Digital elevation data is an international research effort that obtained digital elevation models on a near-global scale. This SRTM V3 product (SRTM Plus) is provided by NASA JPL at a resolution of 1 arc-second (approximately 30m).
This tutorial will go over how to set up the API on your local machine as well as some basic Python scripts utilizing the Google Earth Engine Python API
The Python API provides a programmatic and flexible interface to Earth Engine for automating batch processing tasks, and leveraging the power of the command line.
Looking for Soil Raster data products? Extract the SoilGrids 250m predictive maps of soil properties and classes for the Global soil database for the desired extend with WMS Web Map Service.
Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).
Extract Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset using Google earth engine API and convert it into. Excel and charts using Python Pandas data frame.