Advanced Optical Satellite (ALOS-3) Overviews

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

Introduction to KOMPSAT

OVERVIEW OF THE ALOS SATELLITE SYSTEM

KOMPSAT Constellation. November 2012 Satrec Initiative

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

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

Geospatial Vision and Policies Korean Industry View 26 November, 2014 SI Imaging Services

OVERVIEW OF KOMPSAT-3A CALIBRATION AND VALIDATION

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

KEY TECHNOLOGY DEVELOPMENT FOR THE ADVENACED LAND OBSERVING SATELLITE

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD

Abstract Quickbird Vs Aerial photos in identifying man-made objects

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

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

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection

ALOS and PALSAR. Masanobu Shimada

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

US Commercial Imaging Satellites

Sensor resolutions from space: the tension between temporal, spectral, spatial and swath. David Bruce UniSA and ISU

CHARACTERISTICS OF VERY HIGH RESOLUTION OPTICAL SATELLITES FOR TOPOGRAPHIC MAPPING

The Current Status and Brief Results of Engineering Model for PALSAR-2 onboard ALOS-2 and Science Project

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

Compact High Resolution Imaging Spectrometer (CHRIS) siraelectro-optics

Futrajaya, Malaysia JULY 12, Jeong Heon SONG. Korea Aerospace Research Institution

FORMOSAT-5. - Launch Campaign-

Radiometric performance of Second Generation Global Imager (SGLI) using integrating sphere

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

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

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

On-orbit spatial resolution estimation of IRS: CARTOSAT-1 Cameras with images of artificial and man-made targets Preliminary Results

Remote Sensing Platforms

Japan's Greenhouse Gases Observation from Space

Concept of the future L-band SAR mission for wide swath SAR observation

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

Kazuhiro TANAKA GCOM project team/jaxa April, 2016

PLANET IMAGERY PRODUCT SPECIFICATIONS PLANET.COM

The Global Imager (GLI)

Tutorial 10 Information extraction from high resolution optical satellite sensors

Mission requirements and satellite overview

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

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

EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD

1. INTRODUCTION. GOCI : Geostationary Ocean Color Imager

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

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

The Sentinel-1 Constellation

IKONOS High Resolution Multispectral Scanner Sensor Characteristics

Indian Remote Sensing Satellites

Status of MOLI development MOLI (Multi-footprint Observation Lidar and Imager)

XSAT Ground Segment at CRISP

Radiometric Use of WorldView-3 Imagery. Technical Note. 1 WorldView-3 Instrument. 1.1 WorldView-3 Relative Radiance Response

Aral Sea profile Selection of area 24 February April May 1998

RECONNAISSANCE PAYLOADS FOR RESPONSIVE SPACE

Indian Remote Sensing Satellites

Phase One 190MP Aerial System

NEC s EO Sensors and Data Applications

Leica - 3 rd Generation Airborne Digital Sensors Features / Benefits for Remote Sensing & Environmental Applications

Sentinel-2 Products and Algorithms

School of Rural and Surveying Engineering National Technical University of Athens

National SPace Organization

Section 2 Image quality, radiometric analysis, preprocessing

LECTURE NOTES 2016 CONTENTS. Sensors and Platforms for Acquisition of Aerial and Satellite Image Data

The DigitalGlobe Constellation. World s Largest Sub-Meter High Resolution Satellite Constellation

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

WorldView-2. WorldView-2 Overview

ENMAP RADIOMETRIC INFLIGHT CALIBRATION, POST-LAUNCH PRODUCT VALIDATION, AND INSTRUMENT CHARACTERIZATION ACTIVITIES

First inflight results of Pleiades-1A innovative methods for optical calibration

ROSCOSMOS Agency Report. 36 th CEOS WGCV Plenary May 2013, Shanghai, China

HIGH RESOLUTION IMAGERY FOR MAPPING AND LANDSCAPE MONITORING

Copernicus Introduction Lisbon, Portugal 13 th & 14 th February 2014

Satellite/Aircraft Imaging Systems Imaging Sensors Standard scanner designs Image data formats

