Cropping systems mapping through high resolution imagery
Real composition of crops landscape relays on secondary measurements and official statistics. Those information sources are based on surveys or technicians’ evaluations, with a probable gap between measurements and reality. In this study in Oaxaca's Mixteca region (Mexico) a high-definition satellit...
| Autores principales: | , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
CIMMYT
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179694 |
| _version_ | 1855539302665027584 |
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| author | Blasch, Gerald Zepeda, Adair Schulthess, Urs Sonder, Kai Lopez-Ridaura, Santiago |
| author_browse | Blasch, Gerald Lopez-Ridaura, Santiago Schulthess, Urs Sonder, Kai Zepeda, Adair |
| author_facet | Blasch, Gerald Zepeda, Adair Schulthess, Urs Sonder, Kai Lopez-Ridaura, Santiago |
| author_sort | Blasch, Gerald |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Real composition of crops landscape relays on secondary measurements and official statistics. Those information sources are based on surveys or technicians’ evaluations, with a probable gap between measurements and reality. In this study in Oaxaca's Mixteca region (Mexico) a high-definition satellite images were tested with a ground plot-inventory to calibrate a rando forest model for classification. |
| format | Informe técnico |
| id | CGSpace179694 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | CIMMYT |
| publisherStr | CIMMYT |
| record_format | dspace |
| spelling | CGSpace1796942026-01-13T02:15:00Z Cropping systems mapping through high resolution imagery Blasch, Gerald Zepeda, Adair Schulthess, Urs Sonder, Kai Lopez-Ridaura, Santiago satellite imagery unmanned aerial vehicles crops landscape Real composition of crops landscape relays on secondary measurements and official statistics. Those information sources are based on surveys or technicians’ evaluations, with a probable gap between measurements and reality. In this study in Oaxaca's Mixteca region (Mexico) a high-definition satellite images were tested with a ground plot-inventory to calibrate a rando forest model for classification. 2025-12 2026-01-12T15:23:57Z 2026-01-12T15:23:57Z Report https://hdl.handle.net/10568/179694 en Open Access application/pdf CIMMYT CGIAR Blasch, G., Zepeda, E. A., Schulthess, U., Sonder, K., & Lopez-Ridaura, S. (2025). Cropping systems mapping through high resolution imagery. CIMMYT, & CGIAR. https://hdl.handle.net/10883/36693 |
| spellingShingle | satellite imagery unmanned aerial vehicles crops landscape Blasch, Gerald Zepeda, Adair Schulthess, Urs Sonder, Kai Lopez-Ridaura, Santiago Cropping systems mapping through high resolution imagery |
| title | Cropping systems mapping through high resolution imagery |
| title_full | Cropping systems mapping through high resolution imagery |
| title_fullStr | Cropping systems mapping through high resolution imagery |
| title_full_unstemmed | Cropping systems mapping through high resolution imagery |
| title_short | Cropping systems mapping through high resolution imagery |
| title_sort | cropping systems mapping through high resolution imagery |
| topic | satellite imagery unmanned aerial vehicles crops landscape |
| url | https://hdl.handle.net/10568/179694 |
| work_keys_str_mv | AT blaschgerald croppingsystemsmappingthroughhighresolutionimagery AT zepedaadair croppingsystemsmappingthroughhighresolutionimagery AT schulthessurs croppingsystemsmappingthroughhighresolutionimagery AT sonderkai croppingsystemsmappingthroughhighresolutionimagery AT lopezridaurasantiago croppingsystemsmappingthroughhighresolutionimagery |