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
uav-image-segmentation for hurrican-hurvey-flood-damage by unet
Utility files for Granular challenge.
PANet for Instance Segmentation and Object Detection
Automated detection of moving objects in Sentinel-2 imagery using intra-detector parallax effect
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.
A Python package for extracting raster data for an area of interest from the SpatioTemporal Asset Catalogs (STAC)
A Jupyter notebook for detecting deforestation using GeoTIFF satellite images and NDVI analysis with OpenCV.
Improving the water-extent monitoring of Swedish wetlands with open-source satellite data and Google Earth Engine
Bu proje K-Means Clustering kullanılarak Uydu Görüntüleri üzerinde cluster sayısının (k) en optimum şekilde belirlenmesinde k değeri önerisi yapma ve çok bandlı uydu görüntülerinin segmantasyonu amacıyla oluşturulmuştur.
Safer is a mapping system that pulls real-time satellites data of disasters in your area. Safer unites communities helping discover resources during catastrophes through crowdsource. Safer incentivize and educate communities about climate change related issues and solutions.
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