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Remote Sensing for Natural Resources    2024, Vol. 36 Issue (4) : 117-123     DOI: 10.6046/zrzyyg.2023227
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Rapid monitoring of surface water based on remote sensing data and DeepLabv3+ model
KANG Hui1,2(), DOU Wenzhang1,3, HAN Lingyi4(), DING Ziyue4, WU Liangting4, HOU Lu5
1. School of Software and Microelectronics, Peking University,Beijing 102600, China
2. China Mobile Group Beijing Company Limited, Beijing 100007, China
3. Peking University Institute for Strategy Studies, Beijing 100091,China
4. China Areo Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
5. School of Information and Engineering,Beijing University of Posts and Telecommunications, Beijing 100876, China
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Keywords surface water      GF-1 satellite      DeepLabv3+      rapid remote sensing monitoring      accuracy evaluation     
ZTFLH:  TP79  
Issue Date: 23 December 2024
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Hui KANG
Wenzhang DOU
Lingyi HAN
Ziyue DING
Liangting WU
Lu HOU
Cite this article:   
Hui KANG,Wenzhang DOU,Lingyi HAN, et al. Rapid monitoring of surface water based on remote sensing data and DeepLabv3+ model[J]. Remote Sensing for Natural Resources, 2024, 36(4): 117-123.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023227     OR     https://www.gtzyyg.com/EN/Y2024/V36/I4/117
Fig.1  Flowchart of the proposed method
Fig.2  Network structure of DeepLabv3+
Fig.3  Visual interpretation of real reference examples
Fig.4  Location of study area
Fig.5  Comparison of extraction results by different methods
方法 真实结
果/像元		 识别结果/像元 P/% R/% F1/%
水体 非水体
本文方法 水体 17 899 511 363 214 99.22 98.01 98.61
非水体 140 276 53 153 143
随机森林 水体 17 180 375 1 082 350 97.38 94.07 95.70
非水体 461 508 52 831 911
最大似然法 水体 17 870 609 392 116 94.73 97.85 96.27
非水体 993 349 52 300 070
支持向量机 水体 17 427 777 834 948 90.27 95.43 92.78
非水体 1 878 229 51 415 790
Tab.1  Comparison of extraction accuracy of different methods
年份 面积 年份 面积
2013年 99.222 6 2018年 142.230 1
2014年 94.640 5 2019年 158.058 0
2015年 76.375 2 2020年 143.965 6
2016年 93.817 3 2021年 153.735 8
2017年 118.956 1 2022年 171.911 7
Tab.2  Statistics of surface water area in Miyun from 2013 to 2022 (km2)
Fig.6  Surface water extraction results in Miyun from 2013 to 2022
Fig.7  Variation trend of surface water area in Miyun from 2013 to 2022
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