melissa135 / deep_typhoonLinks
Analysis satellite images of typhoons in deep-learning (CNN).
☆29Updated 7 years ago
Alternatives and similar repositories for deep_typhoon
Users that are interested in deep_typhoon are comparing it to the libraries listed below
Sorting:
- CNN based wind speed estimation of tropical cyclones based on IR/WV satellite imagery☆13Updated 7 years ago
- Bayesian Aerosol Retrieval algorithm☆13Updated 4 years ago
- Open Source Algorithm for Detecting Sea Ice Surface Features in High Resolution Optical Imagery☆22Updated 3 years ago
- Typhoon Prediction☆12Updated 5 years ago
- Arctic sea ice interannual variability and change☆12Updated 7 years ago
- # typhoon Analysis satellite images of typhoons by deep-learning (CNN), based on PyTorch. This CNN learns to map the satellite images …☆18Updated 5 years ago
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- Tools for geospatial analysis of radar rainfall fields☆12Updated 8 years ago
- Predicting weather by machine learning.☆14Updated 5 years ago
- Some useful and excellent tutorials☆17Updated 5 years ago
- a deep-learning-based river centerline extraction model☆26Updated 7 years ago
- some useful python scripts for google earth engine☆17Updated 5 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesosca…☆19Updated 4 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆42Updated 3 weeks ago
- ☆12Updated 6 years ago
- Can we use Planet high-resolution imagery and machine learning to assess snow cover?☆21Updated 3 years ago
- From Sentinel 2 TOA reflectance to LAI☆21Updated 4 years ago
- Progress towards global asset localisation using remote sensing and computer vision, beginning with solar PV.☆19Updated 5 years ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆29Updated 3 months ago
- Generalized Analog Regression Downscaling (GARD) code☆34Updated last year
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆21Updated 6 years ago
- Script for matching space-borne radar and ground radar (cross-validation code).☆12Updated 5 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- Keras implementation based on Tensorflow and dataset SCSE-Eddy for article "A Deep Framework for Eddy Detection and Tracking from Satelli…☆15Updated 4 years ago
- A CNN is trained to perform the estimation of the NDVI, using coupled Sentinel-1 and Sentinel-2 time-series.☆36Updated 7 years ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆51Updated 2 months ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- ☆14Updated 4 years ago