User Manual. Training Manual Terra-i.
The user manual describes the installation process of the Terra-i system as well as the necessary tools for its functioning. Input data acquisition procedures used by Terra-i are also described. Finally, it shows the insights, methods and formats involved in each step of the pre-processing stage....
| Autores principales: | , , , , , |
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Tropical Agriculture
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/102219 |
| _version_ | 1855542367515312128 |
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| author | Reymondin, Louis Paz-García, Paula Tello Dagua, Jhon Jairo Coca-Castro, Alejandro Bautista, Oscar Menzinger, Bernadette |
| author_browse | Bautista, Oscar Coca-Castro, Alejandro Menzinger, Bernadette Paz-García, Paula Reymondin, Louis Tello Dagua, Jhon Jairo |
| author_facet | Reymondin, Louis Paz-García, Paula Tello Dagua, Jhon Jairo Coca-Castro, Alejandro Bautista, Oscar Menzinger, Bernadette |
| author_sort | Reymondin, Louis |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The user manual describes the installation process of the Terra-i system as well as the necessary tools for its functioning. Input data acquisition procedures used by Terra-i are also described. Finally, it shows the insights, methods and formats involved in each step of the pre-processing stage.
Description:
Terra-i is a tool that detects vegetal land cover changes product of human activities in near real time. It has the capability to produce data every 16 days. Nowadays, Terra-i is fully functional pan-tropically (Latin America, Caribbean, Asia and Oceania). The system is based on the premise that, from one date to the next, natural vegetation follows a predictable pattern of changes in greenness brought by site-specific land and climatic conditions over the same period. A 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 | Libro |
| id | CGSpace102219 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1022192025-11-05T17:43:23Z User Manual. Training Manual Terra-i. Reymondin, Louis Paz-García, Paula Tello Dagua, Jhon Jairo Coca-Castro, Alejandro Bautista, Oscar Menzinger, Bernadette software development tools inputs data information systems analysis equipment java remote sensing geographical information systems big data The user manual describes the installation process of the Terra-i system as well as the necessary tools for its functioning. Input data acquisition procedures used by Terra-i are also described. Finally, it shows the insights, methods and formats involved in each step of the pre-processing stage. Description: Terra-i is a tool that detects vegetal land cover changes product of human activities in near real time. It has the capability to produce data every 16 days. Nowadays, Terra-i is fully functional pan-tropically (Latin America, Caribbean, Asia and Oceania). The system is based on the premise that, from one date to the next, natural vegetation follows a predictable pattern of changes in greenness brought by site-specific land and climatic conditions over the same period. A 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. 2019 2019-07-19T12:59:25Z 2019-07-19T12:59:25Z Book Manual https://hdl.handle.net/10568/102219 en Open Access application/pdf International Center for Tropical Agriculture Reymondin, L; Paz-García, P; Tello, J.J; Coca-Castro, A; Bautista, O; Menzinger, B. (2019). User Manual. Training Manual Terra-i. Version 2. CIAT Publication No. 477. International Center for Tropical Agriculture (CIAT), Cali, Colombia. 114 p. |
| spellingShingle | software development tools inputs data information systems analysis equipment java remote sensing geographical information systems big data Reymondin, Louis Paz-García, Paula Tello Dagua, Jhon Jairo Coca-Castro, Alejandro Bautista, Oscar Menzinger, Bernadette User Manual. Training Manual Terra-i. |
| title | User Manual. Training Manual Terra-i. |
| title_full | User Manual. Training Manual Terra-i. |
| title_fullStr | User Manual. Training Manual Terra-i. |
| title_full_unstemmed | User Manual. Training Manual Terra-i. |
| title_short | User Manual. Training Manual Terra-i. |
| title_sort | user manual training manual terra i |
| topic | software development tools inputs data information systems analysis equipment java remote sensing geographical information systems big data |
| url | https://hdl.handle.net/10568/102219 |
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