Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/4604
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dc.contributor.authorNguyễn, Thanh Sơn-
dc.contributor.authorVõ, Quang Minh-
dc.contributor.authorYa, Wen Lin-
dc.contributor.authorLam, Dao Nguyen-
dc.contributor.authorChiang, Shou Hao-
dc.contributor.authorSobue, Shin Ichi-
dc.contributor.authorChen, Cheng Ru-
dc.contributor.authorChang, Ly Yu-
dc.contributor.authorChen, Chi Fan-
dc.date.accessioned2018-09-29T01:05:16Z-
dc.date.available2018-09-29T01:05:16Z-
dc.date.issued2016-
dc.identifier.issn2279-7254-
dc.identifier.urihttp://dspace.ctu.edu.vn/jspui/handle/123456789/4604-
dc.description.abstractInformation on rice cropping activities and growing areas is critical for crop management. This study developed a logistic-based method to monitor rice sowing and harvesting activities and, accordingly, to map rice growing areas from the MODIS–Landsat fusion data in An Giang Province, Vietnam. The EVI2 data derived from the fusion data compared with that of Landsat data indicated a close correlation (R2 = 0.93). The comparisons between the estimated sowing and harvesting dates and the feld survey data revealed the RMSE values of around 8 and 5 days for the winter–spring crop and 9 and 12 days for the summer–autumn crop, respectively. The rice mapping results compared with the ground reference data indicated an overall accuracy and Kappa coeffcient of 93.2% and 0.86 for the winter–spring crop, and 91.7% and 0.83 for the summer–autumn crop, respectively. These results were reaffrmed by the government’s rice areas statistics, with the relative error in area values smaller than 3.3%.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesEuropean Journal of Remote Sensing;49 .- p.39-56-
dc.subjectRice monitoringvi_VN
dc.subjectData fusionvi_VN
dc.subjectDouble logisticvi_VN
dc.subjectVietnamvi_VN
dc.titleA logistic-based method for rice monitoring from multi-temporal MODIS-Landsat fusion datavi_VN
dc.typeArticlevi_VN
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