Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning
Eutrophication is defined as the excessive enrichment of water bodies with nutrients, leading to planktonic algal blooms. This phenomenon causes significant ecological disturbances, such as extreme fluctuations in oxygen levels, reduced water transparency, and increased oxygen consumption in deeper...
Saved in:
| Main Authors: | Ruben Usamentiaga, Jose Sal, Pelayo Elvira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11053172/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data
by: Thong Nguyen Hoang, et al.
Published: (2025-01-01) -
Influence of nutrients on aquatic vegetation and trophic status of lakes: analysis of eutrophication and mitigation
by: Fernando García-Ávila, et al.
Published: (2025-09-01) -
Mapping Kuwait bathymetry using passive multispectral remote sensing
by: Jasem A Albanai
Published: (2021-08-01) -
Remotely sensed water color and eutrophication in a downstream lake: Long-term dynamic and driving factors in Hong Lake, China
by: Xueer Geng, et al.
Published: (2025-08-01) -
How Far Down? Interdisciplinary Discussions and Multimodal Investigations to Understand the Potential of Multispectral Remote Sensing
by: Filippo Materazzi
Published: (2024-03-01)