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User Manual. Training Manual Terra-i.

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Title User Manual. Training Manual Terra-i.
 
Creator Reymondin, Louis
Paz-García, Paula
Tello, Jhon Jairo
Coca-Castro, Alejandro
Bautista, Oscar
Menzinger, Bernadette
 
Subject SOFTWARE DEVELOPMENT
TOOLS
INPUTS
DATA
INFORMATION SYSTEMS
ANALYSIS
EQUIPMENT
JAVA
REMOTE SENSING
GEOGRAPHICAL INFORMATION SYSTEMS
BIG DATA
 
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.
 
Date 2019-07-19T12:59:25Z
2019-07-19T12:59:25Z
2019
 
Type Book
Manual
 
Identifier 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.
https://hdl.handle.net/10568/102219
 
Language en
 
Relation CIAT Publication;No.477
 
Rights CC-BY-NC-4.0
 
Format 114 p.
 
Publisher International Center for Tropical Agriculture (CIAT)