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Letter

Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data

1
Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos – SP, Brazil
2
Department of Geographical Sciences, University of Maryland, College Park, Maryland, MD 20740, USA
3
Department of Forest Resources Management, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(22), 5020; https://doi.org/10.3390/s19225020
Received: 2 September 2019 / Revised: 6 November 2019 / Accepted: 13 November 2019 / Published: 18 November 2019
Open global forest cover data can be a critical component for Reducing Emissions from Deforestation and Forest Degradation (REDD+) policies. In this work, we determine the best threshold, compatible with the official Brazilian dataset, for establishing a forest mask cover within the Amazon basin for the year 2000 using the Tree Canopy Cover 2000 GFC product. We compared forest cover maps produced using several thresholds (10%, 30%, 50%, 80%, 85%, 90%, and 95%) with a forest cover map for the same year from the Brazilian Amazon Deforestation Monitoring Project (PRODES) data, produced by the National Institute for Space Research (INPE). We also compared the forest cover classifications indicated by each of these maps to 2550 independently assessed Landsat pixels for the year 2000, providing an accuracy assessment for each of these map products. We found that thresholds of 80% and 85% best matched with the PRODES data. Consequently, we recommend using an 80% threshold for the Tree Canopy Cover 2000 data for assessing forest cover in the Amazon basin. View Full-Text
Keywords: forest mapping; Google Earth Engine; REDD+; remote sensing; forest degradation forest mapping; Google Earth Engine; REDD+; remote sensing; forest degradation
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MDPI and ACS Style

Gasparini, K.A.C.; Silva Junior, C.H.L.; Shimabukuro, Y.E.; Arai, E.; Aragão, L.E.O.C.e.; Silva, C.A.; Marshall, P.L. Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data. Sensors 2019, 19, 5020. https://doi.org/10.3390/s19225020

AMA Style

Gasparini KAC, Silva Junior CHL, Shimabukuro YE, Arai E, Aragão LEOCe, Silva CA, Marshall PL. Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data. Sensors. 2019; 19(22):5020. https://doi.org/10.3390/s19225020

Chicago/Turabian Style

Gasparini, Kaio A.C., Celso H.L. Silva Junior, Yosio E. Shimabukuro, Egidio Arai, Luiz E.O.C.e. Aragão, Carlos A. Silva, and Peter L. Marshall. 2019. "Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data" Sensors 19, no. 22: 5020. https://doi.org/10.3390/s19225020

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