ECOSat (Estimation of carbon offsets with satellites) - Final report
This study aimed to assess whether radar (Sentinel-1) and optical (Sentinel-2) satellite data could detect residue management practices and differentiate between conventional, minimal, and no tillage fields in Guanajuato, Mexico. The study used in-situ data collected by the CIMMYT-led MasAgro Guanaj...
| Autores principales: | , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/173025 |
| _version_ | 1855526533611913216 |
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| author | Schulthess, Urs Fonteyne, Simon Gardeazabal Monsalve, Andrea |
| author_browse | Fonteyne, Simon Gardeazabal Monsalve, Andrea Schulthess, Urs |
| author_facet | Schulthess, Urs Fonteyne, Simon Gardeazabal Monsalve, Andrea |
| author_sort | Schulthess, Urs |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study aimed to assess whether radar (Sentinel-1) and optical (Sentinel-2) satellite data could detect residue management practices and differentiate between conventional, minimal, and no tillage fields in Guanajuato, Mexico. The study used in-situ data collected by the CIMMYT-led MasAgro Guanajuato project, which tracks land preparation and crop management. Various tillage and residue indices were tested, including NDSVI, NDTI, and NDI5, based on Sentinel-2 bands. The conclusion suggests that most successful remote sensing applications for tillage detection and residue management rely on survey data. These data can then be used to train machine learning based algorithms. |
| format | Artículo preliminar |
| id | CGSpace173025 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1730252025-05-04T09:21:45Z ECOSat (Estimation of carbon offsets with satellites) - Final report Schulthess, Urs Fonteyne, Simon Gardeazabal Monsalve, Andrea remote sensing crop residue management conservation agriculture tillage This study aimed to assess whether radar (Sentinel-1) and optical (Sentinel-2) satellite data could detect residue management practices and differentiate between conventional, minimal, and no tillage fields in Guanajuato, Mexico. The study used in-situ data collected by the CIMMYT-led MasAgro Guanajuato project, which tracks land preparation and crop management. Various tillage and residue indices were tested, including NDSVI, NDTI, and NDI5, based on Sentinel-2 bands. The conclusion suggests that most successful remote sensing applications for tillage detection and residue management rely on survey data. These data can then be used to train machine learning based algorithms. 2024-12 2025-02-13T14:39:12Z 2025-02-13T14:39:12Z Working Paper https://hdl.handle.net/10568/173025 en Open Access application/pdf International Food Policy Research Institute Schulthess, U., Fonteyne, S., & Gardeazabal Monsalve, A. (2024). ECOSat (Estimation of carbon offsets with satellites) - Final report. IFPRI. https://hdl.handle.net/10883/35520 |
| spellingShingle | remote sensing crop residue management conservation agriculture tillage Schulthess, Urs Fonteyne, Simon Gardeazabal Monsalve, Andrea ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title | ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title_full | ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title_fullStr | ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title_full_unstemmed | ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title_short | ECOSat (Estimation of carbon offsets with satellites) - Final report |
| title_sort | ecosat estimation of carbon offsets with satellites final report |
| topic | remote sensing crop residue management conservation agriculture tillage |
| url | https://hdl.handle.net/10568/173025 |
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