INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 3, 2012
|
|
- Arthur Williams
- 6 years ago
- Views:
Transcription
1 INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 3, 2012 Copyright 2010 All rights reserved Integrated Publishing services Research article ISSN Generation and evaluation of Cartosat -1 DEM for Chhota Shigri Glacier, Himalaya Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay Mumbai , India ABSTRACT A digital elevation model (DEM) is a simple representation of a surface in 3 dimensional way with height as the third dimension along with x and y in rectangular axes. DEM has wide applications in various areas like disaster management, hydrology and water management, geomorphology and in urban development. Valuable information about a terrain can be inferred by exploiting a DEM in proper way. Study of DEM becomes very useful for studying mountainous terrain such as Himalaya which is otherwise hard to access due to harsh weather and inaccessibility. Cartosat-1 or IRS P5 (Indian Remote Sensing Satellite) is a state-of-the-art remote sensing satellite built by ISRO which is mainly intended for cartographic applications. The satellite carries two panchromatic cameras which are capable of acquiring stereoscopic data along the orbital track. The high resolution stereo data have great potential to produce high-quality DEM. This paper discusses the generation of DEM from Cartosat -1 data for Chhota Shigri glacier (Himachal Pradesh, India). The DEM from Cartosat data was generated both using ground control points (GCPs) and without GCPs. The accuracy of both the DEM has been assessed. Keywords: Digital Elevation Model, Cartosat-1, Glacier, Chhota Shigri, Photogrammetry 1. Introduction A DEM is a representation of Earth surface with latitude, longitude and altitude i.e. X, Y horizontal coordinates and height Z. DEMs play an important tool for the analysis of glaciers and glaciated terrains (Bishop et al. 2001, Duncan et al. 1998, Etzelmüller & Sollid 1997, Paul et al. 2004, Sidjak & Wheate 1999). The launch of ISRO s Cartosat -1 satellite has opened a vast possibility for various areas like disaster management, hydrology and water management, geomorphology, urban development, map creation and resource management. Cartosat-1 is designed for cartography applications (Kocaman, 2008). The satellite is placed in the polar Sun Synchronous Orbit of 618 km from Earth. It has a payload consisting of two cameras - one near nadir looking aft (A) and the other forward looking fore (F) with a tilt of - 5 degree and +26 degree providing the real time stereo data along the track. These cameras are mounted with a fixed geometry which helps in collecting stereo coverage of the terrain at a fixed B/H ratio of The swath covered by these high resolution PAN cameras is 30 km and their spatial resolution is 2.5 meters. A description of the Cartosat-1 mission is given in Krishnaswamy and Kalyanaraman (2002), Krishnaswamy (2002) (Kocaman et al., 2008). The stereo data from this satellite along with the Rational Polynomial Coefficients (RPC) can be used to generate DEM. The positional and height accuracies of Cartosat data products generated using RPC are in the range of 100m to 250m. The Rational Polynomial Coefficient (RPC) file contains the third degree polynomial coefficients that relate the image to the object space considering the imaging sensor geometry. These RPCs are sensor derived and terrain Submitted on January 2012 published on February
2 independent (Rao et al.). Rational Polynomial satellite sensor models are simpler empirical mathematical models relating image space (line and column position) to latitude, longitude, and surface elevation. The name Rational Polynomial derives from the fact that the model is expressed as the ratio of two cubic polynomial expressions (Gopal Krishna et al, 2008). 2. Objectives This paper examines the generation of DEM from Cartosat -1 stereo data pair. To generate an accurate DEM from stereo data ground control points are required. In many practical applications the collection of GCPs are a major problem and for some of the region which are not accessible, it is very difficult to acquire GCPs manually. Himalayan region is one such area where the collection of GCPs is very difficult and expensive. In this study DEM has been generated using both GCPs and without GCPs and compared. 