allankapoor / hurricane_damageLinks
Post-hurricane structure damage assessment based on aerial imagery leveraging convolutional neural networks
☆15Updated 3 years ago
Alternatives and similar repositories for hurricane_damage
Users that are interested in hurricane_damage are comparing it to the libraries listed below
Sorting:
- Land use classification or Landform Mapping on big remote sensing imagery. Specifically, this repo is to delineate landforms due to the t…☆42Updated this week
- AROSICS - Automated and Robust Open-Source Image Co-Registration Software☆184Updated last week
- Sentinel-1 image pre-processing using snappy.☆96Updated 3 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆110Updated 3 years ago
- The STARFM fusion model for Python☆144Updated 2 years ago
- Codebase for land cover classification with U-Net☆22Updated 6 years ago
- Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications☆19Updated 2 years ago
- Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Wo…☆36Updated 2 years ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆38Updated 4 years ago
- Open Satellite Image Cloud Detection Resources (Datasets and Tools)☆73Updated last year
- Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networ…☆103Updated 3 years ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆89Updated 2 years ago
- ☆14Updated 6 years ago
- ☆60Updated 3 years ago
- Machine learning for satellite image time series☆27Updated 6 years ago
- This software acts as a wrapper to run the MODTRAN RT model. It then uses the MODTRAN Interrogation Technique to extract variables requir…☆10Updated 7 years ago
- InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python☆49Updated 5 years ago
- Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place☆37Updated 2 years ago
- Hyperspectral image processing library☆68Updated 2 weeks ago
- The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel …☆187Updated 3 months ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆50Updated 3 years ago
- Image classification on Sentinel-2 satellite imagery.☆37Updated 2 years ago
- Object-based land cover classification with Support Vector Machine for Google Earth Engine☆34Updated 6 years ago
- Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data☆14Updated 9 months ago
- A set of notebook tutorials for RSGISLib.☆44Updated 8 months ago
- Machine learning tool to detect landslides from optical satellite imagery☆108Updated 2 years ago
- Introduction to convolutional neural networks (CNNs) with a remote sensing example.☆27Updated 6 years ago
- a deep model that segments water on multispectral images☆148Updated 2 years ago
- crop classification using deep learning on satellite images☆119Updated 4 years ago
- Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.☆101Updated 9 months ago