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bikesh bade's Projects

chirps-precipitation-to-excel icon chirps-precipitation-to-excel

ExtractClimate 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.

django-gee icon django-gee

There are several ways to use GEE and each one has its advantages and disadvantages. In this example, GEE is used for web mapping with python Django. Django is a fully-featured Python web framework that can be used to build complex web applications. There are endless web development frameworks out there, so why should you learn Django over any of the others? First of all, it’s written in Python, one of the most readable and beginner-friendly programming languages out there. The second reason Google Earth engine provides the Python API.

geepython icon geepython

A collection of Jupyter Python notebook examples for using Google Earth Engine with Python API

mdcs-py icon mdcs-py

MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

sentinal-2-ndvi-with-gee-python-api icon sentinal-2-ndvi-with-gee-python-api

The Normalized Difference Vegetation Index (NDVI) is a simple graphical indicator that can be used to analyze remote sensing measurements, typically, but not necessarily, from a space platform, and assess whether the target being observed contains live green vegetation or not.

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