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Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data Gasparini, Kaio Allan Cruz; Silva Junior, Celso Henrique Leite; Shimabukuro, Yosio Edemir; Arai, Egidio; Aragão, Luiz Eduardo Oliveira Cruz e; Silva, Carlos Alberto; Marshall, Peter Lawrence, 1953-

Abstract

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.

Item Metadata

Title
Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data
Creator
Gasparini, Kaio Allan Cruz; Silva Junior, Celso Henrique Leite; Shimabukuro, Yosio Edemir; Arai, Egidio; Aragão, Luiz Eduardo Oliveira Cruz e; Silva, Carlos Alberto; Marshall, Peter Lawrence, 1953-
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2019-11-18
Description
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.
Subject
forest mapping; Google Earth Engine; REDD+; remote sensing; forest degradation
Genre
Article
Type
Text
Language
eng
Date Available
2019-11-22
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0385834
URI
http://hdl.handle.net/2429/72361
Affiliation
Forestry, Faculty of; Non UBC; Forest Resources Management, Department of
Citation
Sensors 19 (22): 5020 (2019)
Publisher DOI
10.3390/s19225020
Peer Review Status
Reviewed
Scholarly Level
Faculty
Rights URI
https://creativecommons.org/licenses/by/4.0/
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CC BY 4.0