Terra-i: an eye on habitat change
Terra-i detects land-cover changes resulting from human activities in near real-time, producing updates every 16 days. It currently runs for the whole of Latin America and is being expanded over the next year to cover the entire tropics. Terra-i is a collaboration between the International Center fo...
| Autores principales: | , , , , |
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| Formato: | Website |
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2012
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| Acceso en línea: | https://hdl.handle.net/10568/43735 |
| _version_ | 1855542488915247104 |
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| author | International Center for Tropical Agriculture Nature Conservancy Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud University of London CGIAR Research Program on Forests, Trees and Agroforestry |
| author_browse | CGIAR Research Program on Forests, Trees and Agroforestry Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud International Center for Tropical Agriculture Nature Conservancy University of London |
| author_facet | International Center for Tropical Agriculture Nature Conservancy Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud University of London CGIAR Research Program on Forests, Trees and Agroforestry |
| author_sort | International Center for Tropical Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Terra-i detects land-cover changes resulting from human activities in near real-time, producing updates every 16 days. It currently runs for the whole of Latin America and is being expanded over the next year to cover the entire tropics. Terra-i is a collaboration between the International Center for Tropical Agriculture (CIAT - DAPA, based in Colombia), The program on Forestry, Trees and Agroforestry (FTA) ,The Nature Conservancy (TNC, global environmental organization), the School of Business and Engineering (HEIG-VD, based in Switzerland) and King’s College London (KCL, based in the UK). The system is based on the premise that natural vegetation follows a predictable pattern of changes in greenness from one date to the next brought about by site-specific land and climatic conditions over the same period. A so-called computational neural network is ‘trained’ to understand the normal pattern of changes in vegetation greenness in relation to terrain and rainfall for a site and then marks areas as changed where the greenness suddenly changes well beyond these normal limits. Running on many computers this analysis is refreshed with new imagery every 16 days and for every 250m square of land. |
| format | Website |
| id | CGSpace43735 |
| institution | CGIAR Consortium |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| record_format | dspace |
| spelling | CGSpace437352024-09-30T11:33:30Z Terra-i: an eye on habitat change International Center for Tropical Agriculture Nature Conservancy Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud University of London CGIAR Research Program on Forests, Trees and Agroforestry climate change cambio climatico degraded forest land tierras forestales degradadas land resources recursos de la tierra Terra-i detects land-cover changes resulting from human activities in near real-time, producing updates every 16 days. It currently runs for the whole of Latin America and is being expanded over the next year to cover the entire tropics. Terra-i is a collaboration between the International Center for Tropical Agriculture (CIAT - DAPA, based in Colombia), The program on Forestry, Trees and Agroforestry (FTA) ,The Nature Conservancy (TNC, global environmental organization), the School of Business and Engineering (HEIG-VD, based in Switzerland) and King’s College London (KCL, based in the UK). The system is based on the premise that natural vegetation follows a predictable pattern of changes in greenness from one date to the next brought about by site-specific land and climatic conditions over the same period. A so-called computational neural network is ‘trained’ to understand the normal pattern of changes in vegetation greenness in relation to terrain and rainfall for a site and then marks areas as changed where the greenness suddenly changes well beyond these normal limits. Running on many computers this analysis is refreshed with new imagery every 16 days and for every 250m square of land. 2012 2014-09-25T14:08:55Z 2014-09-25T14:08:55Z Website https://hdl.handle.net/10568/43735 Open Access CIAT, CGIAR Research Program on Forestry, Trees and Agroforestry; The Nature Conservancy; HEIG-VD; King’s College London. 2012. Terra-i: an eye on habitat change. (Available from http://www.terra-i.org/terra-i.html). |
| spellingShingle | climate change cambio climatico degraded forest land tierras forestales degradadas land resources recursos de la tierra International Center for Tropical Agriculture Nature Conservancy Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud University of London CGIAR Research Program on Forests, Trees and Agroforestry Terra-i: an eye on habitat change |
| title | Terra-i: an eye on habitat change |
| title_full | Terra-i: an eye on habitat change |
| title_fullStr | Terra-i: an eye on habitat change |
| title_full_unstemmed | Terra-i: an eye on habitat change |
| title_short | Terra-i: an eye on habitat change |
| title_sort | terra i an eye on habitat change |
| topic | climate change cambio climatico degraded forest land tierras forestales degradadas land resources recursos de la tierra |
| url | https://hdl.handle.net/10568/43735 |
| work_keys_str_mv | AT internationalcenterfortropicalagriculture terraianeyeonhabitatchange AT natureconservancy terraianeyeonhabitatchange AT hauteecoledingenierieetdegestionducantondevaud terraianeyeonhabitatchange AT universityoflondon terraianeyeonhabitatchange AT cgiarresearchprogramonforeststreesandagroforestry terraianeyeonhabitatchange |