基于尺度化SMMI的神东矿区土壤湿度变化遥感分析

 为消除遥感数据时相差异的影响,在土壤湿度监测指数(SMMI)和尺度化归一化植被指数S-NDVI 的基础上,构建了尺度化土壤湿度监测指数S-SMMI。利用1989-2013 年神东矿区多时相TM/ETM+/OLI 及HJ-CCD 影像band3、band4 反射率数据,监测分析了神东矿区25 年来土壤湿度的时空变化特点及其与地表高程、NDVI 之间的关系。结果表明:神东矿区25 年来土壤湿度总体呈上升趋势,与矿区植被的改善成呈相关;土壤湿度和NDVI 的分布均受到了区域地形的影响,低高程区的土壤湿度与NDVI 对高程变化更为敏感;与土壤湿度为16%~32%时的NDVI 变化相比,土壤湿度小于15%时NDVI 变化更为敏感;而且,地势低洼处的人类活动对NDVI 的影响较大。

Soil moisture monitoring in Shendong mining area based on scaled SMMI

In order to eliminate the influence of remote sensing images from several days, scaled SMMI (S-SMMI) is constructed based on soil moisture monitoring index (SMMI) and scaled NDVI (S-NDVI). Based on S-SMMI, the reflectance of band3 and band4, derived from multi-temporal TM/ETM+/OLI and HJ-CCD images between 1989 and 2013, is applied to monitoring the spatio-temporal features of soil moisture in the Shendong mining area. The relationship between soil moisture, elevation and NDVI in the Shendong mining area are also evaluated. The results indicate that the soil moisture condition has been improved for twenty-five years and there is a positive relationship between soil moisture and the improvement of vegetation coverage. The distributions of soil moisture and NDVI are influenced by elevation. Soil moisture and NDVI, in the area with low elevation, are more sensitive to the change of elevation. Compared with the change of NDVI with soil moisture between 16% and 32%, NDVI is more sensitive to the change of soil moisture when it is less than 15%. Moreover, vegetation in low-lying area is more easily influenced by human activities.