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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 L.
Afiliação
  • Gasparini KAC; Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
  • Silva Junior CHL; Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
  • Shimabukuro YE; Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
  • Arai E; Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
  • Aragão LEOCE; Divisão de Sensoriamento Remoto, Instituto Nacional de Pesquisas Espaciais, São José dos Campos - SP, Brazil.
  • Silva CA; Department of Geographical Sciences, University of Maryland, College Park, Maryland, MD 20740, USA.
  • Marshall PL; Department of Forest Resources Management, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
Sensors (Basel) ; 19(22)2019 Nov 18.
Article em En | MEDLINE | ID: mdl-31752073
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Árvores / Florestas Tipo de estudo: Diagnostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Árvores / Florestas Tipo de estudo: Diagnostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2019 Tipo de documento: Article