2.1 Study area The study was carried out on Chhota Shigri glacier (32 11'N 'N and E E), Chandra valley, located in Lahaul-Spiti Valley, Himachal Pradesh. The Lahaul Spiti district comes under the Pir-Panjal range of Himalaya (figure 1). Chandra valley lies between an altitude ranges of 3300m to 6000m. The valley falls under the monsoon-arid transition zone and is climatically important as it is influenced by both Indian Summer Monsoon and Western disturbances. 2.2 Data used Figure 1: Location map of Chhota Shigri, Himachal Pradesh, India Cartosat-1 stereo data pair dated 28 th September 2008 were used to generate the DEM. 3. Methodology for DEM Generation Leica Photogrammetry suite (LPS) version 9.3 Software package was used to generate DEM from Cartosat-1 stereo data pairs. The software can be used to generate DEM, orthorectified image, editing of generated DEM, mosaic and image calibration. The software supports reading of data, manual or automatic GCP/tie points (TP) collection and geometric modeling of different satellites including RPC model and zero order, a first order and second order RPC polynomial adjustments (Gopal Krishna et al, 2008). The RPC method based on the block adjustment method developed by Grodecki and Dial was used for DEM generation. A block project file has to be created inside the software for the DEM generation defining the 705
3 geometric model as RPC model. The block project has assigned the horizontal and vertical coordinates with UTM projection and WGS 84 datum. The stereo pair images band a and band f were added to the frame. The interior and exterior orientations corresponding to the RPC files were carried out in frame editor. Interior orientation defines the internal geometry of a sensor, as it existed at the time of image capture and exterior orientation is the position and angular orientation of the sensor that captured the image. The software extracts sensor information from RPC file and carries out the interior and exterior orientation. The pyramid layers were computed and updated. The generation of DEM from stereo data needs geometric model and GCPs. A DEM prepared using GCPs is known as absolute DEM and that without using GCPs is known as relative DEM. In the absolute DEM the horizontal and vertical references systems are tied to geodetic coordinates whereas a relative DEM is a DEM with relative differences in position, scale, and rotation from the geodetic coordinates on the ground (horizontal reference system) and the mean sea level (vertical reference system) (from ENVI tutorial). The DEM was generated both using GCPs and without GCPs. The flow chart of complete method is shown in figure DEM generation with GCPs Figure 2: Flow chart of DEM generation methodology LPS 9.3 was used for DEM generation and orthorectified image generation from Cartosat-1 stereo data. The stereo data Band a and Band f overlap is around 90%. Since the study area is located in the rugged part of Himalaya, collection of GCPs around the area is not easily possible pertaining to its harsh weather and inaccessibility. The region is highly terraneous and difficult to reach. So well distributed control point collection was not possible. Ground control points were collected near and around the snout of the Chhota Shigri glacier. The points taken were from GPS having a vertical accuracy of approx 8m (as provided by the instrument) and having horizontal accuracy in the centimeter range. 5 ground control points were used in the refinement of RPC model and DEM generation and 2 points were used as check point to check the accuracy of the DEM generated. 706
4 The classical point measurement tool was used to add the GCPs and to generate tie points. Ground points were added to the images. Tie points were generated both manually and automatically for even distribution of them. Tie points are points which can be identified in the overlap area of stereo images and whose ground coordinates are not known. A total 59 tie points were generated and there location accuracy was checked. The tie points and GSPs distribution in Band a and Band f images are shown in figure 3. Figure 3: The distribution of tie point, control points and check points in Band a and Band b The triangulation was run after adding GCPs and tie points. Triangulation is used to improve the accuracy and refinement of RFM. Triangulation process established relation between images, sensor model and ground points (Krishnamurthy, 2008). The process was run to check the accuracy for GCPs and tie points. The triangulation error report for GCPs is shown in figure 4. Figure 4: Triangulation error report After running the triangulation the DSM was extracted with cell size of 10m. GCPs and tie points were used as seed vertices for DEM creation. This input enhances the relative position of the DEM (Krishnamurthy et al, 2008). The quality of extracted DEM based on the software is given in table below (table 1). 707
