Spatial data Analysis repo utilized database and cloud computing
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Updated
Jun 25, 2024 - Jupyter Notebook
Spatial data Analysis repo utilized database and cloud computing
Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
A Python package for installing optional dependencies for geemap and leafmap.
Laboratórios didáticos de Geoprocessamento - Poli-USP
"Explore the world of geospatial data science with GEEMAP and Google Earth Engine! This repository is your go-to resource for learning about data management techniques and tools in the realm of geospatial analysis. Dive into tutorials, examples, and best practices to unlock the power of spatial data for your projects."
Satellite images show Kakhovka dam before and after destruction using Geemap.
Python scripts for deploying Earth Engine Apps to heroku
A QGIS plugin for Earth Engine and geemap
A template for building a mkdocs website
An exploration of NDVI and wine quality using Google Earth Engine and geemap in a Jupyter notebook environment.
An Earth Engine web app developed using Solara and geemap
Earth Engine and Geemap: Geospatial Data Science with Python
The Footprint of Galamsey is Spreading at a very faster rate, causing vegetation loss.Other factors accounting to vegetation loss may largely include climate change,urban and exurban development, bush fires.But not much works or research has been done to tell the extent to which Galamsey causes vegetation loss. This research attempts to segregat…
Spatial Data Management with Google Earth Engine
Monitoring water quality in the Santa Monica Bay using Landsat 8 OLI satellite data.
Interactive web apps created using geemap and streamlit
Iteru: Continuous Monitoring of GERD Reservoir using Google Earth Engine API and Sentinel-1 SAR Imagery
GEE_Colab_Notebooks
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