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Wetland rice soils have been identified as an important source of GHG emissions at the global scale, particularly methane emissions. As paddy rice cropland in Thailand accounts for 52% of all cultivated land in the country and 6% of the world's rice paddies, accurately estimating emissions from rice paddies has become important in this country for GHG inventories or mitigation policies. This research integrated biogeochemical models with remote sensing technology to advance the DNDC regional application. This research identified spatio-temporal patterns of GHG emissions (CO ₂ , CH ₄ , and N ₂ O) from rice fields in Thailand (Lopburi province). New Method and database system were developed to increase accuracy of DNDC model; moreover, spatial and temporal characteristics of phenological information derived from remote sensing data (MODIS) were used in DNDC to quantify emissions. The results …