应用地统计学的原理和方法，根据一幅额济纳胡杨林 Landsat TM5遥感图像数据及其粗分类示意图，以及从 Google Earth 中提取对应经纬度范围的高分辨率数据，运用 ENVI、GS ＋、Matlab、ArcGIS 等软件工具，依据三波段、6个特征值，进行遥感图像处理，Morans I 指数计算、分维数、胡杨林空间自相关特征提取、聚类分析等，聚类得到不同类型胡杨林的分布图。并结合实地观测加以改进，以及后续以此方法对不同时期极干旱区额济纳胡杨林自然保护区胡杨林的空间分异进行研究，可较为精准地用以监测和评价该地区胡杨林的生长趋势和现状，指导和规划胡杨林的拯救工程。
Extraction and planning on Populus euphratica forests information based on remote sensing and the geological model
Appling the principle and method of geostatistics,according to a picture of the Populus euphratica forests TM5 Landsat egina remote sensing image data and rough classification schemes,and high resolution data extracted from Google Earth corresponding coordinates 42. 120019 upper limits(N,101. 049693 E;41. 854311 lower N,101. 257656 E),using ENVI,GS + ,Matlab,ArcGIS and so on,according to the third band,six eigenvalue cluster,remote sensing image processing was carried out,Moran’s index,fractal dimension,self correlation feature extraction and Populus euphratica forest spatial clustering etc were analyzed,the distribution of different types of Populus euphratica forest was clustered. Combining with the present situation of the Populus euphratica forests area,to guide and plan on the Populus euphratica forests protection engineering was suggested.
Populus euphratica forestsgeological modelremote sensing image processingthe feature extractionclustering analysis
国家科技期刊平台
NSTL
万方数据
维普
