A logistic-based method for rice monitoring from multitemporal MODIS-Landsat fusion data. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Son, Nguyen-Thanh; Chen, Chi-Farn; Chang, Ly-Yu; Chen, Cheng-Ru; Sobue, Shin-Ichi; Minh, Vo-Quang; Chiang, Shou-Hao; Nguyen, Lam-Dao; Lin, Ya-Wen
• Is Part Of: European journal of remote sensing. Volume 49:Issue 1(2016)
• Page Start: 39
• Page End: 56
• Publication Date: 2016-01-01
• Subjects: Rice monitoring -- data fusion -- double logistic -- Vietnam; Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.5721/EuJRS20164903
• Languages: English
• ISSNs: 2279-7254

Abstract

Abstract: Information 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 field 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 coefficient 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 reaffirmed by the government's rice areas statistics, with the relative error in area values smaller than 3.3%.