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Geocarto International Volume 35, 2020 - Issue 10
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Original Articles

Accuracies of support vector machine and random forest in rice mapping with Sentinel-1A, Landsat-8 and Sentinel-2A datasets

Lamin R. MansarayInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; ;Key Laboratory of Agricultural Remote Sensing and Information Systems, Zhejiang Province, Zhejiang University, Hangzhou, China; ; Laboratory of Agro-meteorology and Geo-informatics, Magbosi Land, Water and Environment Research Centre (MLWERC), Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra Leone; ORCID Iconhttp://orcid.org/0000-0001-9250-3657View further author information
ORCID Icon,
Fumin WangInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; ;Key Laboratory of Agricultural Remote Sensing and Information Systems, Zhejiang Province, Zhejiang University, Hangzhou, China; Correspondence[email protected]
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Jingfeng HuangInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; ;Key Laboratory of Agricultural Remote Sensing and Information Systems, Zhejiang Province, Zhejiang University, Hangzhou, China; View further author information
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Lingbo YangInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; ;Key Laboratory of Agricultural Remote Sensing and Information Systems, Zhejiang Province, Zhejiang University, Hangzhou, China; View further author information
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Adam Sheka Kanu Laboratory of Agronomy, Rokupr Agricultural Research Centre (RARC), Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra LeoneView further author information
Pages 1088-1108 | Received 18 Jul 2018, Accepted 04 Jan 2019, Published online: 18 Mar 2019

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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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Yanli Gao, Zhanqing Zhao, Guofei Shang, Yubo Liu, Shizhuo Liu, Haiming Yan, Yanhong Chen, Xia Zhang & Weiguo Li. (2023) Optimal feature selection and crop extraction using random forest based on GF-6 WFV data. International Journal of Remote Sensing 0:0, pages 1-20.
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Morrison K. Lahai, Victor T. S. Kabba & Lamin R. Mansaray. (2022) Drivers of land-use and land-cover change in rural landscapes; a case in Eastern Sierra Leone. Geocarto International 37:27, pages 17503-17525.
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Lamin R. Mansaray, Fumin Wang, Adam S. Kanu & Lingbo Yang. (2022) Evaluating Sentinel-1A datasets for rice leaf area index estimation based on machine learning regression models. Geocarto International 37:5, pages 1225-1236.
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Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Ru Chen, Piero Toscano, Youg-Sing Cheng, Hong-Yuh Guo & Chien-Hui Syu. (2021) A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan. International Journal of Remote Sensing 42:7, pages 2722-2739.
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Laju Gandharum, Mari E. Mulyani, Djoko M. Hartono, Asep Karsidi & Mubariq Ahmad. (2021) Remote sensing versus the area sampling frame method in paddy rice acreage estimation in Indramayu regency, West Java province, Indonesia. International Journal of Remote Sensing 42:5, pages 1738-1767.
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Yujie Dou, Ran Huang, Lamin R. Mansaray & Jingfeng Huang. (2020) Mapping high temperature damaged area of paddy rice along the Yangtze River using Moderate Resolution Imaging Spectroradiometer data. International Journal of Remote Sensing 41:2, pages 471-486.
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Abdulhakim Mohamed Abdi. (2020) Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. GIScience & Remote Sensing 57:1, pages 1-20.
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Lamin R. Mansaray, Lingbo Yang, Victor T. S. Kabba, Adam S. Kanu, Jingfeng Huang & Fumin Wang. (2019) Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery. GIScience & Remote Sensing 56:8, pages 1333-1354.
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