Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China
The method was tested in Heilongjiang Province, China and generated high-quality crop fraction maps. It can be extended to other crop types and other coarse resolution images.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122105 |
| _version_ | 1855516908231589888 |
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| author | CGIAR Research Program on Policies, Institutions, and Markets |
| author_browse | CGIAR Research Program on Policies, Institutions, and Markets |
| author_facet | CGIAR Research Program on Policies, Institutions, and Markets |
| author_sort | CGIAR Research Program on Policies, Institutions, and Markets |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The method was tested in Heilongjiang Province, China and generated high-quality crop fraction maps. It can be extended to other crop types and other coarse resolution images. |
| format | Informe técnico |
| id | CGSpace122105 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | CGSpace1221052023-03-14T11:44:56Z Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China CGIAR Research Program on Policies, Institutions, and Markets development rural development quality maps systems statistics agrifood systems moderate resolution imaging spectroradiometer application scale modis accuracy agricultural statistics The method was tested in Heilongjiang Province, China and generated high-quality crop fraction maps. It can be extended to other crop types and other coarse resolution images. 2021-12-31 2022-10-06T13:53:51Z 2022-10-06T13:53:51Z Report https://hdl.handle.net/10568/122105 en Open Access application/pdf CGIAR Research Program on Policies, Institutions, and Markets. 2021. Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China. Reported in Policies, Institutions, and Markets Annual Report 2021. Innovations. |
| spellingShingle | development rural development quality maps systems statistics agrifood systems moderate resolution imaging spectroradiometer application scale modis accuracy agricultural statistics CGIAR Research Program on Policies, Institutions, and Markets Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title | Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title_full | Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title_fullStr | Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title_full_unstemmed | Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title_short | Method to generate high-accuracy high-resolution large-scale crop type maps through integrating agricultural statistics and Moderate Resolution Imaging Spectroradiometer (MODIS) images, with application to China |
| title_sort | method to generate high accuracy high resolution large scale crop type maps through integrating agricultural statistics and moderate resolution imaging spectroradiometer modis images with application to china |
| topic | development rural development quality maps systems statistics agrifood systems moderate resolution imaging spectroradiometer application scale modis accuracy agricultural statistics |
| url | https://hdl.handle.net/10568/122105 |
| work_keys_str_mv | AT cgiarresearchprogramonpoliciesinstitutionsandmarkets methodtogeneratehighaccuracyhighresolutionlargescalecroptypemapsthroughintegratingagriculturalstatisticsandmoderateresolutionimagingspectroradiometermodisimageswithapplicationtochina |