Potential and Limitation of SPOT-5 Ortho-Image Correlation to Investigate the Cinematics of Landslides: The Example of “Mare à Poule d’Eau” (Réunion, France)

Abstract

Over the last 10 years, the accessibility of high spatial resolution remote sensing images has strongly increased. These images are available in ortho-rectified format which do not necessitate any further geometrical processing to be analyzed. In parallel, image correlation software has become more efficient and friendly. In this paper, image correlation methods are tested to evaluate their potential and limitations to measure the surface displacements in a complex case of a landslide located in a tropical environment. This studied landslide, called "Mare à Poule d'Eau", is located in the Salazie erosion watershed in Réunion Island (France). This landslide is monitored daily by a DGPS station which registers the south-north displacements. Two pairs of ortho-rectified SPOT-5 images at 2. The displacement can be estimated by applying a correction factor extracted from the ICP located in the stable areas. The potential and limits of the image correlation in such complex environments is discussed. A strategy is proposed to evaluate the quality of the results and to extract the displacement signal from the shift measurements.

Remote Sensing of Landslides—A Review

“…Optical sensors involved in this special issue include long time-series of Landsat TM/ETM, SPOT 1-5, ASTER, IRS-1C LISS III, and RapidEye between 1986 and 2016 [10], ZY-3 satellite high spatial resolution satellite images [11], and GF-1 [12]. In addition, an image correlation algorithm was applied to SPOT-5 images to investigate the landslide cinematics [13].…”

“…As for the large deformation field (~meters in magnitude), two image correlator software packages (MicMac and Cosi-Corr) were applied to high spatial resolution ortho-rectified SPOT-5 images, where image control points were selected by the scale invariant feature transform method [13]. Moreover, if the mass moved away or so-called erosion occurred, differential DEM technique based on TanDEM-X data could be used geomorphological changes in the catchment region [6].…”

Geo-Hazard Detection and Monitoring Using SAR and Optical Images in a Snow-Covered Area: The Menyuan (China) Test Site

“…The dashed white rectangle outlines the burst for interferometric processing. resolution [7,8], while the disadvantage is its inability to work during the night as it is affected by the weather. Synthetic aperture radar (SAR) has the ability to monitor deformation in all weather and with all illumination conditions.…”

“…This technique is very useful and efficient in the field of geo-hazard recognition, monitoring, and forecasting. The advantage of optical remote sensing techniques for geo-hazard monitoring is obviously its visual representation with high resolution [7,8], while the disadvantage is its inability to work during the night as it is affected by the weather. Synthetic aperture radar (SAR) has the ability to monitor deformation in all weather and with all illumination conditions.…”

Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy)

“…The launches of new generations of optical (e.g., Geoeye-1, WorldView-2, Pleiades 1A and 1B, SPOT5, 6 and 7, Formosat-2 and Kompsat-2, Sentinel-2) and radar (e.g., TerraSAR-X, COSMO-SkyMed, Sentinel-1) satellites with short repeat-pass cycles and high spatial resolutions resulted in better capabilities to acquire data over wide areas shortly after major landslide triggering events [25][26][27][28] and to monitor them at regular intervals [29,30]. In particular, radar interferometry is today frequently applied to landslide detection and monitoring of ground-deformations and landslide processes [31][32][33][34][35][36][37][38].…”