Study of Observational Environment of Meteorological Station based Remote Sensing——Cases in Six Stations of Anhui Province
Meteorological observations environments and their representatives play important roles in weather forecast and climate change research.Based on high-resolution multi-temporal Landsat satellite data with land-based GIS technology,four Landsat-based land use/land cover types were identified and used around the meteorological station,including：construction land（urban and built-up）,water,cultivated land and vegetation（forest and grass）.The method that using satellite remote sensing survey and assessment of the environment of meteorological station was presented,and then it was applied to study the representativeness of 6 meteorological stations environment in Anhui province.The results showed that temporal and spatial variations of land use types from satellite-based remote sensing could be well applied to surveying and assessing the variations of meteorological stations environment in the meteorological stations buffer zones.The above survey and assessment had good effects with the facts.The effects show that the representativeness of national climatic stations environments in Anhui province were better,while the representativeness of national basic station environment in Hefei city was not good due to the impact of itself urbanization.This work provided convincing evidences that a remote-sensing method for analyzing the representativeness of meteorological stations was proven to be robust and applicable.In addition,it was very useful to identify the reference and urban stations locations that using the landsat images when we evaluated urbanization effect on surface air temperature trends.
NETL
NSTL
万方数据
维普
