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Article

9 Citations

5,401 Views

16 Pages

Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area

Lijie Lu,
Lihui Wang,
Qichi Yang,
Pengcheng Zhao,
Yun Du,
Fei Xiao and
Feng Ling

Remote Sens.2023, 15(4), 1014;https://doi.org/10.3390/rs15041014

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12 February 2023

Accurate extraction of river network from the Digital Elevation Model (DEM) is a significant content in the application of a distributed hydrological model. However, the study of river network extraction based on DEM has some limitations, such as loc...

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Article

14 Citations

5,474 Views

24 Pages

Vertical Accuracy Assessment and Improvement of Five High-Resolution Open-Source Digital Elevation Models Using ICESat-2 Data and Random Forest: Case Study on Chongqing, China

Weifeng Xu,
Jun Li,
Dailiang Peng,
Hongyue Yin,
Jinge Jiang,
Hongxuan Xia and
Di Wen

Remote Sens.2024, 16(11), 1903;https://doi.org/10.3390/rs16111903

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25 May 2024

Digital elevation models (DEMs) are widely used in digital terrain analysis, global change research, digital Earth applications, and studies concerning natural disasters. In this investigation, a thorough examination and comparison of five open-sourc...

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