Extracting Eucalyptus information using GF-2 images based on an object-oriented method
Remote sensing data from the Chinese GF-2 satellite, the highest spatial resolution satellite for civil-ian satellites so far, was used to explore satellite performance for forest resource information monitoring. This research took Pinglang County as the study area, analyzed characteristics of different objects, such as spectrum, normalized difference vegetation index (NDVI), and texture; extracted Eucalyptus data based on the method of object-oriented classification using GF-2 satellite data; and then evaluated classification accuracy (Confusion Matrix). Results showed that the object-oriented classification method was an effective technical method for ex-traction of Eucalyptus information with classification precision reaching 81.4% (producer's accuracy) and 86.4% (user's accuracy). Thus, GF-2 satellite data with high temporal and spatial resolution could provide a potential data source for remote sensing monitoring of forest resource information. [Ch, 5 fig. 4 tab. 25 ref.]
国家科技期刊平台
NSTL
万方数据
维普
