贵溪市植被资源遥感调查和综合气候区划

应用中巴资源一号卫星遥感数据、地理信息系统和全球定位系统技术，结合常规资料、野外考察等手段，采用数字化图像处理和分类技术，进行了贵溪市土地利用类型、水资源分布和森林植被等环境资源遥感解译。在通用的遥感图像分类方法的基础上，将GPS采样数据参与到各类资源遥感解译标志的建立和分类中，并留出样本做精度检验，提高了环境资源遥感解译的客观性和效率。根据中国亚热带东部丘陵山区气候考察资料和贵溪所处武夷山区17年的垂直气候观测资料，应用统计学方法建立了12种气候要素和资源随海拔高度变化模型。应用1:25万数字化地理数据，经三角网插值，生成20 m网格精度的数字高程图（DEM），通过地学模型，将气候要素（资源）计算到同样的网格点上。最后，应用GIS中栅格图层的空间分析方法，将环境资源遥感解译结果、气候资源、区划指标等计算到20 m分辨率的网格点上，应用逻辑算子进行气候分区判断，得到了优质双季晚稻适宜播种期等7种作物的综合区划，并对区划结果进行了分析。

Remote Sensing Investigation of Environmental Resources and Comprehensive Climate Division

Based on the CBERS1/CCD data, GIS and GPS techniques, and combined with conventional data and field investigation, digital image processing and classifying methods are applied to interpret resources of landuse, water and forest in Guixi city, Jiangxi Province. Some GPS locating data are chosen to interpret image, others remaining to check up image-classified results, which improved the objectivity and efficiency of interpreting image. By use of section observational data in subtropical mountainous regions and locating data for seventeen years in Guixi mountain region, twelve models are built to describe changes of climate factors with heights. On the basis of interpolating digital counter onto each 20-meter grid, the climate resources in the same grid are calculated. Consequently, seven kinds of crop's comprehensive climate division are given by means of logical arithmetic of GIS space analysis models. Also the results of divisions are analyzed.