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A database of global coastal conditions
Mariana Castaneda-Guzman1, Gabriel Mantilla-Saltos2, Kris A Murray3,4
1Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061, USA.
Scientific Data
|November 27, 2021
Summary
This study provides a global dataset of sea surface temperature (SST) and Chlorophyll-a (Chlo-a) for coastal regions. This readily available data supports environmental monitoring and research in marine ecosystems.
Area of Science:
- Environmental Science
- Oceanography
- Remote Sensing
Background:
- Marine ecosystems are understudied compared to terrestrial ones due to data limitations.
- Satellite remote sensing offers potential for monitoring dynamic environmental phenomena.
- Sea surface temperature (SST) and Chlorophyll-a (Chlo-a) are key indicators of coastal environmental conditions.
Purpose of the Study:
- To compile a global, ready-to-use dataset of SST and Chlo-a for coastal exclusive economic zones.
- To facilitate research in marine ecology, oceanography, and biogeography.
- To reduce computational time and costs for coastal environmental studies.
Main Methods:
- Utilized remote sensing satellite imagery.
- Collected monthly and annual statistics of SST and Chlo-a.
- Focused on exclusive economic zones of coastal regions globally.
- Dataset covers the period from 2003 to 2020.
Main Results:
- A comprehensive global dataset of SST and Chlo-a statistics for coastal areas was compiled.
- The data provides high spatial and temporal resolution information.
- The dataset spans from 2003 to 2020, offering long-term trends.
Conclusions:
- The created dataset is valuable for researchers in various marine science disciplines.
- It supports environmental monitoring of marine biodiversity and microorganisms.
- The data aids in the study of environmental anomalies and global change impacts on coastal ecosystems.
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