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Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891484/ https://www.ncbi.nlm.nih.gov/pubmed/31752073 http://dx.doi.org/10.3390/s19225020 |
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author | 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. |
author_facet | 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. |
author_sort | Gasparini, Kaio Allan Cruz |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6891484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68914842019-12-18 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. Sensors (Basel) Letter 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. MDPI 2019-11-18 /pmc/articles/PMC6891484/ /pubmed/31752073 http://dx.doi.org/10.3390/s19225020 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter 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. Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title | Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title_full | Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title_fullStr | Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title_full_unstemmed | Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title_short | Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data |
title_sort | determining a threshold to delimit the amazonian forests from the tree canopy cover 2000 gfc data |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891484/ https://www.ncbi.nlm.nih.gov/pubmed/31752073 http://dx.doi.org/10.3390/s19225020 |
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