基于遥感的植被覆盖度和水土流失信息提取—以梨树县为例
Information Extraction Based on RS of Vegetation Fraction and Soil and Water Loss—Take Lishu County as an Example
DOI: 10.12677/OJSWC.2017.54004, PDF,    科研立项经费支持
作者: 张晓萌, 温馨, 刘志明*:东北师范大学地理科学学院,长春 吉林;刘建祥:水利部松辽水利委员会,长春 吉林
关键词: 植被覆盖度水土流失GIS梨树县Vegetation Fraction Soil and water Loss GIS Lishu County
摘要: 近年来水土流失的问题也逐步的被人所关注。国内外有关专家从各个层面对水土流失的原因、影响、规律和有效的控制措施进行了一系列研究。遥感数据与GIS分析技术逐渐成为研究水土流失的有效的数据来源与方法。本文采用定量遥感与GIS分析相结合的方法,以梨树县为例,利用六因子模型计算土壤侵蚀强度,利用NDVI结合二分模型计算植被盖度,并根据水利部水力侵蚀分类标准,对土壤侵蚀强度和植被覆盖度进行分级,研究了2016年梨树县的水土流失强度分布情况,以及植被盖度和水土流失分布的关系。
Abstract: In recent years, with the rapid development of urban construction, soil and water loss problems also gradually are paid attention by people. A series of studies have been conducted by experts at home and abroad from all aspects of the reason of soil and water loss, effect, rule and effective control measures. Analysis of remote sensing data and GIS technique has become an effective source of data for the research of soil erosion. Based on the analysis of domestic and foreign re-search urban heat island effect, on the basis of a variety of methods, this paper adopts the method of combining the quantitative analysis of remote sensing with GIS, takes Lishu County as an example, the six factor model is used to calculate the soil erosion intensity, NDVI and binary model are used to calculate vegetation coverage, and according to the hydraulic erosion classification standard of ministry of water resources, the strength of soil erosion and vegetation coverage was graded, 2016 Lishu County soil erosion intensity distribution, and the relationship between vegetation coverage and soil erosion distribution are studied.
文章引用:张晓萌, 刘建祥, 温馨, 刘志明. 基于遥感的植被覆盖度和水土流失信息提取—以梨树县为例[J]. 水土保持, 2017, 5(4): 21-28. https://doi.org/10.12677/OJSWC.2017.54004

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