Visualizing Vegetation Indices using python.

Functions for remote sensing data analysis developed by StatGIS.org

😎A Streamlit Application to Detect River Encroachments across the Regions of Interest near "Buriganga" river.

Remote Sensing data - Earth observation data

Django (Python) backend for the Angular Satellite Analysis application

Generate elevation plots using open-elevation API and Google Earth

Sentinel-2 and Landsat timelaps based on GEE data

Serverless Microservices for the GeoCore API, used internally for the core geospatial functionalities of the GeoSentry 🌍 Platform facilitated by the Terrarium package. The Services are built with Docker, stored on Artifact Registry, deployed on Cloud Run and discoverable with Service Directory.

Simple Python script that generates (from a csv file containing lat and long coordinates) a txt file with each row corresponding to the definition in Javascript of a ee.Geometry.Point. Each ee.Geometry.Point can then be imported and visualized in the Code Editor of Google Earth Engine, instead of writing all of them manually

Simple CL tool to download GEE imagery

XYZ Vineyard company is looking to improve its growing practices using precision agriculture tools to produce premium quality wine grapes.

GAIA - Geospatial & Aerial Images Analyser

Extract and parse latitude and longitude from screenshots of Google Earth Pro, using OpenCV and Python. Used as a sub-module.

Terrarium is a Python Package for geospatial manipulation and raster/vector generation for the GeoSentry 🌍 Platform powered by Google Earth Engine and Google Maps Platform.

Antalya/Cleopatra Beach Shoreline Change Detection with CoastSat (2013–2022)

the workflow of google earth engine city extraction written in python with arcpy

This repository contains the Python codes used in the short paper "Sensitivity of Land Surface Temperature to Emissivity Retrieved from Landsat 8 Data", submitted to the XXIV Brazilian Symposium on GeoInformatics.

A python package to analyze hydrological timeseries for a site or watershed using the Google Earth Engine and USGS APIs.

Classify the vegetation coverage of Cocientas basin in La Guajira (Colombia) with a Random Forest model to get the total vegetation coverage and try to predict futer changes.

An account manager for the Earth Engine Python API