低湿地与土壤湿度的卫星遥感监测与制图

本文介绍应用陆地卫生ＴＭ图象数据监测法国莱茵河谷地土壤湿度变化，绘制１：５０，０００低湿地分布图的技术方法。对夏、秋两个时相的ＴＭ图像进行Ｋ－Ｌ变换等应用处理，获得的第３主分量集中了土壤湿度差异的信息。把两个时相的第３主人量精确配准后，以Ｈｙｐｅｒｂｏｘｅｓ分类器进行湿度分类，分出水体、恒湿地、夏秋季潮湿地、冬春季潮湿地、恒干地等５个湿度类别。经实地检验准确可信，表明此方法适合于土壤湿度变化监测与

MONITORING AND MAPPING OF WETLANDS AND SOIL MOISTURE BY SATELLITE REMOTE SENSING

A method of soil moisture and wetland monitoring and mappiag at 1:50,000 scale using the satellite remote sensing data is described.Two TM images acquired on oct.18,1984 and Mar.6,1989 respectively were processed.The 3d principal components (PC3) resulted from K-L transformation of TM images of two dates were registered one to the other.Then a classification of land surface wetness was carried out by a hyperboxes classifier and five types of wetness were obtained: water body the Iand always wet,the land wet only in summer,the land wet only in winter,the land always dry.The results were checked against fields with a very good agreement.It meant that this method was suitable for mapping and monitoring of wetlands and soil moisture changes as well.