| 以土地利用为基础的安徽省生态评价遥感信息模型 |
| |
| 引用本文： | 顾留碗,潘立新,王帅帅,吴见.以土地利用为基础的安徽省生态评价遥感信息模型[J].水土保持通报,2015,35(5):340-344,350. |
| |
| 作者姓名： | 顾留碗 潘立新 王帅帅 吴见 |
| |
| 作者单位： | 滁州学院 地理信息与旅游学院, 安徽 滁州 239000;安徽省地理信息集成应用协同创新中心, 安徽 滁州 239000;滁州学院 地理信息与旅游学院, 安徽 滁州 239000;安徽省地理信息集成应用协同创新中心, 安徽 滁州 239000;滁州学院 地理信息与旅游学院, 安徽 滁州 239000;安徽省地理信息集成应用协同创新中心, 安徽 滁州 239000;滁州学院 地理信息与旅游学院, 安徽 滁州 239000;安徽省地理信息集成应用协同创新中心, 安徽 滁州 239000 |
| |
| 基金项目： | 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%。
|
| 关 键 词： | 生态质量评价 遥感信息模型 土地利用 安徽省 |
| 收稿时间： | 2014/3/16 0:00:00 |
| 修稿时间： | 2014/4/17 0:00:00 |
Remote Sensing Information Model for Ecological Quality Assessment in Anhui Province Based on Land Use |
| |
| GU Liuwan,PAN Lixin,WANG Shuaishuai and WU Jian.Remote Sensing Information Model for Ecological Quality Assessment in Anhui Province Based on Land Use[J].Bulletin of Soil and Water Conservation,2015,35(5):340-344,350. |
| |
| Authors: | GU Liuwan PAN Lixin WANG Shuaishuai and WU Jian |
| |
| Institution: | Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China;Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China;Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China;Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China;Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China;Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China;Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China;Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China |
| |
| Abstract: | 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. |
| |
| Keywords: | ecological quality assessment remote sensing information model land use Anhui Province |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《水土保持通报》浏览原始摘要信息 |
| 点击此处可从《水土保持通报》下载免费的PDF全文 |
|
