Terra-i Remote Sensing System

Description: 
Terra-i Remote Sensing System is a project by CIAT’s Decision and Policy Analysis (DAPA) and Agroecosystems and Sustainable Landscapes (ASL) research areas. The aim of the monitoring system is to detect as early as possible any changes in the landscape, such as deforestation. It does not aim to measure the forest loss in terms of area due to the limitations of the satellite sensor. The system uses remote sensing and advanced machine-learning techniques to detect changes. It is based on the premise that natural vegetation follows a predictable pattern of changes in greenness over time. These changes are based on site-specific characteristics and the climatic conditions of preceding days.
Originator: 
CIAT’s Decision and Policy Analysis (DAPA) and Agroecosystems and Sustainable Landscapes (ASL) research areas
Is this an existing or new approach to measuring landscape change?: 
New
Aspect of landscape: 
Geographical unit: 
Whole landscape
Frequency of measure: 
Continuous
Indicator: 
Changes to specific pixels
Barriers: 
Does not measure the any loss of biodiversity in terms of area due to the limitations of the satellite sensor, just early changes.
Resource requirements: 
It has been designed to be used with limited financial resources and hardware.
Any other comments: 
http://www.terra-i.org/terra-i.html
Data source: 
system predicts how green a pixel should be, given a unit of rainfall, and compares that specific pixel with satellite images.
Submitted by: 
Laura Partington

Add new comment