Spatio-Temporal Analysis of Water Chlorophyll Concentration using MODIS Data in Google Earth Engine

In this exciting video, we dive into the spatial and temporal analysis of water chlorophyll concentration using MODIS data in Google Earth Engine, focusing on the Gulf of California. Discover how we map crucial oceanic parameters such as chlorophyll-a, phytoplankton, and particulate organic carbon (POC) concentrations, as well as analyze sea surface temperature (SST) using the powerful capabilities of Google Earth Engine (GEE).

We begin by defining our region of interest (ROI) with precise coordinates, setting the stage for a comprehensive analysis. Leveraging the MODIS Ocean Terra data from 2020 to 2022, we map the chlorophyll-a concentration, revealing patterns and changes over time. The vibrant color palettes help us visualize these concentrations clearly, offering valuable insights into the coastal region of California.

Next, we map the phytoplankton concentration using the Normalized Fluorescence Line Height (NFLH) and the POC concentrations. By computing the mean values over the specified period, we ensure accuracy and clarity in our visualizations. We also perform a detailed time-series analysis of sea surface temperature (SST) by stacking raster layers for each January, showcasing the temporal changes effectively.

Our analysis doesn't stop there! We create a weekly temporal collection from the MODIS data, allowing us to plot time series for chlorophyll-a, SST, and POC. These plots provide a clear temporal perspective, highlighting trends and changes over the weeks.

Finally, we calculate and print the area of chlorophyll-a, phytoplankton, and POC, using specific thresholds to update the mask and compute the area in square kilometers. These calculations are crucial for understanding the extent and impact of these oceanic parameters in our study area.
Key Topics:
1. Defining Region of Interest (ROI) for the Gulf of California
2. Mapping chlorophyll-a, phytoplankton, and POC concentrations
3. Time-series analysis of sea surface temperature (SST)
4. Exporting data to Google Drive for further analysis
5. Creating and analyzing weekly temporal collections
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Resources:
Code link: https://code.earthengine.google.com/6...
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MODIS Terra Data Ocean Color SMI: https://developers.google.com/earth-e...
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Watch the full video to see the step-by-step process and learn how to apply these techniques to your projects. Don't forget to like, share, and subscribe for more tutorials and insights on remote sensing and geospatial analysis!
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#mapping #chloropyll #MODIS #googleearthengine #modisterra