Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data
Preprocessing Synthetic Aperture Radar (SAR) data is a crucial initial stage in leveraging SAR data for remote sensing applications. Terrain correction, both radiometric and geometric, and the detection of layover/shadow areas hold significant importance when SAR data are collected over mountainous...
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MDPI AG
2024-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/22/4309 |
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| author | Michele Dalponte Daniele Marinelli Yady Tatiana Solano-Correa |
| author_facet | Michele Dalponte Daniele Marinelli Yady Tatiana Solano-Correa |
| author_sort | Michele Dalponte |
| collection | DOAJ |
| description | Preprocessing Synthetic Aperture Radar (SAR) data is a crucial initial stage in leveraging SAR data for remote sensing applications. Terrain correction, both radiometric and geometric, and the detection of layover/shadow areas hold significant importance when SAR data are collected over mountainous regions. This study aims at investigating the impact of the Digital Elevation Model (DEM) used for terrain correction (radiometric and geometric) and for mapping layover/shadow areas on windthrow detection using COSMO SkyMed SAR images. The terrain correction was done using a radiometric and geometric terrain correction algorithm. Specifically, we evaluated five different DEMs: (i–ii) a digital terrain model and a digital surface model derived from airborne LiDAR flights; (iii) the ALOS Global Digital Surface Model; (iv) the Copernicus global DEM; and (v) the Shuttle Radar Topography Mission (SRTM) DEM. All five DEMs were resampled at 2 m and 30 m pixel spacing, obtaining a total of 10 DEMs. The terrain-corrected COSMO SkyMed SAR images were employed for windthrow detection in a forested area in the north of Italy. The findings revealed significant variations in windthrow detection across the ten corrections. The detailed LiDAR-derived terrain model (i.e., DTM at 2 m pixel spacing) emerged as the optimal choice for both pixel spacings considered. |
| format | Article |
| id | doaj-art-dbae1ee7012c4625b7f535100a2ed39d |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-dbae1ee7012c4625b7f535100a2ed39d2024-11-26T18:20:22ZengMDPI AGRemote Sensing2072-42922024-11-011622430910.3390/rs16224309Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed DataMichele Dalponte0Daniele Marinelli1Yady Tatiana Solano-Correa2Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach, 38098 San Michele all’Adige, ItalyResearch and Innovation Centre, Fondazione Edmund Mach, Via E. Mach, 38098 San Michele all’Adige, ItalyFaculty of Engineering and Sciences, Pontificia Universidad Javeriana, Calle 18 #118–250, Cali 760031, ColombiaPreprocessing Synthetic Aperture Radar (SAR) data is a crucial initial stage in leveraging SAR data for remote sensing applications. Terrain correction, both radiometric and geometric, and the detection of layover/shadow areas hold significant importance when SAR data are collected over mountainous regions. This study aims at investigating the impact of the Digital Elevation Model (DEM) used for terrain correction (radiometric and geometric) and for mapping layover/shadow areas on windthrow detection using COSMO SkyMed SAR images. The terrain correction was done using a radiometric and geometric terrain correction algorithm. Specifically, we evaluated five different DEMs: (i–ii) a digital terrain model and a digital surface model derived from airborne LiDAR flights; (iii) the ALOS Global Digital Surface Model; (iv) the Copernicus global DEM; and (v) the Shuttle Radar Topography Mission (SRTM) DEM. All five DEMs were resampled at 2 m and 30 m pixel spacing, obtaining a total of 10 DEMs. The terrain-corrected COSMO SkyMed SAR images were employed for windthrow detection in a forested area in the north of Italy. The findings revealed significant variations in windthrow detection across the ten corrections. The detailed LiDAR-derived terrain model (i.e., DTM at 2 m pixel spacing) emerged as the optimal choice for both pixel spacings considered.https://www.mdpi.com/2072-4292/16/22/4309SARwindthrow detectionpreprocessingdigital elevation modeldigital surface modelCOSMO SkyMed |
| spellingShingle | Michele Dalponte Daniele Marinelli Yady Tatiana Solano-Correa Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data Remote Sensing SAR windthrow detection preprocessing digital elevation model digital surface model COSMO SkyMed |
| title | Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data |
| title_full | Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data |
| title_fullStr | Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data |
| title_full_unstemmed | Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data |
| title_short | Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data |
| title_sort | effect of dem used for terrain correction on forest windthrow detection using cosmo skymed data |
| topic | SAR windthrow detection preprocessing digital elevation model digital surface model COSMO SkyMed |
| url | https://www.mdpi.com/2072-4292/16/22/4309 |
| work_keys_str_mv | AT micheledalponte effectofdemusedforterraincorrectiononforestwindthrowdetectionusingcosmoskymeddata AT danielemarinelli effectofdemusedforterraincorrectiononforestwindthrowdetectionusingcosmoskymeddata AT yadytatianasolanocorrea effectofdemusedforterraincorrectiononforestwindthrowdetectionusingcosmoskymeddata |