagery at 1:25k scale with drainage lines automatically generated from the 10m DEM. Right image: Pseudocoloured LOS 10m DEM with 20m black contours and red drainage lines automatically generated from the DEM Stereo Hardcopy One of the products that has been generated from the LOS pansharpened imagery and the LOS DEM is a set of pseudo-stereo hardcopy prints at 1:25k scale. In these images, the elevation value for each point is used to offset the image data at that point in an east-west direction to simulate height distortion. The amount of distortion is usually the same but in opposite directions to produce a left and right stereo pair. For interpretation work however, it is usual to prepare a left image(with twice the amount of height distortion) and a vertical image so that interpretation is made on the undistorted vertical image. Examples of the left stereo and vertical images (superimposed) which were printed at 1:25k scale. n example of photogeological interpretation using a 1:25,000 scale LOS stereo pair is shown by the images on the right. Part of the rim of a large collapse caldera structure, partly infilled by young sediments, can be seen on the eastern side of the image. smaller caldera, about 1km in diameter can be seen to the west. Extensive hydrothermal (advanced argillic) alteration can be seen as pale areas on the image (red cross-hatching on the map), while unaltered volcanics are dark (purple colours on the map). Note the presence of reddish young ferruginous sediments on the LOS image; these form low terraces (shown as yellow on the map). The LOS stereo pair also enabled the recognition of an important, previously unmapped NNW-SSE oriented fault zone. Dr Colin Nash of Colin Nash and ssociates - Pan-sharpened natural colour LOS VNIR-2 at 1:25k scale Pakistan with 10m DEM contours from PRISM. JX(2007) Distributed by RESTEC 15

5 DEM FROM LOS PRISM DT One of the aims of the LOS PRISM program was to produce DEMs (Digital Elevation Models) with less than 5 metre errors and with 10 metre grid spacing in support of the creation and updating of maps at a scale of 1:25,000. Software vendors in the photogrammetric sector have been slow to develop modules to process LOS optical data because many rely on the availability of rational functions to define the camera model. The rational functions have only been released for PRISM Level 11 data where the data is still in separate CCD format. This is not the case for PCI Geomatics OrthoEngine which uses Toutin s satellite model and which can process PRISM level 11 and 12R data. This software processes the PRISM triplet as separate epipolar pairs and has been used to produce the DEMs discussed here. GEOIMGE s DEM generation procedure can be summarised as follows. > orthorectify the nadir PRISM image using the best available ground control and available DEM. The use of the SRTM DEM here is not a problem because of the near vertical aspect of the nadir image. > Select control points on the back/nadir/forward raw images based on the orthorectified nadir image. Only points that can be identified on all three images are used and obviously the more accurate the location of the points the better the model. > Epipolar images for each image pair are generated at 5m pixel spacing. > Epipolar DEMS are generated at either a 5m or 10m spacing. > If there is low level systematic noise in the DEMs resulting from poor control of the model this is best corrected at this stage before the geocoding of the DEMs. > The epipolar DEMs are geocoded and the final dem reading at any point on the grid may be either based on an average of the individual DEMs or based on the correlations score during the epipolar DEM generation. > The final DEM is edited for artifacts in water, cloud and shadow areas or for spikes. GEOIMGE recently conducted a test DEM generation from a PRISM triplet over Sydney to assess the accuracy of the DEM. The image used was collected on 21 January 2007 and was cloud free. The NSW Government s PNRIIE SPOT 5 imagery was used for X and Y control and the NSW LNDS 25m DTM was used for Z control. The LOS DEM was generated at 5m cell size from an average of the back/nadir and nadir/ Plot of NSW LNDS DTM vs LOS DEM forward DEMs. The LOS DEM is a Digital Surface Model and includes the tops of buildings and vegetation as shown in the images at the bottom of this page. The comparison of approximately 1000 points between the NSW LNDS DTM and the LOS DEM showed a mean difference of 3.7m and an RMS error of 5m. This error is in the same range as determined by K. Wolff,. Gruen, ETH Zurich: DSM Generation from Early LOS/PRISM Data using ST-PP and Junichi Takaku,et al.,high Resolution DSM Generation from LOS PRISM. Many of GEOIMGE s client are working in relatively isolated areas where good control is difficult to obtain and where the SRTM is the best DEM available. In such areas, where we have used the SRTM for the Z control, it has been necessary to do a considerable amount of massaging to take out high frequency noise but believe the final DSM result is accurate to about 5m relative. 3m coloured contours derived from an LOS PRISM pair on a natural colour IKONOS ( GeoEye 2005) image. The SRTM DEM was used for the Z control in this example. pproximate scale 1:20k. Three image views of an area along Spit Rd, Spit Junction, Sydney showing the detail in the dem at a scale of approximately 1: Image : naglyph presentation of the back and forward PRISM images that have been orthorectified using the NSW LNDS DTM. Red and green fringes indicate features that differ in height from the ground. Image : Pseudocoloured LOS 5m DEM. There is an elevation difference within the area of 2m to 95m and the large white high area in the centre is 23m above ground level. The DEM generation was unable to separate the heights of the three white buildings that can be seen in Image C. Image C: Pan-sharpened natural colour LOS image. C 16 Pan-sharpened natural colour LOS VNIR-2 at 1:25k scale Sydney area with 3m DEM contours from PRISM. JX(2007) Distributed by RESTEC

