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International Journal of Remote Sensing Volume 42, 2021 - Issue 10
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Research Article

An operational automated mapping algorithm for in-season estimation of wheat area for Punjab, Pakistan

Ahmad Khana Department of Geographical Sciences, University of Maryland, College Park, MD, USACorrespondence[email protected]
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,
Matthew C. Hansena Department of Geographical Sciences, University of Maryland, College Park, MD, USAView further author information
,
Peter Potapova Department of Geographical Sciences, University of Maryland, College Park, MD, USAView further author information
,
Bernard Aduseia Department of Geographical Sciences, University of Maryland, College Park, MD, USAView further author information
,
Stephen V. Stehmanb SUNY College of Environmental Science and Forestry, Syracuse, NY, USAView further author information
&
Marc K. Steiningera Department of Geographical Sciences, University of Maryland, College Park, MD, USAView further author information
Pages 3833-3849 | Received 04 Aug 2020, Accepted 15 Jan 2021, Published online: 14 Feb 2021

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Xiao-Peng Song. (2023) The future of global land change monitoring. International Journal of Digital Earth 16:1, pages 2279-2300.
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Adila Maryum, Humaira Yasmin, Qamar Saeed, Ashraf M. Ahmed, Simona Mariana Popescu & Faheem Ahmad. (2024) Phytofabrication and characterization of ZnO nanoparticles with Anagallis arvensis as promising eco-friendly insecticide against Tribolium castaneum Herbst. Journal of King Saud University - Science 36:5, pages 103162.
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Wenzheng Ye, Tinghuai Ma, Zilong Jin, Huan Rong, Benjamin Kwapong Osibo, Mohamed Magdy Abdel Wahab, Yuming Su & Bright Bediako-Kyeremeh. (2024) CBTA: a CNN-BiGRU method with triple attention for winter wheat yield prediction. Journal of Applied Remote Sensing 18:01.
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Haijun Li, Xiao-Peng Song, Matthew C. Hansen, Inbal Becker-Reshef, Bernard Adusei, Jeffrey Pickering, Li Wang, Lei Wang, Zhengyang Lin, Viviana Zalles, Peter Potapov, Stephen V. Stehman & Chris Justice. (2023) Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment 294, pages 113623.
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Recep Uğur ACAR & Enes ZENGİN. (2023) PERFORMANCE ASSESSMENT OF LANDSAT 8 AND SENTINEL-2 SATELLITE IMAGES FOR THE PRODUCTION OF TIME SERIES LAND USE/LAND COVER (LULC) MAPS. Journal of Scientific Reports-A:053, pages 1-15.
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Peter Potapov, Matthew C. Hansen, Amy Pickens, Andres Hernandez-Serna, Alexandra Tyukavina, Svetlana Turubanova, Viviana Zalles, Xinyuan Li, Ahmad Khan, Fred Stolle, Nancy Harris, Xiao-Peng Song, Antoine Baggett, Indrani Kommareddy & Anil Kommareddy. (2022) The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results. Frontiers in Remote Sensing 3.
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Peter Potapov, Svetlana Turubanova, Matthew C. Hansen, Alexandra Tyukavina, Viviana Zalles, Ahmad Khan, Xiao-Peng Song, Amy Pickens, Quan Shen & Jocelyn Cortez. (2021) Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food 3:1, pages 19-28.
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