一种稳定阈值的湖泊水体信息提取方法

doi:10.18402/resci.2019.04.15

摘要/Abstract

摘要： 针对提取水体信息时阈值设定模糊问题,提出一种具有稳定阈值的在反射率为0时水体与其他地物分离度最好的自动水体信息提取方法。利用不同时间段的艾比湖、博斯腾湖、鄱阳湖、阿拉湖的Landsat 8卫星影像为数据源,通过分析水体与不同地物的反射率及主分量特征,构建一种新型水体指数——温度植被水体指数（Temperature Vegetation Water Index, TVWI）,利用监督分类得到的水体面积为参考值,分别与传统水体提取方法进行对比验证。结果表明：①利用TVWI分别对2013年与2016年的艾比湖进行水体信息提取,总体精度分别为98.51%、97.33%,博斯腾湖为99.66%,鄱阳湖为98.06%,阿拉湖为99.72%,总体精度较高;②在TVWI指数中,水体与非水体区域区分度较高,在水体边界处的非水体区域出现极高的噪音值,而水体区域值大于0;③通过普适性分析得知,TVWI对湖泊适应性较好,对不同类型的湖泊水体提取精度均较高。因此,利用TVWI进行高精度无模糊阈值设定的水体信息提取是可行的。

关键词: 水体提取, 阈值, 温度植被水体指数, 噪音, 艾比湖, 博斯腾湖, 鄱阳湖, 阿拉湖

Abstract: Considering that the traditional water indices have no exact threshold value to distinguish water body from other land cover types, in this study a novel method was proposed, in which the reflectance value “0” is used as a segmentation line to distinguish water body from other land cover types. Landsat 8 satellite data of Ebinur Lake, Bosten Lake, Poyang Lake, and Alakol Lake from different years were acquired and used to analyze the reflectance value and spectral and principal component space features of water and other land cover types. A novel water index named temperature vegetation water index (TVWI) was constructed. Maximum likelihood classification was used to extract water areas as the ground truth data. Compared with traditional water extraction indices, the results indicate that the overall TVWI water extraction accuracy in May 2013 and May 2016 is 98.51% and 97.33%, and Kappa coefficients are 0.97 and 0.95 correspondingly in Ebinur Lake. The overall TVWI water extraction accuracy in Bosten Lake is 99.66%, Poyang Lake is 98.06%, and Alakol Lake is 99.72%. The overall accuracy is better than the traditional methods, which implies that extracting water information by using TVWI method is feasible. In TVWI the reflectance value of 0 is the segmentation value to classify water and non-water areas. There are higher noise values at the lakefront but the values of water area are higher than 0, so there is a visible distinction between water and other land cover types. As a result, water information can be easily extracted by using the TVWI method. In conclusion, extracting Ebinur water information using the Landsat 8 satellite data from 29 May 2013 and 21 May 2016 yielded better result, and the overall accuracy and Kappa coefficient are the best compared with the three traditional water indices that we compared. The adaptation of TVWI to different lakes was analyzed and the accuracy of water extraction in different types of lake is higher than other methods.

Key words: water information extraction, threshold, Temperature Vegetation Water Index (TVWI), noise value, Ebinur Lake, Bosten Lake, Poyang Lake, Alakol Lake

朱小强, 丁建丽, 夏楠, 郭家新, 张淑霞, 杨童童, 王敬哲, 李晓航. 一种稳定阈值的湖泊水体信息提取方法[J]. 资源科学, 2019, 41(4): 790-802.

ZHU Xiaoqiang, DING Jianli, XIA Nan, GUO Jiaxin, ZHANG Shuxia, YANG Tongtong, WANG Jingzhe, LI Xiaohang. Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping[J]. Resources Science, 2019, 41(4): 790-802.