Sentinel-1 System Overview

Sub-Mesoscale Imaging of the Ionosphere with SMAP

EARTH OBSERVATION WITH SMALL SATELLITES

Lecture 7. Leica ADS 80 Camera System and Imagery. Ontario ADS 80 FRI Imagery. NRMT 2270, Photogrammetry/Remote Sensing

Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development ( ) Republic of Korea

Sentinel-1 Overview. Dr. Andrea Minchella

TESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY

Planet Labs Inc 2017 Page 2

Microwave Remote Sensing (1)

Consumer digital CCD cameras

Commissioning of the NigeriaSat-2 High Resolution Imaging Mission

On the use of water color missions for lakes in 2021

Remote Sensing of the Environment An Earth Resource Perspective John R. Jensen Second Edition

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

Photogrammetry. Lecture 4 September 7, 2005

Miguel A. Aguirre. Introduction to Space. Systems. Design and Synthesis. ) Springer

INF-GEO Introduction to remote sensing

3/31/03. ESM 266: Introduction 1. Observations from space. Remote Sensing: The Major Source for Large-Scale Environmental Information

Philpot & Philipson: Remote Sensing Fundamentals Scanners 8.1 W.D. Philpot, Cornell University, Fall 2015

LONG STRIP MODELLING FOR CARTOSAT-1 WITH MINIMUM CONTROL

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

NEW. Airborne Laser Scanning. Dual Wavelength Waveform Processing Airborne LiDAR Scanning System for High-Point Density Mapping Applications

Maximize Utilization of the performance of EOSs and strengthen. The First Steering Committee Secretariat JAXA

The Biomass Mission, status of the satellite system

EO Sensors : ISRO Past, Current & Future

Synthetic aperture RADAR (SAR) principles/instruments October 31, 2018

SATELLITE OCEANOGRAPHY

Microwave Remote Sensing

System outline of small standard bus and ASNARO spacecraft

Transcription:

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 Takaku 2, Fumi Ohgushi 2, and Masanori Doutsu 2 1 JAXA, 2 RESTEC E-mail: tadono.takeo@jaxa.jp

Contents Overview of the Advanced Optical Satellite (ALOS-3) Introduction Specifications Observation modes Simulated Image Generations Geometric and pointing simulation Radiometric and GSD simulation Results Summary 2

ALOS F/O Missions Continuous observation from Daichi (ALOS) Contribute to ensure the safety and security of the people, i.e. disasters monitoring and management, national developing management, foods and natural resources, environmental issues in global etc. as common issues Contribute to industrial development based on Earth observation data i.e. National Spatial Data infrastructure (NSDI) Jan. 2006 May 2011 May 2014 JFY2020 (Target) Daichi (ALOS) (Optical & SAR) Optical: PRISM, AVNIR-2 SAR: PALSAR ALOS-2 (SAR) May 24, 2014 SAR: PALSAR-2 - L-band Synthetic Aperture Radar - Observe in night time and rain - Wide swath (~490km) and fine resolution (1-3m) Next Optical - Panchromatic band : 0.8m - Multispectral band (6 bands): 3.2m - Observation swath: 70km at nadir - Body pointing capability for emergency disaster observation as well as stereo observation Advanced Optical Satellite (ALOS-3) 3

Overview of ALOS-3 Orbit Items Type Altitude Local Sun Time Revisit Instruments Ground Sampling Distance (GSD) Quantization Swath width Mission data rate Mission data downlink Mass Size Duty Design life time Specifications Sun-synchronous sub-recurrent 669 km at the equator 10:30 am +/- 15 minutes at the descending node 35 days (Sub-cycle 3 days) - Wide-swath and high-resolution optical imager (WISH, as a tentative) - Dual-frequencies Infrared sensor (hosted payload) - Panchromatic band of WISH (Pa): 0.8 m - Multispectral band of WISH (Mu): 3.2 m (6 bands) 11 bit / pixel 70 km at nadir Approx. 4 Gbps (after onboard data compression: 1/4 (Pa) and 1/3 (Mu)) - Direct Transmission: Ka and X-band - via. the Optical Data Relay Satellite Approx. 3 tons at launch 5 m 16 m 3.5 m on orbit 10 mins / recurrent Over 7 years Wide-swath and high-resolution optical imager (WISH) In-orbit configuration 4