5 Table 1: quality of the extracted DEM Excellent % (1-0.85) % Good % ( ) % Fair % ( ) % Isolated % % Suspicious % % AFT (Band a) image was used for Orthorectification image because of its near nadir acquisition angle. Figure 5 shows the DEM and orthorectified image generated. Figure 5: Cartosat-1 generated DEM at 10m pixel size and the orthorectified image generated from Cartosat DEM generation without GCPs DEM generated without using GCPs is known as the relative DEM. Practically it is not always possible to collect ground control points especially in the difficult and hilly terrain of Himalaya. Though the accuracy of the relative DEM extracted without GCPs are poor as it depends on the accuracy of satellite, however if the relative DEM produced has good relative accuracy and represents relative terrain relief well, it is very useful for applications in geology, geomorphology (R. Tateishi and A. Akutsu, 1992). The generation of relative DEM in LPS 9.3 follows the same procedure as shown in the flow chart (figure 3) except addition of GCPs. Tie points were generated both manually and automatically for even distribution of the points and triangulation was run with zero polynomial order for refinement of model. The triangulation result is shown in the figure 6. Figure 6: Triangulation error report 708
6 The software based quality of the extracted DEM is given in table 2. Table 1: quality of the extracted DEM Excellent % (1-0.85) % Good % ( ) % Fair % ( ) % Isolated % % Suspicious % % The DEM and the orthorectified images generated without using GCPs are shown in figure 7. Figure 7: Cartosat-1 generated DEM at 10m pixel size and the orthorectified image generated from Cartosat-1 without GCPs 4. Evaluation of DEM For absolute DEM, the rational function model was used to correct the Cartosat-1 image GCPs. 2 check points were used to verify the accuracy. The GCPs were acquired using a high performance GPS with about 50 cm horizontal accuracy and 8 m vertical accuracy. The GCPs were acquired with UTM projection and WGS 84 datum. A total 5 GCPs were used as control points to refine the model and 2 were used as check points for positional accuracy. The overall RMSE of the DSM was with absolute linear error (Absolute Linear Error 90) of The overall ground control points RMSE are with Absolute Linear Error 90 of The ground RMSE of check points are (Mean Absolute Error: , Absolute Linear Error 90: ). The vertical accuracy of DSM generated from Cartosat-1 stereo data is within m with the use of GCPs. The evaluation of relative DSM was done with respect to the absolute DSM. The elevation profile of the relative DSM was compared with the absolute DSM. The profile was drawn both at high and low elevations and mean was calculated. From the evaluation it was found that the relative Cartosat-1 DSM overestimates the absolute DSM by a height of around 95m (figure 8). It is in agreement with the fact that the DSM generated from Cartosat-1stereo pairs without GCPs have vertical accuracy between m. 709
7 Figure 8: Profile of elevation comparison between DEM generated with GCPs and without GCPs 5. Conclusion The aim of the paper is to generate the DEM with stereo data for Himalayan terrain where the undulation is irregular. The DEM of Himalaya can be used to study the change in the elevation of glaciers which are again due to change in climate or due to tectonic activities. To study the elevation of Himalaya, DEM is the best source as direct method is very difficult due to harsh weather and rugged terrain of Himalaya. The DEM of the glacier can also be used to study the mass balance change in the glaciers and melt run off. This study attempts to generate a DEM of Himalaya using Cartosat -1 dataset which can be used for elevation change study and hence for mass balance change in the glacier. The DEM was prepared both using GCPs and without GCPs. Once, a DEM of Himalayan terrain is available, it can be used for various applications like landslide and hazards study, for tectonic activities study and for climatological studies. Acknowledgment Authors express their thanks to Dr. Sh. Ashwagosha Ganju, Director, SASE and Dr. Snehamani, Deputy