Automatic extraction of water body using multi-feature index

doi:10.13474/j.cnki.11-2246.2024.1104

Abstract

Abstract: At present, water extraction is still a semi-automatic method, which has low efficiency and is prone to omissions and extraction errors. In this paper, an automatic water extraction method using multi-feature index is proposed. Vegetation index, water index, improved water index and building land index are used to automatically extract water and non-water samples, and the classifier is trained to realize high-precision and automatic urban water extraction. Four typical experimental areas with different geographical conditions at home and abroad are selected for comparison and analysis with the traditional extraction method. Under this method, high extraction accuracy is achieved in all the four experimental areas, and Kappa coefficient reached above 0.94. Compared with single-band threshold method, Kappa coefficient increases by 7.2% on average. Compared with the water index method, Kappa coefficient increased by 3.8% on average.

Key words: water extraction, multi-source data, water index, automatic extraction, accuracy evaluation

CLC Number:

P237

ZHANG Baowen, ZHAO Zhan. Automatic extraction of water body using multi-feature index[J]. Bulletin of Surveying and Mapping, 2024, 0(11): 21-26.

References

[1] FENG Xiaoming, FU Bojie, PIAO Shilong, et al.Revegetation in China's Loess Plateau is approaching sustainable water resource limits[J].Nature Climate Change, 2016, 6:1019-1022.
[2] CHEN Jinyue, CHEN Shuisen, FU Rao, et al.Remote sensing big data for water environment monitoring:current status, challenges, and future prospects[J].Earth's Future, 2022, 10(2):e2021EF002289.
[3] WEI Zhihao, JIA Kebin, LIU Pengyu, et al.Large-scale river mapping using contrastive learning and multi-source satellite imagery[J].Remote Sensing, 2021, 13(15):2893.
[4] 马海超, 王崇倡, 何昭宁, 等.面向GF-7影像的绿波改正归一化水体指数构建[J].测绘通报, 2023(5):38-43.
[5] HUANG Chang, CHEN Yun, ZHANG Shiqiang, et al.Detecting, extracting, and monitoring surface water from space using optical sensors:a review[J].Reviews of Geophysics, 2018, 56(2):333-360.
[6] DOMENEGHETTI A, SCHUMANN G J P, TARPANELLI A.Preface:remote sensing for flood mapping and monitoring of flood dynamics[J].Remote Sensing, 2019, 11(8):943.
[7] ZHAN Shengan, SONG Chunqiao, WANG Jida, et al.A global assessment of terrestrial evapotranspiration increase due to surface water area change[J].Earth's Future, 2019, 7(3):266-282.
[8] 熊龙海, 何颖清, 刘茉默, 等.面向Sentinel-2影像的亚像元级水体提取方法[J].测绘通报, 2023(11):122-127.
[9] 杨树文, 薛重生, 刘涛, 等.一种利用TM影像自动提取细小水体的方法[J].测绘学报, 2010, 39(6):611-617.
[10] 翟涌光, 张鑫, 冀鸿兰, 等.基于遥感影像的黄河内蒙古段冰-水分类研究[J].干旱区地理, 2022, 45(3):763-773.
[11] 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, 140:23-35.
[12] 徐涵秋.水体遥感指数研究进展[J].福州大学学报(自然科学版), 2021, 49(5):613-625.
[13] ROKNI K, AHMAD A, SELAMAT A, et al.Water feature extraction and change detection using multitemporal landsat imagery[J].Remote Sensing, 2014, 6(5):4173-4189.
[14] 邓开元, 任超.多光谱光学遥感影像水体提取模型[J].测绘学报, 2021, 50(10):1370-1379.
[15] WANG Lingjun, BIE Wanjuan, LI Haocheng, et al.Small water body detection and water quality variations with changing human activity intensity in Wuhan[J].Remote Sensing, 2022, 14(1):200.
[16] YU Xiaolei, GUO Xulin, WU Zhaocong.Land surface temperature retrieval from Landsat 8 TIRS—comparison between radiative transfer equation-based method, split window algorithm and single channel method[J].Remote Sensing, 2014, 6(10):9829-9852.
[17] DRUSCH M, DEL BELLO U, CARLIER S, et al.Sentinel-2:ESA's optical high-resolution mission for GMES operational services[J].Remote Sensing of Environment, 2012, 120:25-36.
[18] QIU Shi, ZHU Zhe, HE Binbin.Fmask 4.0:improved cloud and cloud shadow detection in Landsats 4-8 and Sentinel-2 imagery[J].Remote Sensing of Environment, 2019, 231:111205.
[19] VERMOTE E, JUSTICE C, CLAVERIE M, et al.Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product[J].Remote Sensing of Environment, 2016, 185:46-56.
[20] PHIRI D, SIMWANDA M, SALEKIN S, et al.Sentinel-2 data for land cover/use mapping:a review[J].Remote Sensing, 2020, 12(14):2291.