Google Earth Engine: Algae Bloom Analysis Seasonal Changes
Google Earth Engine: Algae Bloom Analysis Seasonal Changes
Published 7/2025
Duration: 3h 33m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.56 GB
Genre: eLearning | Language: English
Published 7/2025
Duration: 3h 33m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.56 GB
Genre: eLearning | Language: English
Analysis of Seasonal Changes of Algae bloom in Lake Elementaita using Google Earth Engine. GIS and Remote Sensing.
What you'll learn
- Understand advanced concepts about Google Earth Engine.
- Learn how to perform Analysis in Google Earth Engine.
- Perform Spectral Index Calculation for Analysis.
- Complete a case study about Algae Blooms.
- Basics of Google Earth Engine and its JavaScript API.
- Importing, filtering, and visualizing satellite imagery.
- Creating custom algae bloom detection algorithms.
- Using spectral indices to monitor water quality.
- Time-series and trend analysis of bloom events.
Requirements
- You need basic understanding of Programming. Familiar with JavaScript Google Earth Engine. Basics of Geospatial Data Analysis.
Description
This course provides a comprehensive, hands-on introduction to detecting, monitoring, and analyzing algae blooms using the powerful cloud‑based platformGoogle Earth Engine (GEE)and itsJavaScript API. You’ll gain practical experience harnessing satellite imagery—such asSentinel‑2andCHIRPS Rainfall Data—while learning to apply advancedspectral indices, includingNDTI,NDWI, andChlorophyll‑a proxies, to quantify water quality and vegetation health. Throughout the course, you'll learn to create dynamictime‑series visualizations, geospatial overlays, and interactive maps that reveal bothspatialandtemporalpatterns of harmful algal blooms (HABs) in diverse environments, spanningfreshwater lakes,rivers,reservoirs, andcoastal zones.
Using a series ofreal‑world case studies, you’ll develop automated remote sensing workflows that streamline data collection, processing, and analysis—all performed directly in the browser. This approach enables you to swiftly generatedownloadable outputs,reports, andgeo‑referenced mapssuitable forenvironmental monitoring,academic research, orgovernment policy and resource management.
By the end of the course, you’ll confidently navigate GEE’s interface, write modular JavaScript code, design reusable algorithms, and interpret complex results. Whether you’re anenvironmental scientist,GIS professional,graduate student, orpolicy advisor, you’ll come away with the skills to apply satellite-driven insights to address pressing water quality and ecosystem health challenges.
Who this course is for:
- This Course is meant for Beginners in Google Earth Engine. Environmental scientists and researchers interested in aquatic ecosystems. Remote sensing and GIS professionals looking to expand their geospatial skills. Students in environmental science, ecology, hydrology, or geoinformatics. NGOs and government agencies involved in water resource management. Anyone interested in leveraging satellite data to combat the threat of harmful algal blooms.
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