Director, SASE, for providing support to carry out the field work. Authors are deeply thankful to Mr. G.G. Ponnurangam, CSRE, IIT Bombay for all his help. 6. References 1. Bishop, M.P., Bonk, R., Kamp, U. and Shroder, J.F., (2001), Topographic analysis and modeling for alpine glacier mapping. Polar Geography, 25, pp Duncan, C.C., Klein, A.J., Masek, J.G. and Isacks, B.L., (1998), Comparison of Late Pleistocene and modern glacier extents in central Nepal based on digital elevation data and satellite imagery. Quaternary Research, 49, pp Etzelmüller, B., and Sollid, J.L., (1997), Glacier geomorphometry an approach for analysing long-term glacier surface changes using grid-based digital elevation models. Annals of Glaciology, 24, pp Gopala Krishna, B., Amitabh, Srinivasan, T..P, Srivastava, P. K., (2008), Dem generation from high resolution multi-view data product. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B1. Beijing 2008, pp
8 5. Kocaman, S., Wolff, K., Gruen, A., Baltsavias, E., (2008), Geometric validation of Cartosat-1 imagery.., proc. 21 st ISPRS Comgress, 3-11 July, 2008 Beijing. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, Part B1-3, pp Krishnaswamy, M., (2002), Sensors and Platforms for High Resolution Imaging for Large Scale Mapping Applications - Indian Scenario. Indian Cartographer, DAPI-01, URL: (accssed 29 January, 2008). 7. Krishnaswamy, M., Kalyanaraman, S. (2002). Indian Remote Sensing Satellite Cartosat-1: Technical features and data products. Paper presented at Map Asia 2002 conference, 7-9 August, Bangkok, Thailand. Available at (accessed 29 January, 2008). 8. Paul, F., Huggel, C. and Kääb, A., (2004), Combining satellite multispectral image data and a digital elevation model for mapping debris-covered glaciers. Remote Sensing of Environment. 89(4), pp Rao, C.V., Sathyanarayana,P., Jain, D.S. and Manjunath A.S., Topographic map updation using cartosat-1 data. 10. Sidjak, R.W., and Wheate, R.D., (1999), Glacier mapping of the Illecillewaet icefield, British Columbia, Canada, using Landsat TM and digital elevation data. International Journal of Remote Sensing, 20, pp Tateishia, R. and Akutsua, A., (1992), Relative DEM production from SPOT data without GCP, International Journal of Remote Sensing, 13, pp
LONG STRIP MODELLING FOR CARTOSAT-1 WITH MINIMUM CONTROL
LONG STRIP MODELLING FOR CARTOSAT-1 WITH MINIMUM CONTROL Amit Gupta a, *, Jagjeet Singh Nain a, Sanjay K Singh a, T P Srinivasan a, B Gopala Krishna a, P K Srivastava a a Space Applications Centre, Indian
More informationEvaluation of DEM, and orthoimage generated from Cartosat-1 with its potential for feature extraction and visualization
American Journal of Remote Sensing 2013; 1(1) : 1-6 Published online February 20, 2013 (http://www.sciencepublishinggroup.com/j/ajrs) doi: 10.11648/j. ajrs.20130101.11 Evaluation of DEM, and orthoimage
More informationPlanet 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 informationPOTENTIAL 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 informationRECENT ADVANCES IN CARTOSAT-1 DATA PROCESSING
RECENT ADVANCES IN CARTOSAT-1 DATA PROCESSING Pradeep.K Srivastava*, T.P. Srinivasan, Amit Gupta, Sanjay Singh, Jagjeet Singh Nain, Amitabh, Shilpa Prakash, B. Kartikeyan & B. Gopala Krishna Space Applications
More informationTUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors
TUTORIAL Extraction of Geospatial Information from High Spatial Resolution Optical Satellite Sensors E. Baltsavias 1,L. Zhang 2, D. Holland 3, P.K. Srivastava 4, B. Gopala Krishna 4, T.P. Srinivasan 4
More informationHigh 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 informationEXAMPLES 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 informationPLANET 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 informationCALIBRATION 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 informationCOMPARISON OF DIGITAL ELEVATION MODELS GENERATED FROM SPOT-5 HRS STEREO DATA AND CARTOSAT-1 STEREO DATA
COMPARISON OF DIGITAL ELEVATION MODELS GENERATED FROM SPOT-5 HRS STEREO DATA AND CARTOSAT-1 STEREO DATA P V Radhadevi 1, Karsten Jacobsen 2,V Nagasubramanian 3, MV Jyothi 4 1,3, 4 Advanced Data processing
More informationDEM 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 informationKOMPSAT-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 informationROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD
ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD WORKSHOP on Best Practices under National Land Records
