摘要
利用遥感技术开展湖泊湿地生态水文结构分析对维持其生态服务功能具有重要意义,但受大气状况的影响会造成特定水位下可用高分辨率遥感影像的缺失,而遥感时空融合技术为弥补这一缺陷提供了重要途径。以安徽省升金湖湿地为研究区,根据改进后的时空自适应反射率融合模型(ESTARFM)模拟生成高时空分辨率遥感影像,评价模拟遥感影像的数值精度,进而分析了升金湖湿地的生态水文结构。结果表明:①ESTARFM模型能够有效模拟不同水位下湖泊湿地的高分辨率遥感影像,融合影像与真实影像在近红外波段、短波红外波段反射率的相关系数分别达到0.93和0.91,且输入数据与融合数据的日期间隔越短,模拟精度越高;②基于不同水体指数的水体提取效果表明,新型组合水体指数(NCWI)更适用于湖泊湿地的水体信息提取;③对升金湖湿地生态水文结构分析可知,湿地中心区、适宜活动区和非适宜区分别约占该湿地总面积的32.8%、12.1%和55.1%。
Analyzing the eco-hydrological structure of the lake wetland by remote sensing is of great significance for maintaining its ecological service function.However,the available high-resolution remote sensing images at specific water levels may be absent due to the influence of atmospheric conditions,and the spatial-temporal fusion technology in remote sensing is an important approach to compensate for this deficiency.Shengjin lake wetland in Anhui province was used as the research area in our study.The high spatial-temporal resolution remote sensing images were simulated by the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model(ESTARFM),and the numerical accuracy of simulated images were evaluated by comparing with real Landsat8-OLI images.Moreover,five water indices were evaluated and the optimal water index was selected to extract the water information.Finally,the high-resolution remote sensing images at specific water level were simulated to extract the water information and analyze the eco-hydrological structure of Shengjin lake wetland.The results showed that:(1)ESTARFM could effectively simulate high-resolution remote sensing images.The correlation coefficients between fusion images and real images in near-infrared band and short-wave infrared band reached 0.93 and 0.91 respectively,and the Root Mean Square Error(RMS)were 0.06 and 0.036 respectively.Additionally,the shorter the date interval between the input images and the fusion images is,the higher the sim-ulation accuracy will be;(2)The water extraction results of lake wetland were evaluated by different water indices and the New Combined Water Index(NCWI)had the highest accuracy with Kappa coefficient of 0.95 and overall accuracy of 96.78%;(3)The NCWI was adopted to extract water body information in High-resolution remote sensing images at different water levels.According to the analysis of Eco-hydrological structure of Shengjin lake wetland,the wetland central area,appropriate activity area and inappropriate activity area were approximately accounted for 32.8%,12.1%and 55.1%of the total wetland area respectively.
作者
张晓川
王杰
Zhang Xiaochuan;Wang Jie(State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100101,China;School of Resources and Environmental Engineering,University of Anhui,Hefei 230601,China;Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration,Anhui University,Hefei 230601,China)
出处
《遥感技术与应用》
CSCD
北大核心
2020年第5期1109-1117,共9页
Remote Sensing Technology and Application
基金
安徽高校自然科学研究项目(KJ2019A0045)
安徽省自然科学基金项目(1608085QD82)资助。
关键词
时空融合
生态水文结构
水体指数
湿地中心区
适宜活动区
Spatial and temporal fusion
Eco-hydrological structure
Water indices
Wetland central area
Appropriate activity area
