基于像元二分模型的淮河上游植被覆盖度遥感研究

Vegetation Coverage in Upper Huaihe River Basin Based on Binary Pixel Model of Remote Sensing

在分析国内外植被覆盖度遥感估算方法的基础上,选用NDVI像元二分模型,利用"北京一号"小卫星多光谱数据,结合淮河上游流域实际情况,设计了模型应用的技术路线,对研究区植被覆盖度进行了精确估算。利用目估法和照相法对估算结果进行实地验证和分析。结果表明,模型相关系数达到了0.818,研究区内平均植被覆盖度为58.1%,呈现北部低南部高的γ型空间分布。

Based on the analysis of estimation methods for vegetation coverage at home and abroad,a technological route of model application is designed to estimate vegetation coverage in the upper reaches of Huaihe River.The study is conducted by using binary pixel model and ＂Beijing-1＂ micro-satellite multi-spectral data under consideration of the situation of the study area.Then the estimated results are validated and analyzed by using ocular method and photographic method.Results show that the model correlation coefficient is 0.818.The average vegetation coverage in the study area is 58.1% and presents a γ-type spatial distribution which is low in the north and high in the south.