More informationGeomatica 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 informationGEOMETRIC 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 informationTopographic 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 informationGeomatica 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 informationAerial photography: Principles. Frame capture sensors: Analog film and digital cameras
Aerial photography: Principles Frame capture sensors: Analog film and digital cameras Overview Introduction Frame vs scanning sensors Cameras (film and digital) Photogrammetry Orthophotos Air photos are
More informationTEMPORAL 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 informationGovt. 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 informationEVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD
EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD D. Poli a, F. Remondino b, E. Angiuli c, G. Agugiaro b a Terra Messflug GmbH, Austria b 3D Optical Metrology Unit, Fondazione Bruno Kessler, Trento,
More informationCALIBRATION 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 informationAbstract 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 informationGeomatica 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 informationIN-FLIGHT GEOMETRIC CALIBRATION - AN EXPERIENCE WITH CARTOSAT-1 AND CARTOSAT-2
IN-FLIGHT GEOMETRIC CALIBRATION - AN EXPERIENCE WITH CARTOSAT-1 AND CARTOSAT-2 T. P. Srinivasan *, B. Islam, Sanjay K. Singh, B. Gopala Krishna, P. K. Srivastava Space Applications Centre, Indian Space
More informationRemote 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 informationAral 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 informationMODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA
MODULE 7 LECTURE NOTES 3 SHUTTLE RADAR TOPOGRAPHIC MISSION DATA 1. Introduction Availability of a reasonably accurate elevation information for many parts of the world was once very much limited. Dense
More informationJournal of Environmental Research And Development Vol. 5 No. 1, July-September 2010
COMPARATIVE STUDY OF HYDRO-MORPHOLOG- ICAL PARAMETERS EXTRACTED FROM DIGITAL ELEVATION MODEL (DEM) GENERATED FROM STEREO PAIR OF CARTOSAT- I SATELLITE DATA, SHUTTLE RADAR TOPOGRAPHIC MISSION (SRTM) AND
More informationCHARACTERISTICS 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 informationPLANET 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 informationAccurate, 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 informationContributions 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 informationCanImage. (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 informationTESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY
TESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY G. AGUGIAROa, D. POLIb, F. REMONDINOa, 3DOM, 3D Optical Metrology Unit Bruno Kessler Foundation, Trento, Italy a b Vermessung
More informationGeoBase 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 informationINTEGRATED 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 informationBaldwin and Mobile Counties, AL Orthoimagery Project Report. Submitted: March 23, 2016
2015 Orthoimagery Project Report Submitted: Prepared by: Quantum Spatial, Inc 523 Wellington Way, Suite 375 Lexington, KY 40503 859-277-8700 Page i of iii Contents Project Report 1. Summary / Scope...
More informationFEDERAL 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 informationSummary 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 informationGeometric potential of Pleiades models with small base length
European Remote Sensing: Progress, Challenges and Opportunities EARSeL, 2015 Geometric potential of Pleiades models with small base length Karsten Jacobsen Leibniz University Hannover, Institute of Photogrammetry
More informationTechTime 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 informationTutorial 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, ienburger Strasse 1, D-30167, Germany, jacobsen@ipi.uni-hannover.de
More informationWhat is Photogrammetry
Photogrammetry What is Photogrammetry Photogrammetry is the art and science of making accurate measurements by means of aerial photography: Analog photogrammetry (using films: hard-copy photos) Digital
More informationSample Copy. Not For Distribution.
Photogrammetry, GIS & Remote Sensing Quick Reference Book i EDUCREATION PUBLISHING Shubham Vihar, Mangla, Bilaspur, Chhattisgarh - 495001 Website: www.educreation.in Copyright, 2017, S.S. Manugula, V.