Wide-Swath and High-Resolution Optical Imager Observation channel band allocations among optical satellites (visible to near-infrared). Wavelength 400 nm 500 nm 600 nm 700 nm 800 nm 900 nm 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 Advanced Optical Satellite Coastal Blue Green Red RedEdge Near-IR ALOS PRISM AVNIR-2 Blue Green Red Near-IR WorldView -2, 3 Coastal Blue Green Yellow Red RedEdge Near-IR1 Near-IR2 5

Observation Modes 1 Strip-map observation 2 Point observation 3 Observation direction changing 4 Wide-area observation The satellite can normally perform observation covering 70 km in width and 4,000 km in along-track direction as the strip-map observation mode. To increase the acquisition frequency, the images will be taken by less than 25 deg. pointing angle in cross-track direction (GSD < 1m) when the satellite track is in oceans. If the user has a certain ground point or an area of interest (AOI), the satellite can observe there using pointing capability within 60 deg. This mode will be used for natural disaster monitoring, for example. The satellite can observe any given point by the pointing capability up to 60 deg. in all direction against the satellite nadir. In the case of Japan, it can be activated within 24 hours after receiving the request. This will be used when the large natural disaster happens e.g. the expecting Nankai Trough large earthquake. This mode can cover in wide-ranging area of 200 km (in along-track direction) x 100 km (in cross-track direction) by satellite s single orbital passage. This will be also used when the large natural disaster happens. 5 Stereoscopic observation Two ways proposes to acquire stereo-pair image: 1) in single orbit path, and 2) combining two strip-map observations by nadir view and backward view in neighboring path after three days (sub-cycle revisit orbit). The way 1) will be however not sufficient base-to-height ratio (B/H) to derive terrain information. As the advantages of the way 2), that is possible to set suitable B/H, and can acquire images over large area. However, this will depend on weather conditions i.e. cloud covers, to success stereo image acquisition within short period as a disadvantage. 1 and 5 will be used in the basic observations. 1, 3 and 5 simulated images are shown. 6

Strip-Map Observation Mode Satellite orbit Observation area Example of nadir observation 70km x 4000km (10mins/path). The satellite can normally perform observation covering 70 km in width and 4,000 km in along-track direction as the strip-map observation mode. To increase the acquisition frequency, the images will be taken by less than 25 deg. pointing angle in cross-track direction (GSD < 1m) when the satellite track is in oceans. 7

Point Observation Mode Observation area Satellite orbit Example of point observation by pointing function. If the user has a certain ground point or an area of interest (AOI), the satellite can observe there using pointing capability within 60 deg. This mode will be used for natural disaster monitoring, for example. Example of coverage by +/- 60 deg. pointing function. 8

Observation Direction Changing Mode Satellite orbit Observation area The satellite can observe any given point by the pointing capability up to 60 deg. in all direction against the satellite nadir. In the case of Japan, it can be activated within 24 hours after receiving the request. This will be used when the large natural disaster happens e.g. the expecting Nankai Trough large earthquake. 9

Wide-Area Observation Mode Satellite orbit Observation area Example of three scans observation covered 388 x 312 km. This mode can cover in wide-ranging area of 200 km (in alongtrack direction) x 100 km (in cross-track direction) by satellite s single orbital passage. This will be also used when the large natural disaster happens. 10

Stereoscopic Observation Mode Satellite orbit Observation area Observation area Combined two strip-map in neighboring paths after three days. Single-path stereo. Two ways proposes to acquire stereo-pair image: 1) in single orbit path, and 2) combining two strip-map observations by nadir view and backward view in neighboring path after three days (sub-cycle revisit orbit). The way 1) will be however not sufficient base-to-height ratio (B/H) to derive terrain information. As the advantages of the way 2), that is possible to set suitable B/H, and can acquire images over large area. However, this will depend on weather conditions i.e. cloud covers, to success stereo image acquisition within short period as a disadvantage. 11