Geomatica OrthoEngine v10.2 Tutorial Orthorectifying ALOS PRISM Data Rigorous and RPC Modeling

Geomatica OrthoEngine v10.2 Tutorial Orthorectifying ALOS PRISM Data Rigorous and RPC Modeling Geomatica OrthoEngine v10.2 Tutorial Orthorectifying ALOS PRISM Data Rigorous and RPC Modeling ALOS stands for Advanced Land Observing Satellite and was developed by the Japan Aerospace Exploration Agency

More information

Geomatica OrthoEngine V10.3 Tutorial. Orthorectifying AVNIR-2 Data Rigorous and RPC Modeling

Geomatica OrthoEngine V10.3 Tutorial. Orthorectifying AVNIR-2 Data Rigorous and RPC Modeling Geomatica OrthoEngine V10.3 Tutorial Orthorectifying AVNIR-2 Data Rigorous and RPC Modeling AVNIR-2 stands for Advanced Visible and Near Infrared Radiometer Type 2. It is a successor of AVNIR-1 and is

More information

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data GeoEye 1, launched on September 06, 2008 is the highest resolution commercial earth imaging satellite available till date. GeoEye-1

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Popular Remote Sensing Sensors & their Selection Michiel Damen (September 2011) damen@itc.nl 1 Overview Low resolution

More information

Geomatica OrthoEngine Orthorectifying SPOT6 data

Geomatica OrthoEngine Orthorectifying SPOT6 data Geomatica OrthoEngine Orthorectifying SPOT6 data On September 9, 2012, SPOT 6 was launched adding to the constellation of Earthimaging satellites designed to provide 1.5m high-resolution data. The architecture

More information

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS

NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL

More information

Section 2 Image quality, radiometric analysis, preprocessing

Section 2 Image quality, radiometric analysis, preprocessing Section 2 Image quality, radiometric analysis, preprocessing Emmanuel Baltsavias Radiometric Quality (refers mostly to Ikonos) Preprocessing by Space Imaging (similar by other firms too): Modulation Transfer

More information

FEDERAL SPACE AGENCY SOVZOND JSC компания «Совзонд»

FEDERAL SPACE AGENCY SOVZOND JSC компания «Совзонд» FEDERAL SPACE AGENCY Resurs-DK.satellite SOVZOND JSC SPECIFICATIONS Launch date June 15, 2006 Carrier vehicle Soyuz Orbit Elliptical Altitude 360-604 km Revisit frequency (at nadir) 6 days Inclination

More information

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT

Image Fusion. Pan Sharpening. Pan Sharpening. Pan Sharpening: ENVI. Multi-spectral and PAN. Magsud Mehdiyev Geoinfomatics Center, AIT 1 Image Fusion Sensor Merging Magsud Mehdiyev Geoinfomatics Center, AIT Image Fusion is a combination of two or more different images to form a new image by using certain algorithms. ( Pohl et al 1998)

More information

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014 Satellite Imagery Characteristics, Uses and Delivery to GIS Systems Wayne Middleton April 2014 About Geoimage Founded in Brisbane 1988 Leading Independent company Specialists in satellite imagery and geospatial

More information

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems

More information

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor

More information

Advanced Optical Satellite (ALOS-3) Overviews

Advanced Optical Satellite (ALOS-3) Overviews K&C Science Team meeting #24 Tokyo, Japan, January 29-31, 2018 Advanced Optical Satellite (ALOS-3) Overviews January 30, 2018 Takeo Tadono 1, Hidenori Watarai 1, Ayano Oka 1, Yousei Mizukami 1, Junichi

More information

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Abstract Quickbird Vs Aerial photos in identifying man-made objects Abstract Quickbird Vs Aerial s in identifying man-made objects Abdullah Mah abdullah.mah@aramco.com Remote Sensing Group, emap Division Integrated Solutions Services Department (ISSD) Saudi Aramco, Dhahran

