Evaluaciones de recursos forestales mundiales

FRA 2020 Remote Sensing Survey

First results of FRA 2020 Remote sensing survey

Following the recommendations from the 23rd session of the Committee of Forestry (COFO), FRA 2020 conducted a participatory global remote sensing survey (FRA 2020 RSS) with the scope of improving estimates of forest area change at global and regional scales. The FRA secretariat, in collaboration with the Joint Research Center of the European Commission (JRC) and the FAO working group on remote sensing, has developed a worldwide methodology for the FRA 2020 RSS, which can also be scaled to national assessments. The scope and the methodological design of the survey were defined according to past RSS experiences, in particular the FRA 2010 RSS. They also took advantage of technological progress as well as the increased availability of satellite imagery.

To provide independent and consistent estimates at global, regional and Global Ecological Zone (GEZ) levels on:
• Land use and land cover area in 2018.
• Changes in land use area and land cover for the periods 2000-2010, and 2010-2018.
• Deforestation drivers.

On a methodological level, to:
• Develop national capacities in remote sensing.
• Build up a global network of FRA RSS experts.

The image analysis was done through visual interpretation using Collect Earth Online (CEO) software. CEO was developed under the Open Foris initiative by FAO in collaboration with NASA. Over 35 national and regional workshops were implemented from 2018 to 2021 to train more than 800 country experts and collect data on 400 000 FRA remote sensing samples. 

The development and implementation of the FRA 2020 RSS strongly relies on partnerships. FRA 2020 RSS counts on financial support from European Union (EU) and Norway's International Climate and Forest Initiative (NICFI) as well as technical support from the Joint Research Centre (JRC), Swedish University of Agricultural Sciences (SLU), the National Aeronautics and Space Administration (NASA) and the International Institute for Applied Systems Analysis (IIASA).