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Geocarto International Volume 9, 1994 - Issue 4
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Original Articles

Crop area monitoring within an advanced agricultural information system

Daniele Ehrlich Remote Sensing Research Unit, Department of Geography, University of California, Santa Barbara, CA, 93106, U.S.A.; Monitoring Tropical Vegetation Institute for Remote Sensing Applications, Joint Research Center, Ispra, 21020, Italy
,
John E. Estes Remote Sensing Research Unit, Department of Geography, University of California, Santa Barbara, CA, 93106, U.S.A.
,
Joseph Scepan Remote Sensing Research Unit, Department of Geography, University of California, Santa Barbara, CA, 93106, U.S.A.
&
Kenneth C. McGwire Remote Sensing Research Unit, Department of Geography, University of California, Santa Barbara, CA, 93106, U.S.A.; Desert Research Institute, Reno, NV, 89512, U.S.A.
Pages 31-42 | Published online: 17 Sep 2008

Citations (12)

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Read on this site (3)

Chenghai Yang, JamesH. Everitt, ReginaldS. Fletcher & Dale Murden. (2007) Using high resolution QuickBird imagery for crop identification and area estimation. Geocarto International 22:3, pages 219-233.
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M. A. Diuk-Wasser$suffix/text()$suffix/text(), M. Bagayoko, N. Sogoba, G. Dolo, M. B. TourÉ, S. F. TraorÉ & C. E. Taylor. (2004) Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data . International Journal of Remote Sensing 25:2, pages 359-376.
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Y. Ban & P.J. Howarth. (1999) Multitemporal ERS-1 SAR Data for Crop Classification: A Sequential-Masking Approach. Canadian Journal of Remote Sensing 25:5, pages 438-447.
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Articles from other publishers (9)

Kamini Yadav & Russell G. Congalton. (2020) Extending Crop Type Reference Data Using a Phenology-Based Approach. Frontiers in Sustainable Food Systems 4.
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Xiaomin Li, Zhiyu Ma, Xuan Chu & Yongxin Liu. (2019) A Cloud-Assisted Region Monitoring Strategy of Mobile Robot in Smart Greenhouse. Mobile Information Systems 2019, pages 1-10.
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Gerald Forkuor, Christopher Conrad, Michael Thiel, Tobias Landmann & Boubacar Barry. (2015) Evaluating the sequential masking classification approach for improving crop discrimination in the Sudanian Savanna of West Africa. Computers and Electronics in Agriculture 118, pages 380-389.
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Aziz Ahmed, Muhammad Muaz, Manzoor Ali, Muhammad Yasir, Sadiq Ullah & Shahbaz Khan. (2015) Mahalanobis distance and maximum likelihood based classification for identifying tobacco in Pakistan. Mahalanobis distance and maximum likelihood based classification for identifying tobacco in Pakistan.
Aziz Ahmed, Muhammad Muaz, Manzoor Ali, Muhammad Yasir, Nasru Minallah, Sadiq Ullah & Shahbaz Khan. (2015) Comparing pixel-based classifiers for detecting tobacco crops in north-west Pakistan. Comparing pixel-based classifiers for detecting tobacco crops in north-west Pakistan.
Chenghai Yang, James H. Everitt & Dale Murden. (2011) Evaluating high resolution SPOT 5 satellite imagery for crop identification. Computers and Electronics in Agriculture 75:2, pages 347-354.
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Doug R Oetter, Warren B Cohen, Mercedes Berterretche, Thomas K Maiersperger & Robert E Kennedy. (2001) Land cover mapping in an agricultural setting using multiseasonal Thematic Mapper data. Remote Sensing of Environment 76:2, pages 139-155.
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Ted K. Bradshaw & Brian Muller. (2010) Impacts of Rapid Urban Growth on Farmland Conversion: Application of New Regional Land Use Policy Models and Geographical Information Systems 1 . Rural Sociology 63:1, pages 1-25.
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Mary Pax Lenney, Curtis E. Woodcock, John B. Collins & Hassan Hamdi. (1996) The status of agricultural lands in Egypt: The use of multitemporal NDVI features derived from landsat TM. Remote Sensing of Environment 56:1, pages 8-20.
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