参考文献

[1] Roberts N, Taieb M, Barker P, et al.Timing of the Younger Dryas event in East Africa from lake-level changes[J]. Nature International Weekly Journal of Science, 1993, 366(6451): 146-148.
[2] 沈颜奕, 陈星. 城市湖泊生态系统健康评价与修复研究[J]. 水资源与水工程学报, 2017, 28(2): 85-88.
[Shen Y Y, Chen X.Study on health assessment and restoration of urban lake ecosystem[J]. Journal of Water Resources and Water Engineering, 2017, 28(2): 85-88.]
[3] 陈玥, 管仪庆, 苗建中, 等. 基于长期水文变化的苏北高邮湖生态水位及保障程度[J]. 湖泊科学, 2017, 29(2): 398-408.
[Chen Y, Guan Y Q, Miao J Z, et al.Determination of the ecological water-level and assuring degree in the Lake Gaoyou, northern Jiangsu with long-term hydrological alteration[J]. Journal of Lake Sciences, 2017, 29(2): 398-408.]
[4] 王海君, 许捍卫, 金文韬, 等. 基于Landsat-8遥感影像的鄱阳湖水边线提取方法研究[J]. 测绘与空间地理信息, 2016, 39(1): 144-146.
[Wang H J, Xu H W, Jin W T, et al.Study on the extraction of Poyang lake shoreline based on Landsat-8 remote sensing image[J]. Geomatics & Spatial Information Technology, 2016, 39(1): 144-146.]
[5] 邓劲松, 王珂, 邓艳华, 等. SPOT-5卫星影像中水体信息自动提取的一种有效方法[J]. 上海交通大学学报(农业科学版), 2005, 23(2): 198-201.
[Deng J S, Wang K, Deng Y H, et al.An effective way for automatically extracting water body information from SPOT-5 images[J]. Journal of Shanghai Jiaotong University(Agricultural Science), 2005, 23(2): 198-201.]
[6] 张毅, 陈成忠, 吴桂平, 等. 遥感影像空间分辨率变化对湖泊水体提取精度的影响[J]. 湖泊科学, 2015, 27(2): 335-342.
[Zhang Y, Chen C Z, Wu G P, et al.Effects of spatial scale on water surface delineation with satellite images[J]. Journal of Lake Sciences, 2015, 27(2): 335-342.]
[7] Goodchild M F, Haining R P.GIS and spatial data analysis: Converging perspectives[J]. Papers in Regional Science, 2003, 83(1): 363-385.
[8] 陈建军, 周成虎, 程维明. GIS中面状要素矢量栅格化的面积误差分析[J]. 测绘学报, 2007, 36(3): 344-350.
[Chen J J, Zhou C H, Cheng W M, et al.Area error analysis of vector to raster conversion of areal feature in GIS[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(3): 344-350.]
[9] 宋平, 刘元波, 刘燕春. 陆地水体参数的卫星遥感反演研究进展[J]. 地球科学进展, 2011, 26(7): 731-740.
[Song P, Liu Y B, Liu Y C.Advances in satellite retrieval of terrestrial surface water parameters[J]. Advances in Earth Science, 2011, 26(7): 731-740.]
[10] 李文庆, 姜琦刚, 邢宇, 等. 基于Google Earth的ETM+遥感图像自动分类方法[J]. 江西农业学报, 2012, 24(12): 158-163.
[Li W Q, Jiang Q G, Xing Y, et al.Automatic classification method of ETM + Remote sensing images based on Google Earth[J]. Acta Agriculturae Jiangxi, 2012, 24(12): 158-163.]
[11] 陈文倩, 丁建丽, 李艳华, 等. 基于国产GF-1遥感影像的水体提取方法[J]. 资源科学, 2015, 37(6): 1166-1172.
[Chen W Q, Ding J L, Li Y H.Extraction of water information based on China-made GF-1 remote sense image[J]. Resources Science, 2015, 37(6): 1166-1172.]
[12] 曲伟, 路京选, 李琳, 等. 环境减灾小卫星影像水体和湿地自动提取方法研究[J]. 遥感信息, 2011, (4): 28-33.
[Qu W, Lu J X, Li L, et al.Research on automatic extraction of water bodies and wetlands on HJ satellite CCD images[J]. Remote Sensing Information, 2011, (4): 28-33.]
[13] McFeeters S K. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996, 17(7): 1425-1432.
[14] 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报, 2005, 9(5): 589-595.
[Xu H Q.A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index (MNDWI)[J]. Journal of Remote Sensing, 2005, 9(5): 589-595.]
