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International Journal of Remote Sensing Volume 37, 2016 - Issue 14
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Articles

Mapping coffee crops in southeastern Brazil using spectral mixture analysis and data mining classification

Fernando Shinji KawakuboLaboratory of Remote Sensing, Department of Geography, University of São Paulo, São Paulo, BrazilCorrespondence[email protected]
&
Reinaldo Paul Pérez MachadoLaboratory of Remote Sensing, Department of Geography, University of São Paulo, São Paulo, Brazil
Pages 3414-3436 | Received 12 Aug 2015, Accepted 03 Jun 2016, Published online: 28 Jun 2016

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Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Ru Chen, Youg-Sin Cheng & Shih-Hsiang Chen. (2023) Multidecadal evaluation of changes in coffee-growing areas using Landsat data in Central Highlands, Vietnam. Geocarto International 38:1.
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Articles from other publishers (10)

Marcelo de Carvalho Alves, Luciana Sanches, Fortunato Silva de Menezes & Lídia Raiza Sousa Lima Chaves Trindade. (2023) Multisensor analysis for environmental targets identification in the region of Funil dam, state of Minas Gerais, Brazil. Applied Geomatics 15:4, pages 807-827.
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Sin Liang Lim, Jaya Sreevalsan‐Nair & B. S. Daya Sagar. (2023) Multispectral data mining: A focus on remote sensing satellite images. WIREs Data Mining and Knowledge Discovery.
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Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Nanshan You, Troy Mao, Vipin Kumar & Zhenong Jin. (2023) Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. Remote Sensing of Environment 295, pages 113695.
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NICOLE L. BENTO, GABRIEL ARAÚJO E.S. FERRAZ, RAFAEL ALEXANDRE P. BARATA, DANIEL V. SOARES, SABRINA A. TEODORO & PEDRO HENRIQUE DE O. ESTIMA. (2023) Classifiers based on artificial intelligence in the prediction of recently planted coffee cultivars using a Remotely Piloted Aircraft System. Anais da Academia Brasileira de Ciências 95:3.
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Jonathan da Rocha Miranda, Rosane Gomes da Silva & Ronie Silva Juvanhol. (2022) Forest fire action on vegetation from the perspective of trend analysis in future climate change scenarios for a Brazilian savanna region. Ecological Engineering 175, pages 106488.
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Gina Maskell, Abel Chemura, Huong Nguyen, Christoph Gornott & Pinki Mondal. (2021) Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam. Remote Sensing of Environment 266, pages 112709.
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Jonathan da & Marcelo de. (2020) The use of machine learning in digital processing of satellite images applied to coffee crop. CABI Reviews.
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David A. Hunt, Karyn Tabor, Jennifer H. Hewson, Margot A. Wood, Louis Reymondin, Kellee Koenig, Mikaela Schmitt-Harsh & Forrest Follett. (2020) Review of Remote Sensing Methods to Map Coffee Production Systems. Remote Sensing 12:12, pages 2041.
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Fernando Kawakubo, Rúbia Morato, Marcos Martins, Guilherme Mataveli, Pablo Nepomuceno & Marcos Martines. (2019) Quantification and Analysis of Impervious Surface Area in the Metropolitan Region of São Paulo, Brazil. Remote Sensing 11:8, pages 944.
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Han Li, Long Li, Longqian Chen, Xisheng Zhou, Yifan Cui, Yunqiang Liu & Weiqiang Liu. (2019) Mapping and Characterizing Spatiotemporal Dynamics of Impervious Surfaces Using Landsat Images: A Case Study of Xuzhou, East China from 1995 to 2018. Sustainability 11:5, pages 1224.
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