EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA
Satellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the pur...
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| Format: | Article |
| Language: | English |
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Editora da Universidade Federal de Uberlândia
2005-05-01
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| Series: | Sociedade & Natureza |
| Online Access: | http://www.sociedadenatureza.ig.ufu.br/include/getdoc.php?id=1458&article=748&mode=pdf |
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| author | Anton Vrieling Silvio C. Rodrigues C. Rodrigues(2) Geert Sterk |
| author_facet | Anton Vrieling Silvio C. Rodrigues C. Rodrigues(2) Geert Sterk |
| author_sort | Anton Vrieling |
| collection | DOAJ |
| description | Satellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical TerraASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracyof the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion. |
| format | Article |
| id | doaj-art-bb5cfddd7d0a4ac6b09063884280a37d |
| institution | OA Journals |
| issn | 0103-1570 1982-4513 |
| language | English |
| publishDate | 2005-05-01 |
| publisher | Editora da Universidade Federal de Uberlândia |
| record_format | Article |
| series | Sociedade & Natureza |
| spelling | doaj-art-bb5cfddd7d0a4ac6b09063884280a37d2025-08-20T01:55:57ZengEditora da Universidade Federal de UberlândiaSociedade & Natureza0103-15701982-45132005-05-01Especial1683696EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIAAnton VrielingSilvio C. RodriguesC. Rodrigues(2) Geert SterkSatellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical TerraASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracyof the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion.http://www.sociedadenatureza.ig.ufu.br/include/getdoc.php?id=1458&article=748&mode=pdf |
| spellingShingle | Anton Vrieling Silvio C. Rodrigues C. Rodrigues(2) Geert Sterk EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA Sociedade & Natureza |
| title | EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA |
| title_full | EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA |
| title_fullStr | EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA |
| title_full_unstemmed | EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA |
| title_short | EVALUATING EROSION FROM SPACE: A CASE STUDY NEAR UBERLÂNDIA |
| title_sort | evaluating erosion from space a case study near uberlandia |
| url | http://www.sociedadenatureza.ig.ufu.br/include/getdoc.php?id=1458&article=748&mode=pdf |
| work_keys_str_mv | AT antonvrieling evaluatingerosionfromspaceacasestudynearuberlandia AT silviocrodrigues evaluatingerosionfromspaceacasestudynearuberlandia AT crodrigues2geertsterk evaluatingerosionfromspaceacasestudynearuberlandia |