摘要
主要研究遥感湖泊面积亚像元分解提取方法和空间尺度效应,为遥感湖泊面积提取、检验及基于此的局地气候变化分析提供科学的基础数据。在对TM遥感数据进行升尺度处理的基础上,采用混合调制匹配滤波(Mixture Tuned Matched Filtering,MTMF)进行亚像元分解,得到不同空间分辨率的湖泊面积。进而分析不同面积湖泊随遥感空间尺度的变化。结果表明:(1)当通过对高空间分辨率的遥感数据重采样获取多尺度遥感影像进行湖泊面积提取及湖泊空间尺度效应分析时,采用最近邻法比像元聚合重采样法更合理。(2)MTMF亚像元分解法可以用于基于水体光谱特征的遥感湖泊边界提取和面积计算,但边界提取过程中容易将湖泊与河流或其他非湖泊的水体混淆。(3)遥感湖泊面积的提取结果受所用遥感影像空间分辨率的影响较大,影像的空间分辨率越低,湖泊面积提取的偏差越大,尤其对面积较小的湖泊。
In order to study spatial scale effect of lake water body extraction method based on remote sens- ing imagery,Landsat TM images are first upscaled to 100,250,500,1 000,2 000,3 000,4 000 and 5 000 m spatial resolutions from the initial 30 m image.Then Mixture Tuned Matched Filtering（MTMF）method is selected to conduct sub pixels unmixing and threshold method is applied to segment matched filtering score image to extract lake areas.Lastly,the spatial scale effect of remote sensing water body extraction is ana- lyzed for different lakes with different sizes.The results lead to the following conclusions：（1）the nearest neighbor resampling method is proved to be more suitable than the pixel aggregate method for scale up- scaling of remote sensing images with higher spatial resolution in spatial scale effect study on lake areas. （2） MTMF is a good choice for lake area extraction from remote sensing images at different spatial resolutions. But it is difficult to separate rivers or other water bodies from lakes. （3）The lake areas retrieved from up- scaled remote sensing images vary with different spatial resolutions of these images.For one specific lake, the coarser the remote sensing image is, the larger overestimations of the lake area will be obtained, espe- cially for lakes with small area.This work is very important for lake water body mapping with remote sens- ing at different spatial resolutions. It can not only provide useful information to understand the difference between lake areas retrieved from different remote sensing data, but also can help researchers to choose suitable reference data to validate their remote sensing lake areas.It would be very useful for remote sens- ing lake areas application in regional or global environment and climate change study.
作者
曹广真
卢乃猛
侯鹏
李贵才
Cao Guangzhen Lu Naimeng Hou Peng Li Guicai(Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration （LRCVES /CMA ） ,Beijing 100081 ,China State Environmental Protection Key Laboratory of Satellite Remote Sensing ,Satellite Environment Center ,Ministry of Environmental Protection of People＇s Republic of China ,Beijing 100094,China)
出处
《遥感技术与应用》
CSCD
北大核心
2016年第5期864-871,共8页
Remote Sensing Technology and Application
基金
公益性行业(气象)科研专项项目(GYHY201306017、GYHY201106014)资助
