Application of Integrated NOAA/AVHRR Image of Multi-Source Data in Landscape Mapping: A Case Study of Northeastern China
NOAA/AVHRR data is applied more and more often in landseape mapping in large scale recently for its low cost, high temporal resolution and pantoscopic scan. But the relative low spatial resolution (1.1 km) and distortion of images limited the precision of landscape mapping. Based on prior work, this paper carried out studies on approaches to improve landscape mapping precision using NOAA/AVHRR data by GIS and RS techniques. Northeastern China was selected as a case in this paper. Classification based on integrated NOAA/AVHRR image of multi - source data was applied. The integrated image was composed of three bands. One is integrated digital geographical image , which is stacked by mean precipitation per year, active accumulated temperature more than 10℃ and DEM of study area regarding with the impact of climate and topography on vegetation. One is image of the first principle component of cumulated NOAA/AVHRR image of band 4,2, 1 of four seasons, which can wipe off redundancy in multi - band NOAA/AVHRR data.The third band is cumulated NDVI image of NOAA/AVHRR of four seasons , which is to make information of vegetation prominent. The study area was divided into 6 landscape types in the first level and 16 types in the second level.The classification is coincide with the fact in general. Integrated by multi - source data, classification information of NOAA image was strengthened and the precision of classification was also improved to 70 % from original 50 % .
NOAA/AVHRR datamulti - source data integratinglandscape mappingNortheastern China
NETL
NSTL
万方数据
维普
