利用多时相遥感影像与DEM数据的滑坡灾害调查——以新滩地区为例  

Landslide Calamity Research Using Multi-Temporal Remote Sensing Images and DEM Data——A Case Study of Xintan Landslide

作　　者：宋杨[1] 范湘涛 陆现彩[1] 

机构地区：[1]南京大学地球科学系,江苏南京210093 [2]中国科学院遥感应用研究所,北京100101

出　　处：《安徽师范大学学报（自然科学版）》2006年第3期276-280,共5页Journal of Anhui Normal University(Natural Science)

基　　金：国家自然科学基金项目(40003002)

摘　　要：以1985年新滩滑坡为例,利用多时相遥感影像和高程数据以及基础地质资料,综合分析了新滩滑坡的环境背景和灾害影响.通过对比1959年和1986年两个年代的高程信息与TM遥感图像以及地质资料,进行了滑坡敏感性分析,得出新滩地区滑坡前后的高程变化;并编程计算新滩滑坡前后的体积变化量,得到了与史料记载相近的结果.在此实例分析的基础上,综合阐述了利用多时相、高分辨遥感数据对滑坡进行分析与预警调查工作的技术优势.Immediate early gene ZENK is a single copy nuclear gene. It encodes a nuclear transcription factor. The gene is rapidly and transiently activated in many different call types by a variety of extracellular signals such as serum, growth factors, cytokines, and hormones. ZENK protein recognizes and binds to GC-rich sequences in the promoter of target genes with the DNA-binding domain, and regulates their transcription. ZENK is involved in the regulation of cell growth, differentiation and development. Its expression in brain pivotally connected with animal＇ s learning and memory. Recent studies show that ZENK has highly evolutional conservation, which implies that it can be apphed in molecular systematic studies as a new molecular marker.

关 键 词：DEM数据 遥感数据 新滩滑坡 

分 类 号：P642.22[天文地球—工程地质学]