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运用遥感 (RS)和地理信息系统 (GIS)技术来进行中国陕西省北部地区的土壤水蚀风险评估。综合运用RS和GIS技术以及修订的通用土壤流失方程式 (简称RUSLE)来定量化地评估土壤侵蚀。建立了一个关于土壤侵蚀、斜坡长度 /坡度、降雨侵蚀和人类活动的评估系统。评估值输入修订的世界土壤亏损方程式中 ,用来计算土壤退化进程的风险 ,土壤退化又叫土壤侵蚀。利用榆林和靖边两地区的 1 987年和 1 999年的陆地卫星TM传感图像来制作研究区土地使用 /覆盖情况的地图 ,然后用这些地图产生RUSLE方程中的人类活动因子。使用ERmapper/Info两个软件来管理和处理主要数据 ,及处理卫星图像和表格数据源。根据统计分析 ,3985 .9km2 (33.1 2 %)的土地面积有轻微到中度的土壤侵蚀 ,2 94 1 .4km2 (2 4 .4 4 %)的土地面积有高的土壤侵蚀 ,总土地面积中 35 2 2 .1km2 (2 9.2 7%)正面临着很高的土壤侵蚀风险 ,总体上来说 ,研究区处于高的土壤水蚀风险中
Remote sensing (RS) and geographic information system (GIS) techniques were used to assess the risk of soil erosion in the northern part of Shaanxi Province, China. Comprehensive use of RS and GIS techniques and a revised universal soil loss equation (RUSLE) to quantitatively assess soil erosion. An assessment system has been established for soil erosion, slope length / slope, rainfall erosion and human activities. The estimates are entered in the revised world soil loss equation, which is used to calculate the risk of soil degradation processes. Soil degradation is also called soil erosion. Maps of land use / cover for the study area were generated using land satellite TM sensing images from 1987 and 1999 in both Yulin and Jingbian areas and then used to generate human activity factors in the RUSLE equation. Use ERmapper / Info software to manage and process your primary data and to process satellite imagery and tabular data sources. According to the statistical analysis, there are slight to moderate soil erosion in the land area of 3985.9 km2 (33.1 2%) and high soil erosion in 2 94 1.4 km2 (24.44% of the total land area 35 2 2 .1km2 (2 9.27%) is facing a high risk of soil erosion. As a whole, the study area is at high risk of soil erosion