2023
DOI: 10.1016/j.compeleceng.2022.108557
|View full text |Cite
|
Sign up to set email alerts
|

Automatic shadow detection in high-resolution multispectral remote sensing images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…Digital elevation models (DEMs) are crucial for hydrology and water resources management. They provide a three-dimensional representation of the Earth's surface, which is essential for understanding and managing the flow and distribution of water, presenting several critical applications of DEMs in hydrology such as in watershed delineation [7][8] [9][8] [10] [11], hydrological modeling [12], flood risk analysis [13] [14], soil erosion and sediment transport [15] [16], river and stream network analysis [17] [18], rainfall-runoff analysis [19] [20], wetland mapping and analysis [21] [22], groundwater flow and recharge analysis [23] [24], irrigation planning and management [25], climate change impact assessment [10] [26].…”
Section: Introductionmentioning
confidence: 99%
“…Digital elevation models (DEMs) are crucial for hydrology and water resources management. They provide a three-dimensional representation of the Earth's surface, which is essential for understanding and managing the flow and distribution of water, presenting several critical applications of DEMs in hydrology such as in watershed delineation [7][8] [9][8] [10] [11], hydrological modeling [12], flood risk analysis [13] [14], soil erosion and sediment transport [15] [16], river and stream network analysis [17] [18], rainfall-runoff analysis [19] [20], wetland mapping and analysis [21] [22], groundwater flow and recharge analysis [23] [24], irrigation planning and management [25], climate change impact assessment [10] [26].…”
Section: Introductionmentioning
confidence: 99%