More information

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES

COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES COMPARISON OF INFORMATION CONTENTS OF HIGH RESOLUTION SPACE IMAGES H. Topan*, G. Büyüksalih*, K. Jacobsen ** * Karaelmas University Zonguldak, Turkey ** University of Hannover, Germany htopan@karaelmas.edu.tr,

More information

KEY TECHNOLOGY DEVELOPMENT FOR THE ADVENACED LAND OBSERVING SATELLITE

KEY TECHNOLOGY DEVELOPMENT FOR THE ADVENACED LAND OBSERVING SATELLITE KEY TECHNOLOGY DEVELOPMENT FOR THE ADVENACED LAND OBSERVING SATELLITE Takashi HAMAZAKI, and Yuji OSAWA National Space Development Agency of Japan (NASDA) hamazaki.takashi@nasda.go.jp yuji.osawa@nasda.go.jp

More information

Planet Labs Inc 2017 Page 2

Planet Labs Inc 2017 Page 2 SKYSAT IMAGERY PRODUCT SPECIFICATION: ORTHO SCENE LAST UPDATED JUNE 2017 SALES@PLANET.COM PLANET.COM Disclaimer This document is designed as a general guideline for customers interested in acquiring Planet

More information

DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, Ray Perkins, Teledyne Brown Engineering

DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, Ray Perkins, Teledyne Brown Engineering DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, 2016 Ray Perkins, Teledyne Brown Engineering 1 Presentation Agenda Imaging Spectroscopy Applications of DESIS

More information

CanImage. (Landsat 7 Orthoimages at the 1: Scale) Standards and Specifications Edition 1.0

CanImage. (Landsat 7 Orthoimages at the 1: Scale) Standards and Specifications Edition 1.0 CanImage (Landsat 7 Orthoimages at the 1:50 000 Scale) Standards and Specifications Edition 1.0 Centre for Topographic Information Customer Support Group 2144 King Street West, Suite 010 Sherbrooke, QC

More information

DEM GENERATION WITH WORLDVIEW-2 IMAGES

DEM GENERATION WITH WORLDVIEW-2 IMAGES DEM GENERATION WITH WORLDVIEW-2 IMAGES G. Büyüksalih a, I. Baz a, M. Alkan b, K. Jacobsen c a BIMTAS, Istanbul, Turkey - (gbuyuksalih, ibaz-imp)@yahoo.com b Zonguldak Karaelmas University, Zonguldak, Turkey

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

GEOMETRIC RECTIFICATION OF EUROPEAN HISTORICAL ARCHIVES OF LANDSAT 1-3 MSS IMAGERY

GEOMETRIC RECTIFICATION OF EUROPEAN HISTORICAL ARCHIVES OF LANDSAT 1-3 MSS IMAGERY GEOMETRIC RECTIFICATION OF EUROPEAN HISTORICAL ARCHIVES OF LANDSAT -3 MSS IMAGERY Torbjörn Westin Satellus AB P.O.Box 427, SE-74 Solna, Sweden tw@ssc.se KEYWORDS: Landsat, MSS, rectification, orbital model

More information

EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000

EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000 EXAMPLES OF TOPOGRAPHIC MAPS PRODUCED FROM SPACE AND ACHIEVED ACCURACY CARAVAN Workshop on Mapping from Space, Phnom Penh, June 2000 Jacobsen, Karsten University of Hannover Email: karsten@ipi.uni-hannover.de

More information

Topographic mapping from space K. Jacobsen*, G. Büyüksalih**

Topographic mapping from space K. Jacobsen*, G. Büyüksalih** Topographic mapping from space K. Jacobsen*, G. Büyüksalih** * Institute of Photogrammetry and Geoinformation, Leibniz University Hannover ** BIMTAS, Altunizade-Istanbul, Turkey KEYWORDS: WorldView-1,

More information

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/12/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 Remote Sensing Platforms Michiel Damen (September 2011) damen@itc.nl 1 Overview Platforms & missions aerial surveys

More information

Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015

Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015 Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015 Michaela Neumann, George Ellis, Samuel Bärisch, Blanka Vajsova 19 November 2014, Dresden 20th MARS Conference Presentation Outline

More information

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM PLANET IMAGERY PRODUCT SPECIFICATIONS SUPPORT@PLANET.COM PLANET.COM LAST UPDATED JANUARY 2018 TABLE OF CONTENTS LIST OF FIGURES 3 LIST OF TABLES 4 GLOSSARY 5 1. OVERVIEW OF DOCUMENT 7 1.1 Company Overview

