There are 1 repository under geemap topic.
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Geo Assist is a spatial library to manage spatial data in-memory.
A collection of 300+ examples for using Earth Engine and the geemap Python package
A collection of Jupyter notebooks for GEE Courses
A streamlit app template based on streamlit-option-menu
A streamlit multipage app template for geospatial applications
Interactive web apps created using geemap and streamlit
A collection of Earth Engine Apps created using geemap and voila
A Colab notebook for land cover mapping and monitoring using Earth Engine
Python scripts for deploying Earth Engine Apps to heroku
Spatial Data Management with Google Earth Engine
A template for building a mkdocs website
A streamlit web app visualizing global surface water datasets.
Interactive geemap tutorials on heroku
Ejecicicos en español sobre Jupyter Notebook mediante el paquete de Python, ipyleaflet, y ipywidgets: "geemap", para el mapeo interactivo en Google Earth Engine-GGE, de incendios forestales.
A collection of Jupyter notebooks for geospatial applications
Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.
Interactively visualize and contextualize high-resolution spaceborne LiDAR data from NASA's ICESat-2 mission, using the OpenAltimetry API along with the Google Earth Engine Python API and the python package geemap for mapping.
Jupyter notebooks for the GEE book
An Earth Engine web app developed using Solara and geemap
A QGIS plugin for Earth Engine and geemap
A multi-page streamlit web app template for geospatial applications
"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."
Analyze geo-mapped aerial data to estimate green cover and related factors.
Impacts of COVID-19 lockdown on Air quality.
Iteru: Continuous Monitoring of GERD Reservoir using Google Earth Engine API and Sentinel-1 SAR Imagery
Laboratórios didáticos de Geoprocessamento - Poli-USP
Land cover changes detection for Kathmandu Valley using Geemap (A Python based module for achieving GEE functionalities) (2021)
Monitoring water quality in the Santa Monica Bay using Landsat 8 OLI satellite data.
Code used for the graduation research into the decreasing suspended sediment concentrations of the Rhine River using the Goolge Earth Engine
Spatial data Analysis repo utilized database and cloud computing