2023
DOI: 10.1002/wat2.1678
|View full text |Cite
|
Sign up to set email alerts
|

A review of video‐based rainfall measurement methods

Abstract: Accurate and high spatiotemporal resolution rainfall observations are essential for hydrological forecasting and flood management, especially in urban hydrological applications. However, it is difficult for traditional rainfall gauges, weather radars, and satellites to accurately estimate rainfall while simultaneously capturing the spatial and temporal variability of rainfall well. In this context, video‐based rainfall measurement, a novel method, has the advantages of real‐time performance and low cost and ma… Show more

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...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 98 publications
0
1
0
Order By: Relevance
“…With high-density, low-cost groundbased video networks, hydrological monitoring using computer vision algorithms becomes an attractive solution to enhance the spatial and temporal representation of existing monitoring instruments. The use of computer vision for hydrological monitoring including rainfall monitoring [20][21][22], water level monitoring [23,24] and surface flow velocity measurement [25][26][27] has become a popular paradigm. The computer visual-based paradigm for water level measurement presents challenges in two aspects: accurate water line detection and water level elevation calculation.…”
Section: Introductionmentioning
confidence: 99%
“…With high-density, low-cost groundbased video networks, hydrological monitoring using computer vision algorithms becomes an attractive solution to enhance the spatial and temporal representation of existing monitoring instruments. The use of computer vision for hydrological monitoring including rainfall monitoring [20][21][22], water level monitoring [23,24] and surface flow velocity measurement [25][26][27] has become a popular paradigm. The computer visual-based paradigm for water level measurement presents challenges in two aspects: accurate water line detection and water level elevation calculation.…”
Section: Introductionmentioning
confidence: 99%