Technical research on agricultural climate-environmental information gridding driven by remote sensing and ground data

The developing GIS and RS technologies make it possible that agricultural climate resources on a large scale can be calculated in tiny grid. Meteorological observatory network in China was set up first using GIS technology based on DEM data and data from all observatories; then the geographical and topographical factors were gridded and parameterized by Kriging interpolation to produce the meteorological data and elevation, slope and aspect data in 1 km×1 km grid. The monthly surface albedo data and atmosphere total transmission rate data in 2001 were reversally developed on national scale using TERRA/MODIS data. The impact on solar radiation from factors of slope, aspect and topographical shadow was analyzed quantitatively based on the DEM data, then solar radiation calculation model in hillside was built and agricultural climate environmental information was gridded. The gridded agricultural climate information can be provided as basic data for agricultural production and scientific research that the data from observatories only cannot do well.