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Original Articles

Spectral analysis and classification accuracy of coffee crops using Landsat and a topographic‐environmental model

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Pages 1577-1593 | Received 01 Jul 2005, Accepted 07 Nov 2005, Published online: 05 Apr 2007

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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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Fernando Shinji Kawakubo & Reinaldo Paul Pérez Machado. (2016) Mapping coffee crops in southeastern Brazil using spectral mixture analysis and data mining classification. International Journal of Remote Sensing 37:14, pages 3414-3436.
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Miguel Alfonso Ortega-Huerta, Oliver Komar, KevinP. Price & HugoJ. Ventura. (2012) Mapping coffee plantations with Landsat imagery: an example from El Salvador. International Journal of Remote Sensing 33:1, pages 220-242.
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Articles from other publishers (31)

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Agustín Escobar-López, Miguel Ángel Castillo-Santiago, José Luis Hernández-Stefanoni, Jean François Mas & Jorge Omar López-Martínez. (2022) Identifying Coffee Agroforestry System Types Using Multitemporal Sentinel-2 Data and Auxiliary Information. Remote Sensing 14:16, pages 3847.
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Quang Toan Le, Kinh Bac Dang, Tuan Linh Giang, Thi Huyen Ai Tong, Vu Giang Nguyen, Thi Dieu Linh Nguyen & Muhammad Yasir. (2022) Deep Learning Model Development for Detecting Coffee Tree Changes Based on Sentinel-2 Imagery in Vietnam. IEEE Access 10, pages 109097-109107.
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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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Lucas Santos Santana, Gabriel Araújo e Silva Ferraz, Alberdan José da Silva Teodoro, Mozarte Santos Santana, Giuseppe Rossi & Enrico Palchetti. (2021) Advances in Precision Coffee Growing Research: A Bibliometric Review. Agronomy 11:8, pages 1557.
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Chenxi Lin, Zhenong Jin, David Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar & Yaping Cai. (2021) Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sensing 13:9, pages 1740.
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Anggun Tridawati, Ketut Wikantika, Tri Muji Susantoro, Agung Budi Harto, Soni Darmawan, Lissa Fajri Yayusman & Mochamad Firman Ghazali. (2020) Mapping the Distribution of Coffee Plantations from Multi-Resolution, Multi-Temporal, and Multi-Sensor Data Using a Random Forest Algorithm. Remote Sensing 12:23, pages 3933.
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Gladys Mosomtai, John Odindi, Elfatih M. Abdel-Rahman, Régis Babin, Pinard Fabrice, Onisimo Mutanga, Henri E. Z. Tonnang, Guillaume David & Tobias Landmann. (2020) Landscape fragmentation in coffee agroecological subzones in central Kenya: a multiscale remote sensing approach. Journal of Applied Remote Sensing 14:04.
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Aryo Condro, Yudi Setiawan, Lilik Prasetyo, Rahmat Pramulya & Lasriama Siahaan. (2020) Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform. Land 9:10, pages 377.
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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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A Tridawati, K Wikantika, A B Harto, M F Ghazali, R Suprihatini & K T Suhari. (2020) Investigation method for shaded coffee plantation detection using aerial photography. IOP Conference Series: Earth and Environmental Science 500:1, pages 012034.
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Carolina Gusmão Souza, Tássia Borges Arantes, Luis Marcelo Tavares de Carvalho & Polyanne Aguiar. (2019) Multitemporal variables for the mapping of coffee cultivation areas. Pesquisa Agropecuária Brasileira 54.
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Carlos L. Muñoz Brenes, Kelly W. Jones, Peter Schlesinger, Juan Robalino & Lee Vierling. (2018) The impact of protected area governance and management capacity on ecosystem function in Central America. PLOS ONE 13:10, pages e0205964.
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Lisa C. Kelley, Lincoln Pitcher & Chris Bacon. (2018) Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua. Remote Sensing 10:6, pages 952.
