利用Landsat8遥感影像的苏州市湿地景观健康初步评价

发布时间：2018-06-30 10:19

本文选题：湿地 + 遥感影像　；参考：《湿地科学》2016年05期

【摘要】：利用Landsat 8遥感影像数据,快速提取道路、水体、植物和建设用地等反映湿地景观健康状况的景观要素,并生成评价指标,构建由指标优化函数和综合评定函数组成的湿地景观健康评价模型,实现对苏州市湿地的景观健康评价。评价结果表明,健康等级好和较好的湿地大多位于市郊,这些湿地开放水体面积相对较大,不易受到人类活动的干扰。单块湿地内部的健康状况也有较大差异,湿地内部中心区域的健康状况普遍要比外围区域好。利用遥感影像评价湿地景观健康状况,可以快速完成大面积湿地的景观健康评价,可以为湿地管理部门提供湿地健康评价的应用工具与决策依据,也可以为下一步重要湿地的精细尺度评价打下基础。
[Abstract]:By using Landsat 8 remote sensing image data, the landscape elements such as roads, water bodies, plants and construction land are quickly extracted, and the evaluation indexes are generated. A wetland landscape health evaluation model composed of index optimization function and comprehensive evaluation function was constructed to realize the landscape health evaluation of Suzhou wetland. The results show that most of the wetlands with good health grade and good health are located in the suburbs. The open water area of these wetlands is relatively large and is not easily disturbed by human activities. The health status of the central area of the wetland is generally better than that of the peripheral area. Using remote sensing image to evaluate wetland landscape health can quickly complete the landscape health evaluation of a large area of wetland, and provide the wetland management department with the application tool and decision-making basis for wetland health evaluation. It can also lay a foundation for the fine scale evaluation of important wetlands in the next step.
【作者单位】：苏州科技大学环境科学与工程学院;苏州市湿地保护管理站;
【基金】：国家自然科学基金项目(41301361) 江苏省六大人才高峰资助项目(2014-NY-020) 江苏省环境科学与工程重点实验室开放基金项目(Zd131208) 苏州市科技计划项目(SYN201510)资助
【分类号】：P901;P237

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