More informationProcessing of stereo scanner: from stereo plotter to pixel factory
Photogrammetric Week '03 Dieter Fritsch (Ed.) Wichmann Verlag, Heidelberg, 2003 Bignone 141 Processing of stereo scanner: from stereo plotter to pixel factory FRANK BIGNONE, ISTAR, France ABSTRACT With
More informationOVERVIEW 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 informationIMAGE DATA AND TEST FIELD
Georeferencing Accuracy of Ge With bias-corrected RPCs and a single GCP, the RMS georeferencing accuracy of GeoEye-1 stereo imagery reaches the unprecedented level of 0.10m (0.2 pixel) in planimetry and
More informationComparative Study of Cartosat-DEM and SRTM-DEM on Elevation Data and Terrain Elements
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2015, Volume 4, Issue 1, pp. 1361-1366, Article ID Tech-480 ISSN 2320-0243 Research Article Open Access Comparative Study of
More informationPLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE
PLANET IMAGERY PRODUCT SPECIFICATION: PLANETSCOPE & RAPIDEYE LAST UPDATED FEBRUARY 2017 SALES@PLANET.COM PLANET.COM Table of Contents LIST OF FIGURES 3 LIST OF TABLES 3 GLOSSARY 5 1. OVERVIEW OF DOCUMENT
More informationGeometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and
Geometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and Keystone digital photogrammetry software packages Inital Findings Joanna
More information9/12/2011. 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 informationHigh Mountain Asia 8-meter DEMs Derived from Along-track Optical Imagery. High Mountain Asia 8-meter DEMs Derived from Cross-track Optical Imagery
This user guide covers the following data sets: High Mountain Asia 8-meter DEMs Derived from Along-track Optical Imagery High Mountain Asia 8-meter DEMs Derived from Cross-track Optical Imagery Table of
More informationPhotogrammetry. Lecture 4 September 7, 2005
Photogrammetry Lecture 4 September 7, 2005 What is Photogrammetry Photogrammetry is the art and science of making accurate measurements by means of aerial photography: Analog photogrammetry (using films:
More informationLecture 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 informationIndian Remote Sensing Satellites
Resourcesat-1 Cartosat-1 Indian Remote Sensing Satellites -Current & Future Missions - Presented by: Timothy J. Puckorius Chairman & CEO EOTec 1 Presentation Topics Who is EOTec India s Earth Observation
More informationGEO 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 informationAn 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 informationBasics of Photogrammetry Note#6
Basics of Photogrammetry Note#6 Photogrammetry Art and science of making accurate measurements by means of aerial photography Analog: visual and manual analysis of aerial photographs in hard-copy format
More informationLab #10 Digital Orthophoto Creation (Using Leica Photogrammetry Suite)
Lab #10 Digital Orthophoto Creation (Using Leica Photogrammetry Suite) References: Leica Photogrammetry Suite Project Manager: Users Guide, Leica Geosystems LLC. Leica Photogrammetry Suite 9.2 Introduction:
More information1. 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 informationNews 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 informationImage 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 informationDrafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development ( ) Republic of Korea
Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development (2018 2030) Republic of Korea Bangkok, Thailand 31 May 1 June 2018 김 1 KARI Introduction Government
More informationLecture # 7 Coordinate systems and georeferencing
Lecture # 7 Coordinate systems and georeferencing Coordinate Systems Coordinate reference on a plane Coordinate reference on a sphere Coordinate reference on a plane Coordinates are a convenient way of
More information2019 NYSAPLS Conf> Fundamentals of Photogrammetry for Land Surveyors
