Alternatives and similar repositories for FY4A

Users that are interested in FY4A are comparing it to the libraries listed below

• leelew / HybridHydro
  Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…
  ☆17Updated 6 months ago
• MeteoSwiss / c4dl-multi
  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
  ☆35Updated 2 years ago
• ZPYin / Himawari-8_Visualizer
  Visualize Himawari-8 satellite data
  ☆19Updated 3 years ago
• lzhengchun / DSGAN
  a GAN for precipitation downscaling
  ☆43Updated 3 years ago
• Mo-Dabao / BiteFengyun
  ☆42Updated 4 years ago
• S-Stergiadis / MODIS-LST-downscaling-with-RFR
  Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression
  ☆26Updated 3 years ago
• AugChiang / Climate-downscaling
  Deep-learning Based Climate Downscaling of Precipitation Data
  ☆14Updated last year
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆27Updated 2 years ago
• zxdawn / FY-4
  Codes related to FengYun-4 (FY-4) data
  ☆36Updated 5 years ago
• holmescao / U-RNN
  (Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding
  ☆72Updated 8 months ago
• Dlong12 / GANN
  The Generative AOD Adversarial Neural Network (GANN) is a neural network model used for satellite aerosol retrieval.
  ☆10Updated 2 years ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆20Updated 4 years ago
• skrisliu / Estimation-of-PM2.5-PM10-from-Satellite-Imagery
  Estimate PM2.5/PM10 from satellite imagery
  ☆11Updated 4 months ago
• nmcdev / nmc_met_base
  提供一些关于气象应用开发的基础功能函数，包括数组处理、数学函数、物理常数、时间处理、客观分析等模块。
  ☆53Updated 11 months ago
• IncubatorShokuhou / pyMeteo
  Some very simple meteorology function written in python;几个简单的气象相关的函数
  ☆15Updated last year
• jesusgf96 / Broad-UNet
  ☆19Updated 3 years ago
• Orion-AI-Lab / wildfire_forecasting
  Deep Learning Models for Wildfire Danger Forecasting
  ☆79Updated 3 years ago
• MrCPlusPlus / ESRCNN-for-Landsat8-Sentinel2-Fusion
  ☆41Updated 6 years ago
• CoLM-SYSU / CoLM
  The Common Land Model
  ☆61Updated last week
• mowerther / BNN_2022
  Sentinel-3 OLCI and Sentinel-2 MSI Bayesian Neural Networks (BNNs) for oligo- and mesotrophic lakes
  ☆18Updated last year
• zxdawn / weather_data
  Scripts of downloading weather data: satellite and reanalysis data
  ☆22Updated 3 years ago
• gher-uliege / DINCAE
  DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
  ☆54Updated 9 months ago
• jjmcnelis / mcd43a1-albedo-python
  A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …
  ☆28Updated 4 years ago
• danielphilipp / seviri_ml
  SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…
  ☆14Updated 2 years ago
• GISWLH / plot-function
  plot function by Longhao Wang
  ☆35Updated 2 years ago
• shenyulu / easyclimate
  A line of code to analyze climate
  ☆49Updated this week
• pansism / downscale-satelliteLST
  A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
  ☆92Updated last year
• NMC-DAVE / dk_tutorials_2021
  2021年统计后处理培训教程.
  ☆18Updated 4 years ago
• QianqianHan96 / GSSM1km
  ☆13Updated 2 months ago
• LGlawion / spateGAN_ERA5
  spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation
  ☆33Updated last week