Simulated Image Generation The simulated images are generated as a part of pre-launch study to consider image utilizations by users in operational phase. The latest or required specifications are reflected to them as much as possible, however it is impossible to create complete simulated image. Such limitations and conditions are clarified to use them. Input data: two types of airborne images ADS 80, Leica Geosystems AG: Three-line scanner, 20-30 cm GSD Pointing simulation Strip-map and Direction Changing modes simulation Not enough GSD Area Obs. date Band Original GSD Tsukuba, Japan 2013/04/22 Pa/R, G, B, NIR 30 cm Tokyo, Japan 2013/03/16 Pa/R, G, B, NIR 20 cm DMC II, Z/I Imaging Corp.: 8 cm GSD, only nadir image Utilization of disaster monitoring and interpretation GSD in Strip-map simulation Use images captured actual natural disasters:» Landslide in Hiroshima, Japan; Flooding in Ibaraki, Japan 12

Simulated Image Generation Geometric and pointing simulation Atmospheric degradation simulation Quantization Modulation Transfer Function (MTF) Signal-to-Noise Ratio (SNR) Data compression by JPEG2000 Satellite attitude variation ADS 80 DMCⅡ Assumptions: The characteristics of input image is not affect to simulated image i.e. enough GSD, image noises and qualities. The simulated optics characteristics are based on the specifications. The onboard data compression introduces conventional JPEG 2000. Limitations: Four bands for Multi available. Observation direction is different with the satellite. Target areas are limited. The input image characteristics sometime effected to simulated image. Processing flowchart. Simulated image 13

Geometric and Pointing Simulation Geometric simulation: simulated image projection - Pointing: 0 for nadir; given angles for off-nadir in cross track - Stereo image simulation: B/H=0.5 for Backward view (BWD) WISH focal point orbit f(wish) WISH flight direction WISH simulated image projection frame (CCD plane) ADS 80 flight direction ~ Nadir ~ a Backward ~ ~ ~ ADS 80 focal point orbit ADS 80 L0 image frame (CCD coordinates) -14.1 backward view 28.4 forward view f(ads 80) DSM data H=0 WISH parallax image UTM frame projection frame Observation and transformation geometry from ADS 80 to WISH. 14

Radiometric and GSD Simulation Radiometric simulation - Atmospheric effects: Path radiance and diffuse transmission - Quantization (dynamic range): 11 bits/pixel < 16 bits/pixel of ADS 80 - Modulation Transfer Function (MTF): convolution of the corresponding Point Spread Function (PSF) model (MTF=0.1 (Pa); 0.2 (Mu) at Nyquist), which generated by the optical design software (Zemax), than resampling to simulated GSD=0.8 m (Pa); 3.2 m (Mu) MTF sys (X) = MTF opt (1.0) x MTF det (1.6) x MTF ima.flu (0.637) - Signal to Noise Ratio (SNR): > 200 at 30% of max. brightness - Data compression: 1/4 (Pa) and 1/3 (Mu) by conventional JPEG2000 1 MTF(f) 0.8 1 0.8 0.6 0.4 0.637 0.4 0.2 0.2 0 0 20 40 60 80 100 120 140 160 f Nq(WISH) f Nq(ADS 80)) PSF (MTF det =1.6) by Zemax 0 0 0.2 0.4 0.6 0.8 1 f N =0.5 15