2019 NYSAPLS Conf> Fundamentals of Photogrammetry for Land Surveyors George Southard GSKS Associates LLC Introduction George Southard: Master s Degree in Photogrammetry and Cartography 40 years working
More informationGEOREFERENCING FROM GEOEYE-1 IMAGERY: EARLY INDICATIONS OF METRIC PERFORMANCE
GEOREFERENCING FROM GEOEYE-1 IMAGERY: EARLY INDICATIONS OF METRIC PERFORMANCE C.S. Fraser & M. Ravanbakhsh Cooperative Research Centre for Spatial Information, Department of Geomatics, The University of
More information9/12/2011. 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 informationDEMS 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 informationThe 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 informationNON-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(Refer Slide Time: 1:28)
Introduction to Remote Sensing Dr. Arun K Saraf Department of Earth Sciences Indian Institute of Technology Roorkee Lecture 10 Image characteristics and different resolutions in Remote Sensing Hello everyone,
More informationPrinciples of Remote Sensing. Shuttle Radar Topography Mission S R T M. Michiel Damen. Dept. Earth Systems Analysis
Principles of Remote Sensing Shuttle Radar Topography Mission S R T M Michiel Damen Dept. Earth Systems Analysis Contents Present problems with DEMs Advantage of SRTM Cell size Mission and system Radar
More informationIMAGINE StereoSAR DEM TM
IMAGINE StereoSAR DEM TM Accuracy Evaluation age 1 of 12 IMAGINE StereoSAR DEM Product Description StereoSAR DEM is part of the IMAGINE Radar Mapping Suite and is designed to auto-correlate stereo pairs
More informationENVI Orthorectification Module
ENVI Orthorectification Module Orthorectify your imagery quickly and easily. CREASO - your partner for visual information solutions Rigorous Orthorectification. Simple Workflow. Trusted Method. The Need
More informationGround Truth for Calibrating Optical Imagery to Reflectance
Visual Information Solutions Ground Truth for Calibrating Optical Imagery to Reflectance The by: Thomas Harris Whitepaper Introduction: Atmospheric Effects on Optical Imagery Remote sensing of the Earth
More informationSection 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 informationSAR Imagery: Airborne or Spaceborne? Presenter: M. Lorraine Tighe PhD
SAR Imagery: Airborne or Spaceborne? Presenter: M. Lorraine Tighe PhD Introduction The geospatial community has seen a plethora of spaceborne SAR imagery systems where there are now extensive archives
More informationENVI Orthorectification Module
Visual Information Solutions ENVI Orthorectification Module Orthorectify Your Imagery Quickly and Easily. Rigorous Orthorectification. Simple Workflow. Trusted Method. The Need for Orthorectification Satellite
More informationAdvanced 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 informationSchool of Rural and Surveying Engineering National Technical University of Athens
Laboratory of Photogrammetry National Technical University of Athens Combined use of spaceborne optical and SAR data Incompatible data sources or a useful procedure? Charalabos Ioannidis, Dimitra Vassilaki
More informationSCIENCE & TECHNOLOGY
Pertanika J. Sci. & Technol. 21 (2): 387-396 (2013) SCIENCE & TECHNOLOGY Journal homepage: http://www.pertanika.upm.edu.my/ Production of Orthophoto and Volume Determination Using Low-Cost Digital Cameras
More informationANALYSIS 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 informationTHE MAPPING PERFORMANCE OF THE HRSC / SRC IN MARS ORBIT
THE MAPPING PERFORMANCE OF THE HRSC / SRC IN MARS ORBIT J. Oberst a, T. Roatsch a, B. Giese a, M. Wählisch a, F. Scholten a, K. Gwinner a, K.-D. Matz a, E. Hauber a, R. Jaumann a, J. Albertz b, S. Gehrke
More informationOn-orbit spatial resolution estimation of IRS: CARTOSAT-1 Cameras with images of artificial and man-made targets Preliminary Results
On-orbit spatial resolution estimation of IRS: CARTOSAT-1 Cameras with images of artificial and man-made targets Preliminary Results A. Senthil Kumar*, A.S. Manjunath, K.M.M. Rao, A.S. Kiran Kumar 1, R.R.