More information

White Paper. Medium Resolution Images and Clutter From Landsat 7 Sources. Pierre Missud

White Paper. Medium Resolution Images and Clutter From Landsat 7 Sources. Pierre Missud White Paper Medium Resolution Images and Clutter From Landsat 7 Sources Pierre Missud Medium Resolution Images and Clutter From Landsat7 Sources Page 2 of 5 Introduction Space technologies have long been

More information

GeoBase Raw Imagery Data Product Specifications. Edition

GeoBase Raw Imagery Data Product Specifications. Edition GeoBase Raw Imagery 2005-2010 Data Product Specifications Edition 1.0 2009-10-01 Government of Canada Natural Resources Canada Centre for Topographic Information 2144 King Street West, suite 010 Sherbrooke,

More information

US Commercial Imaging Satellites

US Commercial Imaging Satellites US Commercial Imaging Satellites In the early 1990s, Russia began selling 2-meter resolution product from its archives of collected spy satellite imagery. Some of this product was down-sampled to provide

More information

DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA

DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA Costas ARMENAKIS Centre for Topographic Information - Geomatics Canada 615 Booth Str., Ottawa,

More information

(Presented by Jeppesen) Summary

(Presented by Jeppesen) Summary International Civil Aviation Organization SAM/IG/6-IP/06 South American Regional Office 24/09/10 Sixth Workshop/Meeting of the SAM Implementation Group (SAM/IG/6) - Regional Project RLA/06/901 Lima, Peru,

More information

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING K. Jacobsen Leibniz University Hannover, Institute of Photogrammetry and Geoinformation jacobsen@ipi.uni-hannover.de Commission

More information

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION DooChun Seo 1, GiByeong Hong 1, ChungGil Jin 1, DaeSoon Park 1, SukWon Ji 1 and DongHan Lee 1 1 KARI(Korea Aerospace Space Institute), 45, Eoeun-dong,

More information

Remote sensing image correction

Remote sensing image correction Remote sensing image correction Introductory readings remote sensing http://www.microimages.com/documentation/tutorials/introrse.pdf 1 Preprocessing Digital Image Processing of satellite images can be

More information

CALIBRATION OF OPTICAL SATELLITE SENSORS

CALIBRATION OF OPTICAL SATELLITE SENSORS CALIBRATION OF OPTICAL SATELLITE SENSORS KARSTEN JACOBSEN University of Hannover Institute of Photogrammetry and Geoinformation Nienburger Str. 1, D-30167 Hannover, Germany jacobsen@ipi.uni-hannover.de

More information

Aral Sea profile Selection of area 24 February April May 1998

Aral Sea profile Selection of area 24 February April May 1998 250 km Aral Sea profile 1960 1960 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 2010? Selection of area Area of interest Kzyl-Orda Dried seabed 185 km Syrdarya river Aral Sea Salt

More information

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution CHARACTERISTICS OF REMOTELY SENSED IMAGERY Spatial Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.

More information

Time Trend Evaluations of Absolute Accuracies for PRISM and AVNIR-2

Time Trend Evaluations of Absolute Accuracies for PRISM and AVNIR-2 The 3 rd ALOS Joint PI Symposium, Kona, Hawaii, US Nov. 9-13, 2009 Time Trend Evaluations of Absolute Accuracies for PRISM and AVNIR-2 Takeo Tadono*, Masanobu Shimada*, Hiroshi Murakami*, Junichi Takaku**,

More information

High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony

High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony High Resolution Sensor Test Comparison with SPOT, KFA1000, KVR1000, IRS-1C and DPA in Lower Saxony K. Jacobsen, G. Konecny, H. Wegmann Abstract The Institute for Photogrammetry and Engineering Surveys

More information

Landsat 8. Snabba leveranser av bilder till användarna. Lars-Åke Edgardh. tisdag 9 april 13

Landsat 8. Snabba leveranser av bilder till användarna. Lars-Åke Edgardh. tisdag 9 april 13 Landsat 8 Snabba leveranser av bilder till användarna Lars-Åke Edgardh Keystone A single system for: Many sensors Many types of clients Hides the complexity of sensors. Specialised on: Services High volume

More information

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Remote sensing in archaeology from optical to lidar Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Introduction Optical remote sensing Systems Search for

More information

Specialists in Satellite Imagery and Geospatial Solutions. Satellite Imagery a valuable tool for the Mining Industry

Specialists in Satellite Imagery and Geospatial Solutions. Satellite Imagery a valuable tool for the Mining Industry Specialists in Satellite Imagery and Geospatial Solutions Satellite Imagery a valuable tool for the Mining Industry Satellites Deciding which is the best satellite imagery for your application? Geoimage