List of Simulated Images by ADS 80 Tsukuba, Ibaraki, Japan No Contents Roll Pitch Yaw Band File name Strip-map 1 Nadir 0.0 0.0 0.0 Pa+RGB Tsukuba_Stripmap_000_000_PanSharpen.jpg 2 Stereo BWD -5.7-23.9 24.43 Pa+RGB Tsukuba_Stripmap_057_239_PanSharpen.jpg 3 AT: 750 km at center of scan (Nadir) 0.0 0.0 0.0 Pa+RGB Tsukuba_Changing_direction_000_000_PanSharpen.jpg Direction Changing 4 AT: 1,125 km point, near-side -18.9-12.8 22.34 Pa+RGB Tsukuba_Changing_direction_189_128_PanSharpen.jpg 5 AT: 1,125 km point, far side -24.9-12.8 27.33 Pa+RGB Tsukuba_Changing_direction_249_128_PanSharpen.jpg 6 AT: 1,500 km point, near-side -39.2-16.3 40.91 Pa+RGB Tsukuba_Changing_direction_392_163_PanSharpen.jpg 7 AT : 1,500 km point, far-side -45.2-16.3 46.36 Pa+RGB Tsukuba_Changing_direction_452_163_PanSharpen.jpg Shibaura, Tokyo, Japan No Contents Roll Pitch Yaw Band File name Strip-map 1 Nadir 0.0 0.0 0.0 Pa+RGB Shibaura_Stripmap_000_000_PanSharpen.jpg 2 Stereo BWD -5.7-23.9 24.43 Pa+RGB Shibaura_Stripmap_057_239_PanSharpen.jpg 3 AT: 750 km at center of scan (Nadir) 0.0 0.0 0.0 Pa+RGB Shibaura_Changing_direction_000_000_PanSharpen.jpg Direction Changing 4 AT: 1,125 km point, near-side -18.9-12.8 22.34 Pa+RGB Shibaura_Changing_direction_189_128_PanSharpen.jpg 5 AT: 1,125 km point, far-side -24.9-12.8 27.33 Pa+RGB Shibaura_Changing_direction_249_128_PanSharpen.jpg 6 AT: 1,500 km point, near-side -39.2-16.3 40.91 Pa+RGB Shibaura_Changing_direction_392_163_PanSharpen.jpg 7 AT: 1,500 km point, far-side -45.2-16.3 46.36 Pa+RGB Shibaura_Changing_direction_452_163_PanSharpen.jpg 16

Simulated Images by ADS 80 No. 1: Tsukuba, Ibaraki, Japan Strip-map, Nadir Houses, apartment Small road and cars 17

Simulated Images by ADS 80 No. 1: Tsukuba, Ibaraki, Japan Strip-map, Nadir Houses, apartment Small road and cars 18 18

Simulated Images by ADS 80 No. 5: Tsukuba, Ibaraki, Japan Direction Changing, AT: 1,125 km, far-side Houses, apartment Small road and cars Roll Pitch Yaw -24.9-12.8 27.33 19

Simulated Images by ADS 80 No. 7: Tsukuba, Ibaraki, Japan Direction Changing, AT: 1,500 km, far-side Houses, apartment Small road and cars Roll Pitch Yaw -45.2-16.3 46.36 20

List of Simulated Images by DMC II Landslide sites, Hiroshima Pref., Japan: Aug. 27-28, 2014 No Contents Roll Pitch Yaw Band File name Strip-map 1 Nadir, site A 0.0 0.0 0.0 Pa+RGB HiroshimaA_Stripmap_000_000_PanSharpen.jpg 2 Nadir, site B 0.0 0.0 0.0 Pa+RGB HiroshimaB_Stripmap_000_000_PanSharpen.jpg Flooding sites, Kinu River, Joso, Ibaraki Pref., Japan: Sep. 11, 2015 No Contents Roll Pitch Yaw Band File name Strip-map 1 Nadir, site A 0.0 0.0 0.0 Pa+RGB KinugawaA_Stripmap_000_000_PanSharpen.jpg 2 Nadir, site B 0.0 0.0 0.0 Pa+RGB KinugawaB_Stripmap_000_000_PanSharpen.jpg 21

Simulated Images by DMC II Landslide sites, Hiroshima Pref., Japan: Aug. 27-28, 2014 Strip-map, Nadir site A 22

Simulated Images by DMC II Landslide sites, Hiroshima Pref., Japan: Aug. 27-28, 2014 Strip-map, Nadir site B 23

Simulated Images by DMC II Flooding sites, Kinu River, Joso, Ibaraki Pref., Japan: Sep. 11, 2015 24

Simulated Images by DMC II Flooding sites, Kinu River, Joso, Ibaraki Pref., Japan: Sep. 11, 2015 25

Summary The simulated image generation was conducted that will be acquired by WISH onboard the Advanced Optical Satellite (ALOS-3), as a part of the design phase study. While there are some difficulties in such simulation study anytime i.e. uncertainties of specifications and characteristics for the input data, and limitation of acquisitions, it is important to obtain satisfied data and to achieve the mission objectives after the launch. We are asking to users their potential utilizations. The simulated image will be updated based on the latest design information as the pre-flight study by launching the satellite. 26