Check the data section, we have new data available for download. Terra-i generates maps of habitat changes every 16 days for each MODIS tile in Latin America from 2004 to the current date.
Check our download section, you'll find all our new data fresh out of the oven. The data will be updated every 3 months with a delay of 15 days with the MODIS satellite, in order to fulfill the purpose of being an early warning system that allows environmental authorities to make decisions on time and set priorities for conservation.
The data are available in compressed ascii grids. You can download a grid for each individual 16 days period or in an annually cumulated manner (from January 1 to December 31). Latin America has been split into different tiles with the same extent and ID than the MODIS tiles. Terra-i spatial resolution is the same than the NDVI (Normalized Difference Vegetation Index) vegetation index from the MODIS product MOD13Q1 and is about 250m.
The portal has two systems which allow to access the data of habitat loss. One is the MapViewer where you can view the results of Terra-i for Latin America between 2004 and the current date in an ArcGIS Server application. On the other hand, you can download the data by going to the download section. To access both platforms, you have to be logged in the portal. You can create an account by filling the registration form.
Near real-time vegetation loss detection in Southwestern Ethiopia: calibration, validation, and implementation of the Terra-i system
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) (the Alliance) conducted a training for local stakeholders on the use of Terra-i as part of the collaboration with the Netherlands Development Organisation – SNV in the Coffee Agroforestry and Forest Enhancement for REDD+ (CAFÉ-REDD) Project.
From May 8-12, 2017, the Terra-i team, together with staff from the DGOTA of Peru's Ministry of Environment, carried out the first field validation of vegetative land cover changes detected during Terra-i monitoring for 2016 and 2017, using the technology UAV. This work was carried out under the framework of the project “Sustainable Amazonian Landscapes”. The team carried out over-flights with a Phantom 3 advanced rotor drone and a fixed-wing Ebee drone in seven townships of Yurimaguas. The objective of this work was to recognize the dynamics of land cover and land use changes in the region while at the same time to validate the accuracy of the detections of forest loss being monitored by Terra-i in Yurimaguas.
The Terra-i team has worked hard on renovating Terra-i’s website since early this year. A set of new features on the website provides interactive contents and facilitates adaptation to the mobile devices of our users. The fresh website was developed using the latest update of an open-source, Java-based web system, Magnolia CMS 5.4.4. This update was customized to add different categories of interaction such as news, vegetation cover changes, and information, among others.
Globally more than 1 billion people depend on forests for their livelihoods. Forests play a crucial role in climate regulation, ecosystem services provision and regulation, water supply, carbon storage and many other functions that support biodiversity. Currently the global rate of deforestation is substantial, and there is a growing need for timely, spatially explicit data that flag natural vegetation changes due to human activities.
The latest update of Terra-i has been used with the Co$ting Nature ecosystem services assessment tool to understand the impacts of recent forest loss in Colombia on biodiversity and ecosystem services.
During the 1st and 12th of June 2015, the Terra-i team, together with the Instituto de Investigaciones de la Amazonía Peruana (IIAP) and the Universidad Nacional Agraria La Molina (VLIR-UNALM), conducted the second field validation of the data produced by the Terra-I system. This time, the study area was the Yurimaguas district, Alto Amazonas province, Loreto region (Peru). We used information on populated places, main roads, rivers and information on land cover changes detected for 2013, 2014 and 2015 to define the 65 sampling points (or Terra-I pixels) for the validation process (Figure 1).