More information

News on Image Acquisition for the CwRS Campaign new sensors and changes

News on Image Acquisition for the CwRS Campaign new sensors and changes Control Methods Workshop: 6-8 / 4 / 2009 [CwRS KO Meeting Campaign 2009] 1 News on Image Acquisition for the CwRS Campaign 2009 - new sensors and changes Pär Johan Åstrand, Joanna Nowak, Maria Erlandsson

More information

Introduction to Remote Sensing

Introduction to Remote Sensing Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices Image classifications Image change detections Accuracy assessment Satellites & Air-Photos

More information

Accurate, Detailed Elevation

Accurate, Detailed Elevation White Paper Accurate, Detailed Elevation LEVERAGE HIGH RESOLUTION SATELLITE STEREO IMAGERY TO DERIVE DETAILED, ACCURATE ELEVATION MODELS IN INNACCESSIBLE AREAS Dr. Waldir Paradella and Dr. Philip CHeng

More information

TechTime New Mapping Tools for Transportation Engineering

TechTime New Mapping Tools for Transportation Engineering GeoEye-1 Stereo Satellite Imagery Presented by Karl Kliparchuk, M.Sc., GISP kkliparchuk@mcelhanney.com 604-683-8521 All satellite imagery are copyright GeoEye Corp GeoEye-1 About GeoEye Corp Headquarters:

More information

EO Data Today and Application Fields. Denise Petala

EO Data Today and Application Fields. Denise Petala EO Data Today and Application Fields Denise Petala ! IGD GROUP AE "Infotop SA, Geomet Ltd., Dynatools Ltd. "Equipment and know how in many application fields, from surveying till EO data and RS. # Leica,

More information

Spectral Signatures. Vegetation. 40 Soil. Water WAVELENGTH (microns)

Spectral Signatures. Vegetation. 40 Soil. Water WAVELENGTH (microns) Spectral Signatures % REFLECTANCE VISIBLE NEAR INFRARED Vegetation Soil Water.5. WAVELENGTH (microns). Spectral Reflectance of Urban Materials 5 Parking Lot 5 (5=5%) Reflectance 5 5 5 5 5 Wavelength (nm)

More information

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of WorldView-1 Data

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of WorldView-1 Data Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of WorldView-1 Data WorldView 1, launched on September 18, 2007, offers a panchromatic imagery at a very high resolution of 50 cm at nadir. The key benefits

More information

Remote Sensing Exam 2 Study Guide

Remote Sensing Exam 2 Study Guide Remote Sensing Exam 2 Study Guide Resolution Analog to digital Instantaneous field of view (IFOV) f ( cone angle of optical system ) Everything in that area contributes to spectral response mixels Sampling

More information

Introduction of Satellite Remote Sensing

Introduction of Satellite Remote Sensing Introduction of Satellite Remote Sensing Spatial Resolution (Pixel size) Spectral Resolution (Bands) Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands)

More information

Satellite data processing and analysis: Examples and practical considerations

Satellite data processing and analysis: Examples and practical considerations Satellite data processing and analysis: Examples and practical considerations Dániel Kristóf Ottó Petrik, Róbert Pataki, András Kolesár International LCLUC Regional Science Meeting in Central Europe Sopron,

More information

Tutorial 10 Information extraction from high resolution optical satellite sensors

Tutorial 10 Information extraction from high resolution optical satellite sensors Tutorial 10 Information extraction from high resolution optical satellite sensors Karsten Jacobsen 1, Emmanuel Baltsavias 2, David Holland 3 1 University of, Nienburger Strasse 1, D-30167, Germany, jacobsen@ipi.uni-hannover.de

More information

Update on Landsat Program and Landsat Data Continuity Mission

Update on Landsat Program and Landsat Data Continuity Mission Update on Landsat Program and Landsat Data Continuity Mission Dr. Jeffrey Masek LDCM Deputy Project Scientist NASA GSFC, Code 923 November 21, 2002 Draft LDCM Implementation Phase RFP Overview Page 1 Celebrate!

More information

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD

TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD TEMPORAL ANALYSIS OF MULTI EPOCH LANDSAT GEOCOVER IMAGES IN ZONGULDAK TESTFIELD Şahin, H. a*, Oruç, M. a, Büyüksalih, G. a a Zonguldak Karaelmas University, Zonguldak, Turkey - (sahin@karaelmas.edu.tr,

More information

HIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING. Author: Peter Fricker Director Product Management Image Sensors

HIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING. Author: Peter Fricker Director Product Management Image Sensors HIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING Author: Peter Fricker Director Product Management Image Sensors Co-Author: Tauno Saks Product Manager Airborne Data Acquisition Leica Geosystems

More information

Remote Sensing. The following figure is grey scale display of SPOT Panchromatic without stretching.

