Finding Optimal Spatial Window: The Influence of Size on Remote-Sensing-Based Chl-a Prediction in Small Reservoirs
This study investigates the optimal spatial window size for estimating chlorophyll-a (Chl-a) concentrations using Sentinel-2 imagery in small reservoirs of Extremadura, Spain. While remote-sensing techniques have proven valuable for water quality monitoring, the influence of pixel window size on est...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10710322/ |
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