基于多角度遥感信息的土壤侵蚀模型植被覆盖与管理措施因子C定量反演研究

项目名称： 基于多角度遥感信息的土壤侵蚀模型植被覆盖与管理措施因子C定量反演研究

项目编号： No.31200534

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 林学

项目作者： 林杰

作者单位： 南京林业大学

项目金额： 23万元

中文摘要： 植被是影响土壤侵蚀最敏感的因子之一，USLE、RUSLE和EPIC模型中均将其作为重要参数。因此，各种侵蚀模型中植被覆盖因子的确定是水土保持研究的一个热点问题。近年来众多学者利用植被指数提取植被覆盖度进而估算植被覆盖因子C值，而植被覆盖度仅单一的从水平方面反映植被信息，忽略了植被垂直结构对土壤侵蚀的影响，降低了反演的精度。另一方面，单一方向遥感数据只能提供一个方向的数据，缺乏足够的信息表征地表植被结构，针对上述两个难题，本项目拟选用能高度概括植被水平覆盖与垂直结构特性的叶面积指数作为参量，利用多角度遥感数据及物理模型，建立多角度LAI的反演方法。研究不同植被结构土壤侵蚀速率、植被覆盖管理措施因子C与LAI的响应规律。探索构建基于多角度叶面积指数的植被覆盖与管理措施因子C量化耦合模型，从而实现土壤侵蚀模型中植被覆盖管理措施因子C的多角度定量遥感反演，为区域土壤侵蚀定量遥感监测提供新途径。

中文关键词： 土壤侵蚀；植被覆盖与管理措施因子C；遥感；叶面积指数；多角度

英文摘要： Vegetation cover is one of the most crucial factors affecting the intensity of soil erosion and considered as an important parameter in the soil erosion model such as USLE,RUSLE and EPIC .Therefore, assessment of the vegetation cover and management factor (C factor) is one of the key topic in soil and water loss. In recent years, vegetation Fractional Cover is widely used to estimate C factor for the USLE model. However, soil erosion does not only depend on vegetation coverage, but also on vegetation type and vegetation structures (e.g. canopy cover, shrub, litter fall, plant root). Moreover, uni-directional data from single-angular remote sensing could not describe vegetation structures. To address these questions, We select leaf area index (LAI) as input factor, which integrates vegetation horizontal and vertical structure, then establish the LAI retrieval method based on multi-angular data and physical model. Finally, the response relationship of LAI as function of vegetation cover, C factor and the soil erosion rate will be investigated. Our objective of this project is to inverse the quantity coupling model for the C factor and LAI, so as to inverse vegetation cover and management factor C using multi-angular remote sensing and present a new method for quantifying the regional soil erosion using remote sen

英文关键词： soil erosion；c factor；remote sensing；multi-angular；LAI