Rongjun Qin
Jung-Kuan Liu
Ethan J. Shavers
Shaowen Wang
Nattapon Jaroenchai
Philip T. Thiem
Larry Stanislawski
2025
<p>Monitoring the extent of surface water features (hydrography), accurately storing them in databases, and representing them on topographic maps are essential for various applications such as navigation and policy-making for legislative boundaries and permitting. In this context, hydrographic data includes features that generally have water present or image data showing signs that water is forming a terrain channel, and which would be included in 1:24,000 or larger scale topographic maps. In addition, reliable hydrographic data play a critical role to help manage environmental risks such as droughts, floods, fires, and landslides, as well as monitoring biological resources and pollutants. Inaccuracies in hydrography data can lead to modelling inaccuracies, resulting in economic, social, and environmental risks. However, generating sufficiently accurate high-resolution (HR) hydrography and terrain data for these purposes remains a substantial challenge primarily because of complex surface water dynamics and data handling limitations. </p>
application/pdf
10.5194/ica-abs-10-275-2025
en
International Cartographic Association
Multi-temporal surface water mapping with high-resolution elevation and image data through weakly supervised deep learning
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