在GIS支持下利用MODIS数据监测多种作物和果树种植面积

MODIS数据以其时间分辨率高、监测范围大、可免费接收、获取方便及时等优势,已经成为土地利用研究的重要信息源。以河北省38°N带为研究区,选取不同时相的MODIS数据,分别计算出NDVI,根据植被的生长过程中叶面积的变化规律,观察其NDVI的变化,建立分类规则,确定出主要植被的种植区域。在GIS软件的支持下,利用分类精度为91%的TM数据分类结果从提取区域的面积和形状两个方面对MODIS数据的分类结果进行像元尺度上的精度分析。

Vegetation Classification Based on MODIS Data and the Accuracy Evaluation in the Pixel Scale

MODIS data,with its advantages of high temporal resolution,larger-scale monitoring,free receipt,and convenient and timely obtainment,has become the vital information resource of the land-use research.This research,taking the zone of 38 degree of latitude in Hebei province as the experimental area,calculates the NDVI of MODIS data,according to the regular patterns of the leaf area while they growing,observe the change of the Normalized Difference Vegetation Index(NDVI),establishes the regulation of the classification and derives the area of the main vegetation.Under the support of GIS software,in the factors of area and shape of the region which was abstracted,we evaluated the accuracy of MODIS data classification comparing with TM data classification whose accuracy is 91% in the pixel scale.