Remote Sensing. The following figure is grey scale display of SPOT Panchromatic without stretching. Remote Sensing Objectives This unit will briefly explain display of remote sensing image, geometric correction, spatial enhancement, spectral enhancement and classification of remote sensing image. At

More information

PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE

PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE LAST UPDATED OCTOBER 2016 SALES@PLANET.COM PLANET.COM Table of Contents LIST OF FIGURES 3 LIST OF TABLES 3 GLOSSARY 5 1. OVERVIEW OF DOCUMENT

More information

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11 GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11 Global Positioning Systems GPS is a technology that provides Location coordinates Elevation For any location with a decent view of the sky

More information

INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE

INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE M. Alkan a, * a Department of Geomatics, Faculty of Civil Engineering, Yıldız Technical University,

More information

OVERVIEW OF THE ALOS SATELLITE SYSTEM

OVERVIEW OF THE ALOS SATELLITE SYSTEM OVERVIEW OF THE ALOS SATELLITE SYSTEM Presented to The Symposium for ALOS Data Application Users @Kogakuin University, Tokyo, Japan Mar. 27, 2001 Takashi Hamazaki Senior Engineer ALOS Project National

More information

LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose

LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose Slavko Lemajić Wim Devos, Pavel Milenov GeoCAP Action - MARS Unit - JRC Ispra Tallinn, 24 th November 2011 Outline JRC`s Ortho specifications

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

ANALYSIS OF SRTM HEIGHT MODELS

ANALYSIS OF SRTM HEIGHT MODELS ANALYSIS OF SRTM HEIGHT MODELS Sefercik, U. *, Jacobsen, K.** * Karaelmas University, Zonguldak, Turkey, ugsefercik@hotmail.com **Institute of Photogrammetry and GeoInformation, University of Hannover,

More information

ASTER GDEM Readme File ASTER GDEM Version 1

ASTER GDEM Readme File ASTER GDEM Version 1 I. Introduction ASTER GDEM Readme File ASTER GDEM Version 1 The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) was developed jointly by the

More information

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing

Int n r t o r d o u d c u ti t on o n to t o Remote Sensing Introduction to Remote Sensing Definition of Remote Sensing Remote sensing refers to the activities of recording/observing/perceiving(sensing)objects or events at far away (remote) places. In remote sensing,

More information

POTENTIAL OF MANUAL AND AUTOMATIC FEATURE EXTRACTION FROM HIGH RESOLUTION SPACE IMAGES IN MOUNTAINOUS URBAN AREAS

POTENTIAL OF MANUAL AND AUTOMATIC FEATURE EXTRACTION FROM HIGH RESOLUTION SPACE IMAGES IN MOUNTAINOUS URBAN AREAS POTENTIAL OF MANUAL AND AUTOMATIC FEATURE EXTRACTION FROM HIGH RESOLUTION SPACE IMAGES IN MOUNTAINOUS URBAN AREAS H. Topan a, *, M. Oruç a, K. Jacobsen b a ZKU, Engineering Faculty, Dept. of Geodesy and

More information

Outline. Introduction. Introduction: Film Emulsions. Sensor Systems. Types of Remote Sensing. A/Prof Linlin Ge. Photographic systems (cf(

Outline. Introduction. Introduction: Film Emulsions. Sensor Systems. Types of Remote Sensing. A/Prof Linlin Ge. Photographic systems (cf( GMAT x600 Remote Sensing / Earth Observation Types of Sensor Systems (1) Outline Image Sensor Systems (i) Line Scanning Sensor Systems (passive) (ii) Array Sensor Systems (passive) (iii) Antenna Radar

More information

9/13/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011

9/13/2011. Training Course Remote Sensing Basic Theory & Image Processing Methods September 2011 Training Course Remote Sensing Basic Theory & Image Processing Methods 19 23 September 2011 DIGITAL TERRAIN MODELS Introduction Michiel Damen (April 2011) damen@itc.nl 1 Digital Elevation and Terrain Models

More information

Designing a Remote Sensing Project. Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts

Designing a Remote Sensing Project. Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts Designing a Remote Sensing Project Many factors to consider: here lumped into 12 sections hold on!! first some basic concepts DVC Geography 160 Introduction to Remote Sensing J. Ellis DigitalGlobe (2006)

More information

DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS. Karsten Jacobsen. University of Hannover, Germany

DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS. Karsten Jacobsen. University of Hannover, Germany DEMS BASED ON SPACE IMAGES VERSUS SRTM HEIGHT MODELS Karsten Jacobsen University of Hannover, Germany jacobsen@ipi.uni-hannover.de Key words: DEM, space images, SRTM InSAR, quality assessment ABSTRACT

More information

Contributions of the Remote Sensing by Earth Observation Satellites on Engineering Geology

Contributions of the Remote Sensing by Earth Observation Satellites on Engineering Geology 10th Asian Regional Conference of IAEG (2015) Contributions of the Remote Sensing by Earth Observation Satellites on Engineering Geology Takeo TADONO (1), Hiroto NAGAI (1), Atsuko NONOMURA (2) and Ryoichi

More information

INTEGRATED DEM AND PAN-SHARPENED SPOT-4 IMAGE IN URBAN STUDIES

INTEGRATED DEM AND PAN-SHARPENED SPOT-4 IMAGE IN URBAN STUDIES INTEGRATED DEM AND PAN-SHARPENED SPOT-4 IMAGE IN URBAN STUDIES G. Doxani, A. Stamou Dept. Cadastre, Photogrammetry and Cartography, Aristotle University of Thessaloniki, GREECE gdoxani@hotmail.com, katerinoudi@hotmail.com

More information

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary.

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. Image interpretation Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. 50 1 N 110 7 W Milestones in the History of Remote Sensing 19 th century

More information

Satellite Ortho Suite

Satellite Ortho Suite Technical Specifications Satellite Ortho Suite The Satellite Ortho Suite includes rigorous and rational function models developed to compensate for distortions and produce orthorectified satellite images

More information

Files Used in This Tutorial. Background. Calibrating Images Tutorial

Files Used in This Tutorial. Background. Calibrating Images Tutorial In this tutorial, you will calibrate a QuickBird Level-1 image to spectral radiance and reflectance while learning about the various metadata fields that ENVI uses to perform calibration. This tutorial

More information

ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS

ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS ASSESSMENT OF SRTM, ACE2 AND ASTER-GDEM USING RTK-GPS Hsing-Chung Chang, Xiaojing Li, Linlin Ge School of Surveying and Spatial Information Systems The University of New South Wales, Sydney, NSW 2052,

More information

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS

REMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS REMOTE SENSING Topic 10 Fundamentals of Digital Multispectral Remote Sensing Chapter 5: Lillesand and Keifer Chapter 6: Avery and Berlin MULTISPECTRAL SCANNERS Record EMR in a number of discrete portions

More information

POTENTIAL OF HIGH-RESOLUTION INDIAN REMOTE SENSING SATELLITE IMAGERY FOR LARGE SCALE MAPPING

POTENTIAL OF HIGH-RESOLUTION INDIAN REMOTE SENSING SATELLITE IMAGERY FOR LARGE SCALE MAPPING POTENTIAL OF HIGH-RESOLUTION INDIAN REMOTE SENSING SATELLITE IMAGERY FOR LARGE SCALE MAPPING P.V. Radhadevi *, V.Nagasubramanian, Archana Mahapatra, S.S.Solanki, Krishna Sumanth & Geeta Varadan Advanced

More information

Automatic geo-registration of satellite imagery

Automatic geo-registration of satellite imagery Fjärranalysdagarna 10-11 mars 2009 Automatic geo-registration of satellite imagery Torbjörn Westin Lars-Åke Edgardh Ian Spence Spacemetric AB www.spacemetric.com Keystone Image Server Keystone is an automatic

More information

Pléiades. Access to data. Charlotte Gabriel-Robez. January Pléiades product manager

Pléiades. Access to data. Charlotte Gabriel-Robez. January Pléiades product manager Pléiades Access to data Charlotte Gabriel-Robez Pléiades product manager January 2012 A variety of users 2008: Delegation of Public Service Granted by CNES to Spot Image Astrium Services (ex. Spot Image)

More information

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology

More information

KOMPSAT-2 DIRECT SENSOR MODELING AND GEOMETRIC CALIBRATION/VALIDATION

KOMPSAT-2 DIRECT SENSOR MODELING AND GEOMETRIC CALIBRATION/VALIDATION KOMPSAT-2 DIRECT SENSOR MODELING AND GEOMETRIC CALIBRATION/VALIDATION Doo Chun Seo a, *, Ji Yeon Yang a, Dong Han Lee a, Jeong Heon Song a, Hyo Suk Lim a a KARI, Satellite Information Research Institute,

More information

Basic Digital Image Processing. The Structure of Digital Images. An Overview of Image Processing. Image Restoration: Line Drop-outs

