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GIScience & Remote Sensing Volume 56, 2019 - Issue 2
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Articles

Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery

Guiying LiFujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, 350007, Fuzhou, China;School of Geographical Sciences, Fujian Normal University, 350007, Fuzhou, ChinaORCID Iconhttp://orcid.org/0000-0001-7198-4607View further author information
ORCID Icon,
Dengsheng LuFujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, 350007, Fuzhou, China;School of Geographical Sciences, Fujian Normal University, 350007, Fuzhou, China;Center for Global Change and Earth Observations, Michigan State University, 48823, East Lansing, MI, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-4767-5710View further author information
ORCID Icon,
Emilio MoranCenter for Global Change and Earth Observations, Michigan State University, 48823, East Lansing, MI, USAView further author information
,
Miquéias Freitas CalviFaculty of Forestry, Federal University of Pará, 68.372-040, Altamira, PA, BrazilORCID Iconhttp://orcid.org/0000-0002-9409-9915View further author information
ORCID Icon,
Luciano Vieira DutraImage Processing Division, National Institute for Space Research, São Jose dos Campos, SP, 12245-010, BrazilORCID Iconhttp://orcid.org/0000-0002-7757-039XView further author information
ORCID Icon &
Mateus BatistellaEmbrapa Agricultural Informatics, Brazilian Agricultural Research Corporation (Embrapa), Brasília, BrazilView further author information
Pages 161-183 | Received 23 Feb 2018, Accepted 02 Jul 2018, Published online: 13 Jul 2018

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Jungho Im. (2020) Earth observations and geographic information science for sustainable development goals. GIScience & Remote Sensing 57:5, pages 591-592.
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Hong Tao, Manqi Li, Ming Wang & Guonian Lü. (2019) Genetic algorithm-based method for forest type classification using multi-temporal NDVI from Landsat TM imagery. Annals of GIS 25:1, pages 33-43.
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Articles from other publishers (11)

Bo Liu, Wei Song, Zhan Meng & Xinwei Liu. (2023) Review of Land Use Change Detection—A Method Combining Machine Learning and Bibliometric Analysis. Land 12:5, pages 1050.
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Luiz Felipe Sant’Anna Commar, Gabriel Medeiros Abrahão & Marcos Heil Costa. (2023) A possible deforestation-induced synoptic-scale circulation that delays the rainy season onset in Amazonia. Environmental Research Letters 18:4, pages 044041.
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Alynne Almeida Affonso, Silvia Sayuri Mandai, Tatiana Pineda Portella, José Alberto Quintanilha, Luis Américo Conti & Carlos Henrique Grohmann. (2023) A Comparison between Supervised Classification Methods: Study Case on Land Cover Change Detection Caused by a Hydroelectric Complex Installation in the Brazilian Amazon. Sustainability 15:2, pages 1309.
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Hassan Mahmoudzadeh, Asghar Abedini & Farshid Aram. (2022) Urban Growth Modeling and Land-Use/Land-Cover Change Analysis in a Metropolitan Area (Case Study: Tabriz). Land 11:12, pages 2162.
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Jitendra Kumar & Rekha Sharma. (2022) Highway peripheral urbanization, industrialization and land use change: a case study of NH-48 in National Capital Region, Delhi, India. GeoJournal.
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Katyanne V. Conceição, Michel E.D. Chaves, Michelle C.A. Picoli, Alber H. Sánchez, Anderson R. Soares, Guilherme A.V. Mataveli, Daniel E. Silva, Joelma S. Costa & Gilberto Camara. (2021) Government policies endanger the indigenous peoples of the Brazilian Amazon. Land Use Policy 108, pages 105663.
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Barbara Entwisle. (2021) Population responses to environmental change: looking back, looking forward. Population and Environment 42:4, pages 431-444.
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Daniella Tiemi Sasaki Okida, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Roberto Arnaldo Trancoso Gomes & Renato Fontes Guimarães. (2021) Relationship between Land Property Security and Brazilian Amazon Deforestation in the Mato Grosso State during the Period 2013–2018. Sustainability 13:4, pages 2085.
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Pablo de Bem, Osmar de Carvalho Junior, Renato Fontes Guimarães & Roberto Trancoso Gomes. (2020) Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks. Remote Sensing 12:6, pages 901.
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Juliana Siqueira-Gay, Aurora Miho Yanai, Janeth Lessmann, Ana Carolina M. Pessôa, Danilo Borja, Moara Canova & Rafael Cabral Borges. (2020) Pathways to positive scenarios for the Amazon forest in Pará state, Brazil. Biota Neotropica 20:suppl 1.
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Li, Zhang, Li & Zhang. (2019) Mapping the Spatial Distribution of Tea Plantations Using High-Spatiotemporal-Resolution Imagery in Northern Zhejiang, China. Forests 10:10, pages 856.
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