Extraction and distribution characteristics analysis of photovoltaic power stations in Weining County based on GF satellite images
Taking Weining County as an example,this paper analyzed the spectral,texture,and geometric features of photovoltaic power stations based on the image data of the GF-Ⅰ satellite WFV sensor,selected appropriate classification feature parameters to establish ob-ject-oriented photovoltaic power station extraction rules,and combined them with the optimal segmentation parameters to complete the extraction and accuracy evaluation of photovoltaic power stations in Weining County,and statistically analyzed the distribution character-istics of completed photovoltaic power stations in Weining County based on the extraction results.The results indicate that this method can effectively complete the identification of photovoltaic power stations in the Weining County.The classification quality reaches an ex-cellent level,which can quickly and accurately extract photovoltaic power stations on a county basis,providing a certain reference and theoretical basis for the construction and healthy development monitoring of photovoltaic power stations.Satellite monitoring shows that the completed photovoltaic power station in Weining County covers an area of 26.98 km2,mainly concentrates in the northwest and southern regions of Weining County.The elevation of the power station is concentrated between+1 629 and+2 742 m,with a gentle slope mainly towards the east.
photovoltaic power stationGF satellite imagesobject-oriented classification method
万方数据
维普