More informationFinal Examination Introduction to Remote Sensing. Time: 1.5 hrs Max. Marks: 50. Section-I (50 x 1 = 50 Marks)
Final Examination Introduction to Remote Sensing Time: 1.5 hrs Max. Marks: 50 Note: Attempt all questions. Section-I (50 x 1 = 50 Marks) 1... is the technology of acquiring information about the Earth's
More informationSPOT6. Impact of Spot 6 and 7 in the Constitution and Update of Spatial Data Infrastructures over Africa
Astrium Services 2012 SPOT6 Impact of Spot 6 and 7 in the Constitution and Update of Spatial Data Infrastructures over Africa K. Guérin, M. Bernard, T. Rousselin, B. Navaro, J. Korona 26 th International
More informationRADIOMETRIC AND GEOMETRIC CHARACTERISTICS OF PLEIADES IMAGES
RADIOMETRIC AND GEOMETRIC CHARACTERISTICS OF PLEIADES IMAGES K. Jacobsen a, H. Topan b, A.Cam b, M. Özendi b, M. Oruc b a Leibniz University Hannover, Institute of Photogrammetry and Geoinformation, Germany;
More informationSENSITIVITY ANALYSIS OF UAV-PHOTOGRAMMETRY FOR CREATING DIGITAL ELEVATION MODELS (DEM)
SENSITIVITY ANALYSIS OF UAV-PHOTOGRAMMETRY FOR CREATING DIGITAL ELEVATION MODELS (DEM) G. Rock a, *, J.B. Ries b, T. Udelhoven a a Dept. of Remote Sensing and Geomatics. University of Trier, Behringstraße,
More informationCLICK HERE TO KNOW MORE
CLICK HERE TO KNOW MORE Signal Strength Measurements and Coverage Estimation of Mobile Communication Network Using IRS-IC Multispectral and CARTOSAT-1 Stereo Images B. NAVEENCHANDRA 1, K. N. LOKESH 2,
More informationENVI Tutorial: Orthorectifying Aerial Photographs
ENVI Tutorial: Orthorectifying Aerial Photographs Table of Contents OVERVIEW OF THIS TUTORIAL...2 ORTHORECTIFYING AERIAL PHOTOGRAPHS IN ENVI...2 Building the interior orientation...3 Building the exterior
More informationPRODUCT LEVELS 2 Georectified Products... 3 Orthorectified Products... 4 Stereo Products... 5 Off-the-Shelf Products... 6
i TABLE OF CONTENTS INTRODUCTION 1 PRODUCT LEVELS 2 Georectified Products... 3 Orthorectified Products... 4 Stereo Products... 5 Off-the-Shelf Products... 6 SPECIFICATIONS 7 Spectral Range... 7 Clouds...
More informationDESIS 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 informationSatellite 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 informationNews on Image Acquisition for Campaign 2008
Ispra, 3-4/04/2008 CwRS KO meeting 1 News on Image Acquisition for Campaign 2008 Pär Johan Åstrand, Maria Erlandsson, annian Zhu CID Action Ispra, 3-4/04/2008 CwRS KO meeting 2 Outline of presentation
More informationASTER 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 informationTHREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES ABSTRACT INTRODUCTION
THREE-DIMENSIONAL MAPPING USING BOTH AIRBORNE AND SPACEBORNE IFSAR TECHNOLOGIES Trina Kuuskivi Manager of Value Added Products and Services, Intermap Technologies Corp. 2 Gurdwara Rd, Suite 200, Ottawa,
More informationPotential of ASTER and LANDSAT Images for Mapping Features in Western Desert
522 Potential of ASTER and LANDSAT Images for Mapping Features in Western Desert Mahmoud El Nokrashy Osman Ali, Ibrahim Fathy Mohamed Shaker, Nasr Mohammady Saba Abstract: In Egypt, most of the topographic
More informationSPOT 5 / HRS: a key source for navigation database
SPOT 5 / HRS: a key source for navigation database CONTENT DEM and satellites SPOT 5 and HRS : the May 3 rd 2002 revolution Reference3D : a tool for navigation and simulation Marc BERNARD Page 1 Report
More information