Spatial Data Analysis in Google Earth Engine Python & Colab – Radhe Global

Learn big spatial data, machine learning, GIS and remote sensing with Earth Engine Python API and Google Colab

Instructor Names: Dr. Alemayehu Midekisa

link: https://www.udemy.com/course/spatial-analysis-with-earth-engine-python-google-colab/

Objective

Students will access and sign up the Google Earth Engine Python API Access and visualize satellite data in Earth Engine Python API Export geospatial data including raster and vector data formats

Curriculum

Introduction to Python API with Colab, Welcome, Introduction to the Course, What is Google Colab?, Get Started with Earth Engine API, Data and Code, Load DEM Data with EE Python API, Load Landsat Data with EE Python API, Raster Data Visualization, Landsat Visualization, MODIS Land Visualization, NLCD Land Cover Visualization, NDVI Visualization, Vector Data Visualization, USA States, USA Counties, International Boundaries, Raster Data Analysis: Images, Clipping, Image Metadata, Band Math, Calculate MODIS NDVI, Raster Data Analysis: Image Collection, Clip Image Collection, Landsat Simple Composite, Filtering by Calendar Day of Year, Machine Learning, Clustering, CART Classifier, SVM Classifier, Export Images, Export Images, Bonus Lectures, Bonus

Paid (True/ False): True

No. Of Subscribers: 408

Rating: 3.4089875

No. Of Reviews:  43

Instructional Level: All Levels