摘要
遥感方法可以开展大范围土壤含水率的连续监测,其技术关键是建立土壤含水率的遥感信息模型。针对矿区采动影响特征,提出了应用归一化植被指数NDVI=0.3作为判别高、低植被覆盖条件的阈值;裸地或低植被覆盖条件(NDVI≤0.3)采用基于热惯量理论的表现热惯量法(ATI)、高植被覆盖条件(NDVI>0.3)采用作物供水指数法(VSW I)来反演土壤含水量。并根据采后“三带”高度和植被覆盖情况,将矿区分为6种不同的研究区域,提出应用MOD IS数据和TM/ETM+数据定量反演矿区土壤含水量,进一步提出了在G IS支持下,由非采煤区推算采煤区采矿前的土壤含水量以及分析采矿前后土壤含水量变化规律的理论和方法。
Remote sensing can be used to carry out the continuous monitoring of soil moisture in large scale, with the technical key being the development of a remote sensing information model for soil moisture. In light of the characteristics of the mining effect on the area, it is proposed to use normalized difference vegetation index （NDVI = 0.3 ） as the threshold value to identify high vegetation coverage （ NDVI 〉 0.3 ） and low vegetation coverage conditions. For bare land or low vegetation coverage conditions（ NDVI ≤0.3 ）, apparent thermal inertia （ATI） based on the thermal inertia theory can be used to deduce the soil moisture and for high vegetation coverage, vegetation -soil-water index （VSWI） method. According to the height of the “three belts” and the vegetation conditions after the mining, the mining areas are classified into six regions and MODIS and TM/ETM ＋ data are recommended to be used in the quantitative inversion of the soil moisture. The paper further puts forward the theory and method supported by GIS for deducing the soil moisture in non-coal mining areas before mining and for analyzing the change in soil moisture between before mining and after mining.
出处
《金属矿山》
CAS
北大核心
2007年第2期55-57,共3页
Metal Mine
基金
教育部博士点基金课题(20060290511)
教育部新世纪人才基金项目(NCET-04-0487)
关键词
遥感
土壤含水量
矿区
GIS
Remote Sensing, Soil moisture content, Mining Areas, GIS
