摘要
本文介绍应用陆地卫星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图象进行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主分量精确配准后，以Ｈｙｐｅｔ－ｂｏｘｅｓ分类器进行温度分类，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低湿地调查制图。
A method of soil moisture and wetland monitoring and mapping at 1:50,
000scale using the satellite remote sensing data is described. Two TM images acquiredon oct.
18, 1984 and Mar. 6, 1989 respectively were processed. The 3￣d principalcomponents (PC3)
resulted from K-L transformation of TM images of two dateswere registered one to the other.
Then a classification of land surface wetness wascarried out by a hyperboxes classifier and
five types of wetness were obtained:water body the land always wet, the land wet only in
summer, the land wet onlyin winter, the land always dry. The results were checked against
fields with a verygood agreement . It meant that this method was suitable for mapping and
monito-ting of wetlands and soil moisture changes as well.
出处
《土壤学报》
CAS
CSCD
北大核心
1995年第4期377-382,共6页
Acta Pedologica Sinica
关键词
监测
土壤
湿度
卫星遥感
制图
低湿地
Monitoring, Soil moisture,
Satellite remate sensing
