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Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon

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Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon. / Souza, Jr, Carlos; Siqueira, João; Sales, Marcio et al.

In: Remote Sensing Reviews, Vol. 5, No. 11, 28.10.2013, p. 5493-5513.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Souza, Jr, C, Siqueira, J, Sales, M, Fonseca, A, Ribeiro, J, Numata, I, Cochrane, M, Barber, C, Roberts, D & Barlow, J 2013, 'Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon', Remote Sensing Reviews, vol. 5, no. 11, pp. 5493-5513. https://doi.org/10.3390/rs5115493

APA

Souza, Jr, C., Siqueira, J., Sales, M., Fonseca, A., Ribeiro, J., Numata, I., Cochrane, M., Barber, C., Roberts, D., & Barlow, J. (2013). Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon. Remote Sensing Reviews, 5(11), 5493-5513. https://doi.org/10.3390/rs5115493

Vancouver

Souza, Jr C, Siqueira J, Sales M, Fonseca A, Ribeiro J, Numata I et al. Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon. Remote Sensing Reviews. 2013 Oct 28;5(11):5493-5513. doi: 10.3390/rs5115493

Author

Souza, Jr, Carlos ; Siqueira, João ; Sales, Marcio et al. / Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon. In: Remote Sensing Reviews. 2013 ; Vol. 5, No. 11. pp. 5493-5513.

Bibtex

@article{4dde7c93bea64abfb0d4e921549fb275,
title = "Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon",
abstract = "Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30% of the area converted by deforestation. While average annual outright deforestation declined by 46% between the first and second halves of the study period, annual forest degradation increased by 20%. Existing operational monitoring systems (PRODES: Monitoramento da Florestal Amaz{\^o}nica Brasileira por Sat{\'e}lite) report deforestation area to within 2% of our results, but do not account for the extensive forest degradation occurring throughout the region due to selective logging and forest fire. Annual monitoring of forest degradation across tropical forests is critical for developing land management policies as well as the monitoring of carbon stocks/emissions and protected areas",
keywords = "deforestation, forest degradation , Amazon , decision tree",
author = "{Souza, Jr}, Carlos and Jo{\~a}o Siqueira and Marcio Sales and Ant{\^o}nio Fonseca and J{\'u}lia Ribeiro and Izaya Numata and Mark Cochrane and Christopher Barber and Dar Roberts and Jos Barlow",
year = "2013",
month = oct,
day = "28",
doi = "10.3390/rs5115493",
language = "English",
volume = "5",
pages = "5493--5513",
journal = "Remote Sensing Reviews",
issn = "0275-7257",
publisher = "Taylor and Francis Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon

AU - Souza, Jr, Carlos

AU - Siqueira, João

AU - Sales, Marcio

AU - Fonseca, Antônio

AU - Ribeiro, Júlia

AU - Numata, Izaya

AU - Cochrane, Mark

AU - Barber, Christopher

AU - Roberts, Dar

AU - Barlow, Jos

PY - 2013/10/28

Y1 - 2013/10/28

N2 - Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30% of the area converted by deforestation. While average annual outright deforestation declined by 46% between the first and second halves of the study period, annual forest degradation increased by 20%. Existing operational monitoring systems (PRODES: Monitoramento da Florestal Amazônica Brasileira por Satélite) report deforestation area to within 2% of our results, but do not account for the extensive forest degradation occurring throughout the region due to selective logging and forest fire. Annual monitoring of forest degradation across tropical forests is critical for developing land management policies as well as the monitoring of carbon stocks/emissions and protected areas

AB - Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30% of the area converted by deforestation. While average annual outright deforestation declined by 46% between the first and second halves of the study period, annual forest degradation increased by 20%. Existing operational monitoring systems (PRODES: Monitoramento da Florestal Amazônica Brasileira por Satélite) report deforestation area to within 2% of our results, but do not account for the extensive forest degradation occurring throughout the region due to selective logging and forest fire. Annual monitoring of forest degradation across tropical forests is critical for developing land management policies as well as the monitoring of carbon stocks/emissions and protected areas

KW - deforestation

KW - forest degradation

KW - Amazon

KW - decision tree

U2 - 10.3390/rs5115493

DO - 10.3390/rs5115493

M3 - Journal article

VL - 5

SP - 5493

EP - 5513

JO - Remote Sensing Reviews

JF - Remote Sensing Reviews

SN - 0275-7257

IS - 11

ER -