摘要
在喀斯特地区不同背景条件下,采用光谱特征与数学分解模型相结合的方法对石漠化信息进行分类,可提高对石漠化智能分类的准确性和时效性。以贵州省毕节市鸭池示范区为例,利用不同平台和波段遥感数据,在3S技术支持下进行处理、分类、解译和分析喀斯特石漠化的空间分布状况与特征,对石漠化光谱特征进行定量研究,掌握不同条件和不同影响因子下石漠化光谱特征的变化规律,得出了该区石漠化的空间分布与状况特征,可为其它地区石漠化遥感智能解译提供参考。
This article attempts to get the information on rocky desertification under different background conditions in the karst area using spectral features and mathematical method, so as to improve the accuracy and timeliness of desertification intelligent classification. The Yachi demonstration area is taken as a study area and different platforms and different bands of remote sensing data are used. Based on the 3S technologies, the spatial distribution and characteristics of the karst area are summarized through processing, analysis, and classification. A quantitative research is carried out to understand the spectral characteristics in dif- ferent conditions and diversities. Results from the study provide some references for other areas to develop the interpretation of remote sensing intelligent desertification.
出处
《水土保持通报》
CSCD
北大核心
2008年第6期95-97,共3页
Bulletin of Soil and Water Conservation
基金
国家"十一五"重大科技支撑计划(2006BAC01A09)
贵州省"十一五"攻关项目(黔科合GY字[2007]3018号)资助
关键词
喀斯特石漠化
不同背景条件
遥感解译
光谱特征
karst rocky flesertification
different conditions
remote sensing interpreter
spectral feature
