Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
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Updated
Feb 25, 2023
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
Learning to use ML for computer vision
Wildfire prediction involves using various techniques, data, and models to anticipate the occurrence, behavior, and spread of wildfires.Wildfire prediction plays a crucial role in protecting lives, property, and ecosystems by enabling proactive measures and effective responses to these natural disasters.
Visualize earthquake data from the United States Geological Survey using Leaflet.
Using Sentinel-1 SAR GRD data to visualize glacial movement on Eastern Greenland via SNAP and Google Earth Pro
Using ML and Satellite images to find surf spots
Esta aplicación le permite al usuario visualizar y descargar figuras MODIS del Río de la Plata junto con otras capas espaciales.
Library of common python utils used by different NachbarStrom services
using R Studio to download, process, and analyze night time satellite imagery from the VIIRS constellation.
Creates single absorption (a) and attenuation (c) spectra for Wet Labs ac-s meter pure-water calibration measurements as performed in the laboratory, typically directly preceding or following a field deployment.
A python package to provide easy access to the Arlula Satellite Imagery Archive
The Google Earth Engine app for the visualization of phytoplankton distribution.
A package to facilitate access to the Arlula Imagery Marketplace API
Notebook for curating the visual gallery of the GeoSentry 🌍 Platform.
Monitoring the Water Quality in Bhopal Region Using Satellite Imagery and GIS Techniques
Autonomous Receiving and Tracking System for NOAA satellites
Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
Land cover classification hackathon during the OpenGeoHub Summer School 2023 in Poznan (Poland).
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