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首页> 外文期刊>International Journal of Geomatics and Geosciences >Soil erosion vulnerability mapping using remote sensing based MMF rule in parts of Coimbatore and Tiruppur districts – Tamil Nadu, India
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Soil erosion vulnerability mapping using remote sensing based MMF rule in parts of Coimbatore and Tiruppur districts – Tamil Nadu, India

机译:Coimbatore和Tiruppur部分地区(印度泰米尔纳德邦),基于遥感MMF规则的土壤侵蚀脆弱性制图

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Soil erosion assessment is a capital-intensive and time-consuming exercise. A number of parametric models have been developed to predict soil erosion prone zone at structural terrains, even though Universal Soil Loss Equation (USLE), and its updated or modified versions are most widely used empirical equation for estimating annual soil Loss. Morgan, Morgan and Finney 1984 proposed a model on field base information and estimation had yielded point-based accuracy values. But on carrying out its original form in conventional method like Remote Sensing (RS), it is quite varying in limits on measuring the hydrologic parameters on spatial scales .Even Some of the inputs of the model such as cover factor and to a lesser extent supporting conservation practice factor and soil erodibility factor can also be successfully derived from remotely sensed data.
机译:水土流失评估是一项资本密集且耗时的工作。尽管通用土壤流失方程(USLE)及其更新或修改版本是估计年度土壤流失的最广泛使用的经验方程式,但已经开发出许多参数模型来预测结构性地形上的土壤侵蚀易发区。 Morgan,Morgan和Finney 1984提出了一个基于现场基础信息的模型,估计得出了基于点的精度值。但是,在以传统方法(例如遥感(RS))执行其原始形式时,它在测量空间尺度上的水文参数方面存在很大差异。即使模型的某些输入(例如覆盖因子),在较小程度上也支持保护实践因素和土壤易蚀性因素也可以从遥感数据中成功得出。

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