Creating multi-spectral image composites (R package)
-
Updated
Aug 9, 2023 - R
Creating multi-spectral image composites (R package)
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
uav-image-segmentation for hurrican-hurvey-flood-damage by unet
Utility files for Granular challenge.
🛰🌍🤖 Tweeting cleaned up pictures posted by @Sentinel2Bot
PANet for Instance Segmentation and Object Detection
Papers for Copernicus Land Monitoring Services evolution - based on H2020 ECoLaSS project
Conditional Generative Adversarial Network deployed to predict how satellite images will look like in 10 years based on the changes they have undergone in the last 10 years.
Satellite Interrogation and Plotting Program
Python package that used to extract Lidar from USGS storage through API and process to give data frame with point elevation.
This repository contains the code for continual barlow twins with embedding regularizer as a continual learning technique.
Exploring some LANDSAT 8, LANDSAT 9, SENTINEL 2 satellites data with Google Earth Engine
Script for multiple requests to ArcGIS Server for metadata polygons which are related to Satellite Basemap in ArcGIS Online.
Add a description, image, and links to the satellite-imagery topic page so that developers can more easily learn about it.
To associate your repository with the satellite-imagery topic, visit your repo's landing page and select "manage topics."