[15] 邓书斌, 陈秋锦, 杜会建. ENVI遥感图像处理方法[M]. 北京: 高等教育出版社, 2014.
[Deng S B, Chen Q J, Du H J.ENVI Remote Sensing Image Processing Methods[M]. Beijing: Higher Education Press, 2014.]
[16] Moller-Jensen L.Knowledge-based classification of an urban area using texture and context information in Landsat-TM imagery[J]. Photogrammetric Engineering & Remote Sensing, 1990, 56(6): 899-904.
[17] 余国营. 湿地研究的若干基本科学问题初论[J]. 地理科学进展, 2001, 20(2): 177-183.
[Yu G Y.Views of some basic problems on wetland researches[J]. Progress in Geography, 2001, 20(2): 177-183.]
[18] 阿多, 赵文吉, 宫兆宁, 等. 一种基于TVDI模型的边界提取方法研究[J]. 河南师范大学学报(自然版), 2015, 43(2): 158-163.
[A D, Zhao W J, Gong Z N, et al. A wetland boundary information extraction method based on the inversion of soil moisture[J]. Journal of Henan Normal University(Natural Science Edition), 2015, 43(2): 158-163.]
[19] Rozenstein O, Qin Z H, Derimian Y, et al.Derivation of land surface temperature for landsat-8 TIRS using a split window algorithm[J]. Sensors, 2014, 14(4): 5768-5780.
[20] 覃志豪, Minghua Z, Karnieli A, et al.用陆地卫星TM6数据演算地表温度的单窗算法[J]. 地理学报, 2001, 56(4): 456-466.
[Qin Z H, Minghua Z, Karnieli A, et al.Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data[J]. Acta Geographica Sinica, 2001, 56(4): 456-466.]
[21] 张喆, 丁建丽, 鄢雪英, 等. 基于温度植被干旱指数的土库曼斯坦典型绿洲干旱遥感监测[J]. 生态学杂志, 2013, 32(8): 2172-2178.
[Zhang Z, Ding J L, Yan X Y, et al.Remote sensing monitoring of drought in Turkmenistan oasis based on temperature/vegetation drought index[J]. Chinese Journal of Ecology, 2013, 32(8): 2172-2178.]
[22] 刘立文, 张吴平, 段永红, 等. TVDI模型的农业旱情时空变化遥感应用[J]. 生态学报, 2014, 34(13): 3704-3711.
[Liu L W, Zhang W P, Duan Y H, et al.Terrain corrected TVDI for agricultural drought monitoring using MODIS data[J]. Acta Ecologica Sinica, 2014, 34(13): 3704-3711.]
[23] Sandholt I, Rasmussen K, Andersen J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002, 79(2-3): 213-224.
[24] Carlson T N, Gillies R R, Schmugge T J.An interpretation of methodologies for indirect measurement of soil-water content[J]. Agricultural & Forest Meteorology, 1995, 77(3): 191-205.
[25] Goetz S J.Multi-sensor analysis of NDVI, surface temperature, and biophysical variables at a mixed grassland site[J]. International Journal of Remote Sensing, 1997, 18(1): 71-94.
[26] 周小莉, 郭加伟, 刘锟铭. 基于陆地成像仪影像和主成分分析的水体信息提取: 以鄱阳湖区为例[J]. 激光与光电子学进展, 2016, 53(8): 83-90.
[Zhou X L, Guo J W, Liu K M.Water body information extraction based on operational land imager imagery and principal component analysis: A case study on the Poyang Lake region[J]. Lasers & Optoelectronics Progress, 2016, 53(8): 83-90.]
[27] 孟伟灿, 朱述龙, 曹闻, 等. 综合水体指数的创建[J]. 测绘科学, 2013, 38(4): 134-137.
[Meng C W, Zhu S L, Cao W, et al.Establishment of synthetical water index[J]. Science of Surveying and Mapping, 2013, 38(4): 134-137.]
[28] Feyisa G L, Meilby H, Fensholt R, et al.Automated water extraction index: A new technique for surface water mapping using landsat imagery[J]. Remote Sensing of Environment, 2014, 140(1): 23-35.
[29] Zhang F, Tiyip T, Kung H T, et al.Improved water extraction using Landsat TM/ETM+ Images in Ebinur Lake, Xinjiang, China[J]. Remote Sensing Applications Society & Environment, 2016, 4: 109-118.