Olivier Cavalie - Surface Displacement Measurement from Remote Sensing Images

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Surface Displacement Measurement from Remote Sensing Images: краткое содержание, описание и аннотация

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Drastic improvements in both access to satellite images and data processing tools today allow near real-time observation of Earth surface deformations. Remote sensing imagery is thus a powerful, reliable and spatially dense source of information that can be used to understand the Earth and its surface manifestations as well as mitigate natural hazards.<br /><br />This book offers for the first time a complete overview of the methodological approaches developed to measure surface displacement using synthetic aperture radar (SAR) and optical imagery, as well as their applications in the monitoring of major geophysical phenomena. More specifically, the first part of the book presents the theory behind SAR interferometry (InSAR) and image correlation and its latest developments. In the second part, most of the geophysical phenomena that trigger Earth surface deformations are reviewed.<br /><br /><i>Surface Displacement Measurement from </i><i>Remote Sensing Images</i> unveils the potential and sensitivity of the measurement of Earth surface displacements from remote sensing imagery.

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– Formosat-2: This satellite has a daily revisit for event/disaster monitoring, thanks to a body-pointing capability of ±45° in roll and pitch.

1.4.2. On-going optical missions

This section presents optical satellites that are still operational and whose data may be used for DEM extraction and ground motion displacement measurement. Their spatial resolution is below 15 m. The list is not exhaustive. The key parameters of the missions are summarized in Tables 1.8and 1.9, and the main characteristics of the instrument are listed in Tables 1.10and 1.11. Some figures are different depending on the web sources and may differ from the real ones in some cases. Swath width and dynamic ranges are given for the highest resolution (mainly panchromatic bands).

During the last 15 years, the main drivers were increases in the spatial resolution and the revisit time. This is conducive to the conception of constellations of agile satellites (simpler, if possible, and smaller). It is possible to observe several evolution patterns for optical satellite missions:

– agility is often the reference: it simplifies the instrument and reduces use of steering mirrors;

– operators reduce the satellite altitude in order to find a compromise between smaller aperture and better spatial resolution. Examples: Cartosat-2C and Cartosat-3A;

– a large aperture is chosen to optimize the resolution. Examples: WorldView-3 and Gaofen-8;

– satellite constellations are increasingly proposed: this decreases the weight of the satellite, the payload and platform complexity and the satellite unitary cost, while increasing the number of satellites (constellation) and improving the revisit time. Constellations of high-resolution satellites are used to retrieve change detection information, geo-statistics, etc. Examples: SkySat, SuperView and RapidEye;

– usually, a focal plane is composed of several time delay integration (TDI) image sensors, mounted in staggered configuration. CCD sensors are used where ultralow noise is preferred. However, CMOS detectors with low power, high frame rate and low cost are also used. The use of matrix detectors (CCD or CMOS) adds video mode functions into the satellites. Examples: Zhuhai and BlackSky constellations.

In the following, some missions with a specific interest for DEM computation or displacement measurement are presented:

– Asnaro: The overall aim of this project is to develop a new generation of mini-satellite buses with high-performance characteristics. It is based on open-architecture techniques and manufacturing methodologies to reduce the cost and development period.

– Carbonite-2: This satellite is a technology demonstration of low-cost video-from-orbit with commercial off-the-shelf (COTS) technologies. At only 100 kg, it delivers 1 m ground sample distance (GSD) images. The swath width is very limited.

Table 1.8. Mission characteristics and parameters (1/2)

