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Using Remote Sensing and GIS Techniques to Study Soil Degradation Processes in North Shaanxi Province, China

机译:利用遥感和GIS技术研究陕北土壤退化过程

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Satellite image data and thematic map data were used to provide comprehensive views of surface-bound conditions such as soil and vegetation degradation. The current work applies a computerized parametric methodology, developed by FAO, UNEP and UNESCO to assess and evaluate soil degradation at 1 : 250 000 mapping scale. The study area is located in the arid and semi-arid zone of the northern part of Shaanxi Province in China, a region with considerable agricultural potential; Landsat TM images were utilized to provide recent data on land cover and use of the area. ARC/INFO and Arc-View softwares were used to manage and manipulate thematic data, to process satellite images, and tabular data source. ER mapper software is utilized to derive the normalized difference vegetation index (ND VI) values while field data to estimate soil erodibility (SE) factor. A system is established for rating soil parameters, slope, climate factor and human factor activity. The rating values serve as inputs into a modified universal soil loss equation (USLE) to calculate the present state and risk for soil degradation processes, namely soil wind erosion. The produced maps and tabular data show the risk and the present status of different soil degradation processes. The study area, in general, is exposed to high risk of wind erosion and high hazards of water erosion. Several desertification maps were produced, which reflect the desertification types persisting in the study area. Wind erosion, water erosion, vegetation degradation, physical degradation and salinization are the basic desertification maps, and others are combinations of these basic maps. In terms of statistic analysis, 33. 75 % of the total land area (120.330 0 ha) is considered as sand or sand dune, and not included in our analysis of desertification. About 29. 41 % of the total land area has slight or moderate desertification and 37. 465 % is facing severe desertification.
机译:卫星图像数据和专题图数据用于提供诸如土壤和植被退化等地表条件的综合视图。目前的工作采用了由粮农组织,环境署和教科文组织开发的一种计算机化的参数化方法,以1:250 000的绘图比例评估和评估土壤退化。研究区域位于中国陕西省北部的干旱和半干旱地区,该地区农业潜力巨大。利用Landsat TM图像来提供有关土地覆盖和该地区使用的最新数据。 ARC / INFO和Arc-View软件用于管理和处理主题数据,处理卫星图像和表格数据源。 ER映射器软件用于导出归一化差异植被指数(ND VI)值,而野外数据则用于估算土壤易蚀性(SE)因子。建立了一个对土壤参数,坡度,气候因子和人为因子活动进行评估的系统。额定值用作修改后的通用土壤流失方程(USLE)的输入,以计算土壤退化过程的当前状态和风险,即土壤风蚀。生成的地图和表格数据显示了不同土壤退化过程的风险和现状。通常,研究区域面临风蚀的高风险和水蚀的高风险。制作了数张荒漠化地图,这些地图反映了研究区域持续存在的荒漠化类型。风蚀,水蚀,植被退化,物理退化和盐碱化是基本的荒漠化地图,其他是这些基本地图的组合。从统计分析的角度来看,占土地总面积(120.330 0公顷)的33. 75%被视为沙丘或沙丘,不包括在我们的荒漠化分析中。大约29. 41%的土地面积有轻微或中度的荒漠化,而37. 465%的土地正面临着严重的荒漠化。

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