Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data
During May 2024, Brazil experienced severe flooding due to heavy rainfall associated with low-pressure systems impacting the state of Rio Grande do Sul. This study analyzed operational VIIRS (Visible Infrared Imaging Radiometer Suite) flood products at the original 375-m spatial resolution and downs...
Saved in:
| Main Authors: | Donglian Sun, Lihang Zhou, Sanmei Li, Tianshu Yang, Meng Yuan, Andrew Lomax |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2461063 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model
by: Amirhossein Rostami, et al.
Published: (2024-11-01) -
Flood Rate Assessment of The Woyla River Watershed, Aceh Province, Indonesia
by: Rifa Alayani, et al.
Published: (2021-09-01) -
Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series
by: Liangyu Ta, et al.
Published: (2024-12-01) -
Rapid Flood Inundation Mapping for Effective Management: A Machine Learning and Pixel‐Based Classification Approach in Feni District, Bangladesh
by: Kabir Uddin, et al.
Published: (2025-06-01) -
Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning
by: Mark S. Bartlett, et al.
Published: (2025-04-01)