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.
CIAT and the Terra-i team are pleased to announce the publication of a new study in Paraquaria Natural, the most prestigious journal in Paraguay dedicated to biodiversity and the conservation of nature.
New deforestation hotspots point the finger at my favourite fruit I love Terra-i, but today I hate it. A lot. The system uses satellite images to track deforestation in the Amazon in near-realtime. It’s extremely accurate: if a bunch of trees come down somewhere – no matter how remote – Terra-i picks it up. Cool, right? Not today. CIAT’s Louis Reymondin, the system’s chief architect, dropped the bombshell over coffee: it looks as though hundreds of hectares of rainforest in Peru are being trashed by… papaya.
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.
The production of geospatial data related to land-use and land cover changes by governments and civil society organizations has vastly increased during the last decade. Going beyond the valuable information (location, rates and absolute values of changes) provided by these datasets, it is important to have a better understanding of the spatial configurations and composition of the detected change areas at multiple spatial resolutions and time periods. Alejandro Coca-Castro’s research is aiming to map types of spatial deforestation patterns in the Amazon rainforest through the integration of landscape fragmentation metrics and data mining techniques. The research will contribute to the understanding of two deforestation datasets (Terra-i and GFC) and is part of his master dissertation at King’s College London. This blog post highlights Alejandro’s research methodology, preliminary findings and challenges.
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).
Ecuador is recognized as one of the biodiverse hotspots on earth, underneath the Amazon rainforest lies the country’s oil reservoir. With the oil companies and cleared routes come settlers, therefore more and more of this diverse rainforest is being cut down. Since the oil concerns entered the Ecuadorian Amazon 45 years ago, they keep exploring and exploiting the area. The Terra-i detections reveal a total habitat loss of 87,525 Ha, 16,943 Ha (19%) is part of protected areas, between January 2004 and February 2015.