• Posts
GDAL
• Slopes with GDAL
GEE
• NDVI, Ppt and ETr
• CHIRPS
  • CHIRPS Part 1
  • CHIRPS Part 2
• GFS
  • GFS Part 1
  • GFS Part 2
Node.js
• GFS Dashboard
• GOES Visualizer
QGIS
• Batch Processing

GEE Python API and Precipitation Forecasting - Part 2

Project Overview Hello again! Welcome to the continuation of our deep dive into precipitation forecasting using the GFS dataset and the GEE Python API. In our previous post, we demonstrated how to use the GEE Python API along with the XEE library (an integration of GEE and xarray) to forecast precipitation for specific coordinates. This time, we’re going to expand our analysis to cover an entire region. Besides, we’ll leverage additional libraries such as Geopandas and Cartopy to create comprehensive spatial maps of precipitation forecasts.

Thursday, July 25, 2024 Read

GEE Python API and Precipitation Forecasting - Part 1

Project Overview Greetings! Welcome to the first part of a deep dive into Google Earth Engine (GEE) and its Python API. In this series, we’ll explore how to leverage the power of GEE for geospatial analysis, focusing on precipitation forecasting using the Global Forecast System (GFS) dataset. GFS is a widely-used weather forecast model developed by NOAA. It provides comprehensive weather data, including temperature, wind, and precipitation forecasts, on a global scale.

Monday, July 15, 2024 Read