Advanced Remote Sensing for Climate Change Applications Using Google Earth Engine Part 1
Instructor
raphael_mussa
Reviews
Course Overview
What You'll Learn?
- This course provide a strong foundation for beginners to learn advanced remote sensing for climate change applications in GEE.
- The targeted audience for "Advanced Remote Sensing for Climate Change Applications Using Google Earth Engine" typically includes:
- Environmental Scientists and Researchers: Those involved in climate change studies and needing advanced tools for data analysis and visualization.
- Geospatial Analysts: Professionals using remote sensing for environmental monitoring and management.
- Graduate Students and Academics: Individuals in higher education focused on climate science, geography, or environmental studies.
- Data Scientists: Those interested in applying machine learning and big data analytics to climate change problems using remote sensing data.
- Policymakers and NGOs: Organizations that require detailed environmental data to inform climate-related decisions.
- The requirements for engaging with "Advanced Remote Sensing for Climate Change Applications Using Google Earth Engine" typically include:
- Technical Knowledge:
- Basic to intermediate understanding of remote sensing principles.
- Knowledge of geospatial data processing and analysis.
- Domain Knowledge:
- Background in climate science, environmental studies, or a related field.
- Awareness of climate change indicators, such as temperature trends, vegetation indices, and land cover changes.
- Software and Tools:
- Optional: GIS software like QGIS or ArcGIS for complementary spatial analysis.
- Analytical Skills:
- Ability to interpret remote sensing data and apply it to climate change scenarios.
- Critical thinking to design and implement relevant GEE projects.
kennethkache
Excellent GIS course with practical much appreciations