{"product_id":"advances-in-modeling-soil-erosion-risk-9781835452257","title":"Advances in modeling soil erosion risk","description":"\u003cp\u003eSoil erosion is particularly affected by climate change, especially increases in the amount and intensity of rainfall. The Revised Universal Soil Loss Equation (RUSLE2) developed by USDA-ARS has been developed to quantify soil erosion. However, it does not consider current climate and topographic conditions for estimating those factors, including the rainfall erosivity factor (R-factor) which is particularly significant given more frequent extreme storm events resulting from climate change. This chapter reviews developing a modified RUSLE model using ArcGIS ModelBuilder automation to develop processes for improving USLE factors so that soil erosion quantification can be estimated more precisely in both temporal and spatial dimensions.\u003c\/p\u003e","brand":"Sudhanshu S. Panda","offers":[{"title":"Default Title","offer_id":48281209536763,"sku":"9781835452257","price":32.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0779\/3917\/9771\/files\/9781835452257.jpg?v=1772487182","url":"https:\/\/indiepubs.com\/products\/advances-in-modeling-soil-erosion-risk-9781835452257","provider":"IndiePubs","version":"1.0","type":"link"}