ejm714 / disaster_relief_from_spaceLinks
Using satellite imagery to better target disaster relief efforts
☆17Updated 5 years ago
Alternatives and similar repositories for disaster_relief_from_space
Users that are interested in disaster_relief_from_space are comparing it to the libraries listed below
Sorting:
- Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.☆13Updated 5 years ago
- Materials for 1/21/21 DataPhilly workshop☆26Updated 4 years ago
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 3 years ago
- Introductions to Keras to perform computer vision tasks, with data exploration, error analysis and improving results.☆18Updated 5 years ago
- ☆10Updated 2 years ago
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 5 years ago
- This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysi…☆7Updated 4 years ago
- U-Net semantic segmentation for satellite imagery☆27Updated 2 years ago
- Project on detecting deforestation using deep learning algorithms☆13Updated 2 years ago
- Using Satellite Imagery to detect ships (Basic Object Detection)☆15Updated 5 years ago
- 🛰 🌴 AGBench is a Python library that benchmarks satellite-based aboveground biomass or carbon estimate maps.☆8Updated 9 months ago
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 4 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 7 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆19Updated 2 years ago
- Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery☆12Updated 7 years ago
- Just messing around with weather data☆17Updated 4 years ago
- Land use determination and urbanization over time from landsat images☆13Updated 7 years ago
- Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.☆13Updated 4 months ago
- Deep CNN and RNN for Satellite Image Time Series☆9Updated 9 years ago
- spatial resampling for more robust cross validation in spatial studies☆13Updated 3 weeks ago
- This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models we…☆33Updated 3 years ago
- Wildfire Modeling in Yosemite National Park☆19Updated 3 months ago
- ☆9Updated last year
- Using machine learning to recover air quality data from remote sensing datasets.☆13Updated 4 years ago
- A repository for notebooks that work on the ODC Sandbox☆10Updated 6 years ago
- A Jupyter project that demonstrates how to access local data from OpenStreetMap to improve your ML models. Demonstrates the use of K-D Tr…☆12Updated 4 years ago
- Mapping and monitoring of infrastructure in desert regions with Sentinel-1☆13Updated 4 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- A project to explore various satellite imagery classification techniques in remote sensing☆10Updated 7 years ago
- A streamlit web app visualizing global surface water datasets.☆13Updated 2 years ago