Basic Digital Image Processing. The Structure of Digital Images. An Overview of Image Processing. Image Restoration: Line Drop-outs Basic Digital Image Processing A Basic Introduction to Digital Image Processing ~~~~~~~~~~ Rev. Ronald J. Wasowski, C.S.C. Associate Professor of Environmental Science University of Portland Portland,

More information

Leica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008

Leica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008 Luzern, Switzerland, acquired at 5 cm GSD, 2008. Leica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008 Shawn Slade, Doug Flint and Ruedi Wagner Leica Geosystems AG, Airborne

More information

1. Introduction 2. Tectonics of NE Iceland Krafla rifting crisis (constraints from spy image matching)

1. Introduction 2. Tectonics of NE Iceland Krafla rifting crisis (constraints from spy image matching) 1. Introduction 2. Tectonics of NE Iceland 3. 1975-1984 Krafla rifting crisis (constraints from spy image matching) 4. 1975-1984 Krafla rifting crisis (constraints from aerial photos) 5. Conclusions Tuesday

More information

CALIBRATION OF IMAGING SATELLITE SENSORS

CALIBRATION OF IMAGING SATELLITE SENSORS CALIBRATION OF IMAGING SATELLITE SENSORS Jacobsen, K. Institute of Photogrammetry and GeoInformation, University of Hannover jacobsen@ipi.uni-hannover.de KEY WORDS: imaging satellites, geometry, calibration

More information

Remote Sensing. Measuring an object from a distance. For GIS, that means using photographic or satellite images to gather spatial data

Remote Sensing. Measuring an object from a distance. For GIS, that means using photographic or satellite images to gather spatial data Remote Sensing Measuring an object from a distance For GIS, that means using photographic or satellite images to gather spatial data Remote Sensing measures electromagnetic energy reflected or emitted

More information

Remote Sensing and GIS

Remote Sensing and GIS Remote Sensing and GIS Atmosphere Reflected radiation, e.g. Visible Emitted radiation, e.g. Infrared Backscattered radiation, e.g. Radar (λ) Visible TIR Radar & Microwave 11/9/2017 Geo327G/386G, U Texas,

More information

Sentinel-2 Products and Algorithms

Sentinel-2 Products and Algorithms Sentinel-2 Products and Algorithms Ferran Gascon (Sentinel-2 Data Quality Manager) Workshop Preparations for Sentinel 2 in Europe, Oslo 26 November 2014 Sentinel-2 Mission Mission Overview Products and

More information

Remote Sensing Platforms

Remote Sensing Platforms Types of Platforms Lighter-than-air Remote Sensing Platforms Free floating balloons Restricted by atmospheric conditions Used to acquire meteorological/atmospheric data Blimps/dirigibles Major role - news

More information

NRS 415 Remote Sensing of Environment

NRS 415 Remote Sensing of Environment NRS 415 Remote Sensing of Environment 1 High Oblique Perspective (Side) Low Oblique Perspective (Relief) 2 Aerial Perspective (See What s Hidden) An example of high spatial resolution true color remote

More information

remote sensing? What are the remote sensing principles behind these Definition

remote sensing? What are the remote sensing principles behind these Definition Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared

More information

CHAPTER II LITERATURE REVIEW. ALOS (Advanced Land Observation Satellite) was successfully launched on January 24,

CHAPTER II LITERATURE REVIEW. ALOS (Advanced Land Observation Satellite) was successfully launched on January 24, 5 CHAPTER II LITERATURE REVIEW 2.1 ALOS Image (Advanced Land Observation Satellite) ALOS (Advanced Land Observation Satellite) was successfully launched on January 24, 2006 from the Tanegashima Space Centre.

More information

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office The Normal Baseline Dick Gent Law of the Sea Division UK Hydrographic Office 2 The normal baseline for measuring the breadth of the territorial sea is the low water line along the coast as marked on large

More information

Using the Chip Database

Using the Chip Database Using the Chip Database TUTORIAL A chip database is a collection of image chips or subsetted images where each image has a GCP associated with it. A chip database can be useful when orthorectifying different

More information

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION F. Gao a, b, *, J. G. Masek a a Biospheric Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA b Earth

More information

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Paul R. Baumann, Professor Emeritus State University of New York College at Oneonta Oneonta, New York 13820 USA COPYRIGHT 2008 Paul R. Baumann Introduction Remote

More information

Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS

Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS Govt. Engineering College Jhalawar Model Question Paper Subject- Remote Sensing & GIS Time: Max. Marks: Q1. What is remote Sensing? Explain the basic components of a Remote Sensing system. Q2. What is

More information