城市绿地景观卫星遥感信息解译——以上海市为例

Extract of the Remote Sensing Message of Urban Green Space Landscape ——Shanghai City as the Case Study

根据卫星遥感数据的特点 ,探讨了利用TM数据和SPOT数据对城市绿地景观进行分类的理论和方法 ,并据此 ,以上海市为例 ,把上海市外环线内 6 5 0km2 范围的绿地景观分为公共绿地、居住区绿地、附属绿地、农林植被和自然植被 5大类型 ,并将每一类型的绿地信息提取出来。

The theory and techniques for classification of urban green space landscape by using the data of satellite remote sensing as TM data and SPOT data are discussed.The green space landscape of outside loop of Shanghai is divided into 5 kinds, i.e. public green space, resident green space, auxiliary green space, agriculture forest vegetation, natural vegetation. Every kind of green space landscape is extracted.