ShubhayanS / Detecting-Cyclone-Centers-Custom-YOLOv3
TROPICAL cyclones (TCs) are intense warm-corded cyclonic vortices, developed from low-pressure systems over the tropical oceans and driven by complex air-sea interaction. Recent trend analysis based on both archive data and future projections consistently suggest an increase of the mean intensity of global TCs over coming decades, although there…
☆11Updated 4 years ago
Alternatives and similar repositories for Detecting-Cyclone-Centers-Custom-YOLOv3
Users that are interested in Detecting-Cyclone-Centers-Custom-YOLOv3 are comparing it to the libraries listed below
Sorting:
- Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.☆13Updated 3 years ago
- A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image☆29Updated 3 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
- Python-based geospatial analysis codes related to: GOES-16 satellite data, national land cover database (NLCD), elevation maps, building …☆13Updated 4 years ago
- This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution☆30Updated 3 years ago
- ☆18Updated 2 months ago
- Using Satellite Imagery to detect ships (Basic Object Detection)☆15Updated 5 years ago
- Some scripts that help you downloading and processing satellite data from L2 to L3 products form Sentinel-5P mission: "perform atmospher…☆16Updated 4 years ago
- [ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-…☆38Updated 10 months ago
- [MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deepl…☆15Updated 3 years ago
- This is the repo for global precipitation nowcasting using IMERG dataset.☆14Updated last year
- Downscaling Oceanographic Satellite Data with Convolutional Neural Networks☆21Updated 4 years ago
- Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates☆13Updated 10 months ago
- A streamlit web app visualizing global surface water datasets.☆13Updated 2 years ago
- Deep Learning models for Sea Ice Concentration classification generated from the architectures of Neural Network, 1D-CNN and concatenatio…☆18Updated 3 years ago
- 🛰️ Process raster data in python☆23Updated last week
- Batch shoreline extraction toolkit for PlanetScope Dove satellite imagery☆51Updated 2 weeks ago
- ☆9Updated last year
- Methods to identify and extract coastline from remote sensed data.☆10Updated 7 years ago
- Source code for "Advection-free Convolutional Neural Network for Convective Rainfall Nowcasting" by Ritvanen et al. (2023)☆11Updated last month
- Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GAN…☆34Updated 3 years ago
- classification of satellite images using convolutional neural networks with Python and Keras☆9Updated 4 years ago
- Farm Scale Soil Moisture using Remote Sensing and Water Budget Products☆22Updated last year
- ☆10Updated 7 months ago
- ☆14Updated 6 years ago
- Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using e…☆13Updated last year
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- Shoreline extraction via generative adversarial networks, prediction via LSTMs☆26Updated last year
- a GAN for precipitation downscaling☆41Updated 3 years ago
- 📡 Process meteorological radar data. 📡☆18Updated 3 years ago