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Julie Gaertner. (2017) Vegetation classification of Coffea on Hawaii Island using WorldView-2 satellite imagery. Journal of Applied Remote Sensing 11:04, pages 1.
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Carolina Gusmão Souza, Luis Carvalho, Polyanne Aguiar & Tássia Borges Arantes. (2016) ALGORITMOS DE APRENDIZAGEM DE MÁQUINA E VARIÁVEIS DE SENSORIAMENTO REMOTO PARA O MAPEAMENTO DA CAFEICULTURA. Boletim de Ciências Geodésicas 22:4, pages 751-773.
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A. Mukashema, A. Veldkamp & A. Vrieling. (2014) Automated high resolution mapping of coffee in Rwanda using an expert Bayesian network. International Journal of Applied Earth Observation and Geoinformation 33, pages 331-340.
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Simon Taugourdeau, Guerric le Maire, Jacques Avelino, Jeffrey R. Jones, Luis G. Ramirez, Manuel Jara Quesada, Fabien Charbonnier, Federico Gómez-Delgado, Jean-Michel Harmand, Bruno Rapidel, Philippe Vaast & Olivier Roupsard. (2014) Leaf area index as an indicator of ecosystem services and management practices: An application for coffee agroforestry. Agriculture, Ecosystems & Environment 192, pages 19-37.
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Robson L.F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Luciana A.S. Romani, Priscila P. Coltri, Tamires T. Souza, Agma J.M. Traina, Caetano TrainaJr.Jr. & Christos Faloutsos. (2014) QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases. Information Sciences 264, pages 211-229.
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Mikaela Schmitt-Harsh. (2013) Landscape change in Guatemala: Driving forces of forest and coffee agroforest expansion and contraction from 1990 to 2010. Applied Geography 40, pages 40-50.
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Mikaela Schmitt-Harsh, Sean P. Sweeney & Tom P. Evans. (2013) Classification of Coffee-Forest Landscapes Using Landsat TM Imagery and Spectral Mixture Analysis. Photogrammetric Engineering & Remote Sensing 79:5, pages 457-468.
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Tiago Bernardes, Maurício Alves Moreira, Marcos Adami, Angélica Giarolla & Bernardo Friedrich Theodor Rudorff. (2012) Monitoring Biennial Bearing Effect on Coffee Yield Using MODIS Remote Sensing Imagery. Remote Sensing 4:9, pages 2492-2509.
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Guillermo C. Martínez-Verduzco, J. Mauricio Galeana-Pizaña & Gustavo M. Cruz-Bello. (2012) Coupling Community Mapping and supervised classification to discriminate Shade coffee from Natural vegetation. Applied Geography 34, pages 1-9.
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Gustavo M. Cruz-Bello, Hallie Eakin, Helda Morales & Juan F. Barrera. (2010) Linking multi-temporal analysis and community consultation to evaluate the response to the impact of Hurricane Stan in coffee areas of Chiapas, Mexico. Natural Hazards 58:1, pages 103-116.
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Rubens A. C. Lamparelli, Luiz Nery & Jansle V. Rocha. (2011) Utilização da técnica por componentes principais (acp) e fator de iluminação, no mapeamento da cultura do café em relevo montanhoso. Engenharia Agrícola 31:3, pages 584-597.
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C. Gomez, M. Mangeas, M. Petit, C. Corbane, P. Hamon, S. Hamon, A. De Kochko, D. Le Pierres, V. Poncet & M. Despinoy. (2010) Use of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones. Remote Sensing of Environment 114:11, pages 2731-2744.
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J. A. Santos, F. Faria, R. Calumby, R. da S. Torres & R. A. C. Lamparelli. (2010) A Genetic Programming approach for coffee crop recognition. A Genetic Programming approach for coffee crop recognition.
Carla Geovana N. Macário, Jefersson A. dos Santos, Claudia Bauzer Medeiros & Ricardo da S. Torres. (2010) Annotating data to support decision-making. Annotating data to support decision-making.
N. A. Brunsell, P. P. B. Pontes & R. A. C. Lamparelli. (2013) Remotely Sensed Phenology of Coffee and Its Relationship to Yield. GIScience & Remote Sensing 46:3, pages 289-304.
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Stephen J. Walsh, Yang Shao, Carlos F. Mena & Amy L. McCleary. (2008) Integration of Hyperion Satellite Data and A Household Social Survey to Characterize the Causes and Consequences of Reforestation Patterns in the Northern Ecuadorian Amazon. Photogrammetric Engineering & Remote Sensing 74:6, pages 725-735.
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