Hereon-KSN / cygnss-deploymentLinks
Web Interface for Wind Speed Prediction
☆20Updated 2 years ago
Alternatives and similar repositories for cygnss-deployment
Users that are interested in cygnss-deployment are comparing it to the libraries listed below
Sorting:
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆29Updated 3 months ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated 2 months ago
- Library for Event Synchronization and Event Coincidence Analysis☆14Updated 9 months ago
- Deep Learning Models for Wildfire Danger Forecasting☆75Updated 3 years ago
- Visualize Himawari-8 satellite data☆17Updated 2 years ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆22Updated 5 years ago
- Repository with the code used in the paper Landslide Segmentation with Unet: Evaluating Different Sampling Methods and Patch Sizes☆13Updated 2 years ago
- Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification☆163Updated last year
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆22Updated 5 years ago
- Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'☆100Updated 2 years ago
- ☆163Updated 3 years ago
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆35Updated this week
- ☆29Updated 2 years ago
- Deep-learning Based Climate Downscaling of Precipitation Data☆14Updated 9 months ago
- Teleconnection-driven vision transformers for improved long-term forecasting☆31Updated last year
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆18Updated 3 years ago
- A collection of implementations functions implementing variants of the triple collocation method☆11Updated 10 years ago
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆38Updated 3 years ago
- ☆19Updated 7 months ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆35Updated 2 years ago
- ☆33Updated 2 years ago
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆22Updated 3 years ago
- 读取FY4A的所有产品☆34Updated 3 years ago
- Monthly surface water mapping in Tibet plateau based on deep learning method and Sentinel-1 image.☆14Updated 2 years ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆52Updated 5 months ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆48Updated 5 years ago
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆19Updated 4 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆89Updated 2 weeks ago
- a GAN for precipitation downscaling☆42Updated 3 years ago