Abstract
Spatial information on irrigated area is very important for crops water requirements, agricultural planning, water management, and climate changes mitigation. It is challenging to map irrigated rice areas by images classification methods due to the spectral similarity between with and without irrigation. In this study, we developed an index for potential irrigated rice area map for three different seasons by using remote sensing-based evapotranspiration (MOD16A2), precipitation (GSMaP) data from 2001 to 2018 and local climate adjusted CROPWAT based rice crop coefficient data. By using the index, classified the rice are withing three different types of irrigated area; (i) irrigated, (ii) rainfed and (iii) supplementary irrigated rice area for three different rice growing season of Bangladesh. The result compared with the National statistical and others relevant irrigated area data. It’s found, the dry season irrigated rice (Boro) area shows a good relationship with the national statistical data, but the wet seasons amon and aus irrigated rice areas shows comparatively low agreement.
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