ArminMoghimi / RiverSnapLinks
RiverSnap - estimation of river hydraulic parameters using machine learning/AI models
☆16Updated last year
Alternatives and similar repositories for RiverSnap
Users that are interested in RiverSnap are comparing it to the libraries listed below
Sorting:
- This repo is the solution for landslide4Sense challenge.☆56Updated 3 years ago
- Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained mo…☆111Updated 10 months ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆21Updated 2 years ago
- ☆21Updated 3 years ago
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆129Updated last week
- ☆60Updated last year
- Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.☆49Updated 4 years ago
- A Python package to super-resolve Sentinel-2 satellite imagery up to 2.5 meters.☆82Updated 7 months ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆72Updated 2 years ago
- Code to reproduce the experiments of ICML2024-paper: Estimating Canopy Height at Scale☆31Updated 2 months ago
- This a repository with the winners' code from the BioMassters challenge☆46Updated 2 years ago
- A deep learning model for surface water mapping based on satellite optical image.☆117Updated 4 years ago
- S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images☆54Updated last year
- CloudS2Mask is a Sentinel 2 L1C cloud and cloud shadow masking library☆31Updated last year
- A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.☆13Updated 2 years ago
- Individual tree crown delineation in optical remote sensing images☆110Updated this week
- Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.☆104Updated 10 months ago
- Application of deep learning for earth observation.☆124Updated last year
- A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.☆91Updated last year
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆48Updated last year
- ☆43Updated 2 years ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆58Updated 3 weeks ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 3 years ago
- ☆46Updated 4 years ago
- A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)☆51Updated 3 months ago
- By using the pre-trained models, this method enables quick and simple mapping of landslides at various spatiotemporal scales. The method …☆21Updated 2 years ago
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 6 months ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆44Updated 2 years ago
- Hydro -- A Foundation Model for Water in Satellite Imagery☆58Updated 11 months ago
- Implementation of Latent Diffusion Super-Resolution model for RGB-NIR Sen2 imagery.☆103Updated 3 months ago