以土地利用为基础的安徽省生态评价遥感信息模型  

Remote Sensing Information Model for Ecological Quality Assessment in Anhui Province Based on Land Use

作　　者：顾留碗[1,2] 潘立新[1,2] 王帅帅[1,2] 吴见[1,2] 

机构地区：[1]滁州学院地理信息与旅游学院,安徽滁州239000 [2]安徽省地理信息集成应用协同创新中心,安徽滁州239000

出　　处：《水土保持通报》2015年第5期340-344,350,F0003,共7页Bulletin of Soil and Water Conservation

基　　金：安徽省高校自然科学研究重点项目"精细城市数字高程模型关键技术研究"(KJ2015A261);安徽省高校自然科学研究重点项目(KJ2015A265);滁州学院科研项目(2014PY07);滁州学院优秀青年人才基金重点项目(2013RC009)

摘　　要：[目的]建立更科学合理的生态评价遥感信息模型,为研究区的可持续发展提供参考依据。[方法]利用NDVI(归一化植被指数)和像元二分模型监测植被覆盖度作为地表植被覆盖信息的评价指标;用热惯量法反演研究区的土壤含水量作为研究区地表植被覆盖信息与土壤肥力的评价指标;采用目视解译获得土壤质地的编码分布图并进行影像化处理,将土壤中物理性黏粒含量作为评价土壤板结情况指标;利用线性光谱混合分解模型提取研究区的裸地比率作为土地荒漠化程度的评价指标。[结果]从土地利用的角度构建了生态评价指标体系,建立了以像元为单位的生态评价定量化遥感信息模型。[结论]植被覆盖度因子对研究区生态评价的影响程度相对较大;在生态评价过程中本研究新建模型总体评价精度比传统方法提高了15%。[Objective]We aimed to establish a more scientific and reasonable ecology evaluation model of remote sensing information in order to provide scientific basis for sustainable development of study area.[Methods]The NDVI（normalized difference vegetation index）and dimidiate pixel model were used to monitor vegetation coverage as the evaluation index of vegetation coverage information;Thermal inertia method was used to inverse soil moisture content in the study area,and it was taken as the index of vegetation coverage information and soil fertility;Soil texture coding image was obtained by visual interpreting,and the soil physical clay content was taken as the index to evaluate compaction situation;The bare land ratio was extracted by linear spectral mixture decomposition model.[Results]The ecological evaluation index system was built from the perspective of land use,and the ecological evaluation remote sensing information model which unit is pixel was established.[Conclusion]The vegetation coverage largely affects the vegetation coverage of study area;the overall evaluation accuracy of this study is improved by 15% more than the traditional methods.

关 键 词：生态质量评价 遥感信息模型 土地利用 安徽省 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] Q149[自动化与计算机技术—控制科学与工程]