Satellite Nation No. of satellites Altitude (km) Local time Period of orbit (min) Inclination (deg) Weight (kg)
Alos Japan 1 692 10:30 - 98.2 4,000
Alsat-1B Algeria 1 700 10:30 98.5 98 103
Alsat-2A/2B Algeria 2 637 10:30 - - 130
Asnaro Japan 1 504 11:00 - 97.42 495
BKA (Belka-2) Belarus 1 505 - - 97.49 473
BlackSky constellation USA 20 500 10:30 - 53 56
Carbonite-2 UK 1 505 10:30 94.6 97.5 100
Cartosat-1 (IRS-P5) India 1 618 10:15 - 97.87 680
Cartosat-2A/2B India 2 635 9:32 75 90 690
Cartosat-2C–2F India 4 505 9:30 94.72 97.4 727
Cartosat-3/3A/3B India 1 505 9:30 - 97.5 1,625
CBERS-4/4A China–Brazil 2 779 10:30 100.32 98.54 1,980
CESAT-1 Japan 1 500 - - 97.45 50
Deimos-1 Spain 1 686 10:30 - - 91
Deimos-2 Spain 1 600 10:30 - 97.9 310
Dove PlanetScope USA 55 420 9:30–11:30 - 51.6 -
Dove PlanetScope 2 (PS2) USA 100–150 475 9:30–11:30 - 98 -
DubaiSat-1 UAE 1 685 10:30 98.2 98.13 200
DubaiSat-2 UAE 1 600 10:30 - 97.1 300
DubaiSat-3 (KhalifaSat) UAE 1 613 10:30 - - 330
Eros B Israel 1 520 14:00 94.79 97.45 350
Eros C Israel 1 510 - - - 400
Gaofen-1 China 1 635 10:30 - 98.36 1,080
Gaofen-2 China 1 608 10:30 98.02 - 2,100
Gaofen-6 China 1 634 11:00 - 98.05 1,080
Gaofen-7 China 1 502 - - - 2,400
GeoEye-1 USA 1 770 10:30 98 - 1,955
Jilin-1/7/8 China 3 658 10:30 - - 450
Kanopus-V-IK Russia 1 510 10:30 - - 473
Kanopus-V1–V6 Russia 5 510 10:30 - - 450
KazeoSat 1 Kazakhstan 1 759 10:15 100 98.54 830
KazeoSat 2 Kazakhstan 1 630 10:30 - - 185
Kompsat-2 South Korea 1 685 10:50 - - 800
Kompsat-3 South Korea 1 685 10:50 - 98.14 980
Kompsat-3A South Korea 1 528 10:50 - 97.5 1,100

Table 1.9. Mission characteristics and parameters (2/2)

Satellite Nation No. of satellites Altitude (km) Local time Period of orbit (min) Inclination (deg) Weight (kg)
Landsat 8 USA 1 705 10:00 98.8 98.22 2,780
Nemo-HD Slovenia–Canada 1 500 - - - 70
Pléiades-1A France 1 695 10:30 - - 980
Pléiades-1B France 1 695 10:30 - - 980
Prisma Italy 1 614 10:30 99 98.19 830
RapideEye Germany– USA 5 630 11:00 - - 156
ResourceSat-2 Resurs-P India 1 817 10:20 - - 1,206
1, 2, 3/GEOTON Resurs-P Russia 3 473 10:30 - - 6,570
1, 2, Russia 3 473 10:30 - - 6,570
3/SHMSA-VR Sentinel-2-A/B Europe (ESA) 2 786 10:30 - 98.5 1,200
SkySat-1 USA 1 450 13:00 - - 110
SkySat-2-21 USA 6 450 10:30–13:00 - - 110
SPOT-6 France 1 694 10:30 98.8 98.2 712
SPOT-7 France–Azerbaijan 1 694 10:30 98.8 98.2 712
SuperView-1–4 China 4 530 10:30 97 - 560
TeLEOS-1 Singapore 1 550 - - 15 400
TH-1 China 3 500 13:30 - 97.35 1,000
TripleSat/DMC3/SSTL-S1-2-3 UK–China 3 651 10:30 97.7 - 350
TripleSat/DMC3/SSTL-S4 UK–China 1 636 10:30 97.7 - 458
UK-DMC2 UK 1 665 10:00 97.9 97.8 120
Vision-01 UK 1 583 10:30 96.2 97.5 -
VRSS-1 Venezuela 1 635 10:30 97.48 97.7 880
VRSS-2 Venezuela 1 645 10:30 97.6 98.05 1,000
WorldView-1 USA 1 496 13:30 94.6 97.5 2,500
WorldView-2 USA 1 770 10:30 100 98.58 2,800
WorldView-3 USA 1 617 10:30 97 98 2,800
WorldView-4 USA 1 617 10:30 97 97.97 2,485
Zhuhai-1 OHS-2A-2D/3A-3D China 8 500 10:15 - 97.3 50
Zhuhai-1 OVS-1A/1B/2 China 3 500 10:15 - 97.3 50–90
Ziyuan-3/ZY-3 01-03 China 3 506 10:30 94.7 97.4 2,630

Table 1.10. Instrument characteristics (1/2)

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