Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020-Reference-Cited by-同舟云学术

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Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020

Published:2023-04-09 Issue:1 Volume:18 Page:176-195
ISSN:1747-423X
Container-title:Journal of Land Use Science
language:en
Short-container-title:Journal of Land Use Science

Author:

Jakimow Benjamin¹^ORCID,Baumann Matthias¹^ORCID,Salomão Caroline²³⁴^ORCID,Bendini Hugo⁵^ORCID,Hostert Patrick¹⁴^ORCID

Affiliation:

1. Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany

2. Department of Hydrology and Water Resource (EHR), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil

3. Amazon Environmental Research Institute (IPAM), Brasília, Brazil

4. Integrative Research Institute of Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany

5. Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, Brazil

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1747423X.2023.2195420

Reference76 articles.

1. The systematic dismantling of Brazilian environmental laws risks losses on all fronts

2. Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning

3. Alarming surge in Amazon fires prompts global outcry

4. 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions

5. The Incidence of Fire in Amazonian Forests with Implications for REDD

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands;Land;2024-09-04

2. Predicting the pulse of the Amazon: Machine learning insights into deforestation dynamics;Journal of Environmental Management;2024-06

3. Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery;Remote Sensing of Environment;2023-12

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