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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
Published on: April 25, 2019
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Validating chlorophyll-a concentrations in the Lagos Lagoon using remote sensing extraction and laboratory
1Department of Geography, University of Lagos, Lagos, Nigeria.
Methodsx
|January 10, 2019
Summary
Remote sensing effectively maps chlorophyll-a, a key indicator of water productivity. This study validates satellite data against lab measurements for accurate trophic state assessment in Lagos Lagoon.
Area of Science:
- Environmental Science
- Remote Sensing
- Limnology
Background:
- Pigment concentrations, particularly chlorophyll-a, are crucial for understanding water body trophic states.
- Phytoplankton, containing chlorophyll-a, are primary producers influencing aquatic ecosystems.
- Accurate mapping of chlorophyll-a is essential for water quality monitoring.
Purpose of the Study:
- To assess chlorophyll-a concentration in Lagos Lagoon using both laboratory fluorometric and remote sensing methods.
- To evaluate the viability of remote sensing data as an alternative for mapping water pigment concentrations.
- To establish regression models for estimating chlorophyll-a from satellite imagery.
Main Methods:
- Laboratory fluorometric analysis calibrated with a chlorophyll-a standard.
- Acquisition and processing of Landsat 7 (ETM+) and Landsat 8 (OLI) satellite data.
- Geometric rectification, radiometric correction to reflectance, and regression analysis using spectral bands and ratios.
Main Results:
- Developed regression models to estimate chlorophyll-a concentration.
- Evaluated the performance of single bands, band ratios, and transformed band ratios.
- Demonstrated the correlation between satellite-derived and laboratory-measured chlorophyll-a.
Conclusions:
- Remote sensing is a viable method for mapping chlorophyll-a concentrations in water bodies.
- The study provides a foundation for using satellite data in assessing the trophic state of Lagos Lagoon.
- Validated laboratory fluorometric methods alongside remote sensing techniques for robust environmental monitoring.
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