Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data.

ABSTRACT: Knowledge of the area and spatial distribution of paddy rice is important for assessment of food security, management of water resources, and estimation of greenhouse gas (methane) emissions. Paddy rice agriculture has expanded rapidly in northeastern China in the last decade, but there are no updated maps of paddy rice fields in the region. Existing algorithms for identifying paddy rice fields are based on the unique physical features of paddy rice during the flooding and transplanting phases and use vegetation indices that are sensitive to the dynamics of the canopy and surface water content. However, the flooding phenomena in high latitude area could also be from spring snowmelt flooding. We used land surface temperature (LST) data from the Moderate Resolution Imaging Spectroradiometer

SUBMITTER: Zhang G 

PROVIDER: S-EPMC5034934 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature