Alternatives and similar repositories for Deep-Learning--Forecasting-Air-Pollution-in-Beijing-China-Machine-Learning-

Users that are interested in Deep-Learning--Forecasting-Air-Pollution-in-Beijing-China-Machine-Learning- are comparing it to the libraries listed below

• eracah / hur-detect
  Deep Semi-Supervised Object Detection for Extreme Weather Events
  ☆59Updated 8 years ago
• meet-sapu / Crop-Yield-Prediction-Using-Satellite-Imagery
  ☆62Updated 6 years ago
• jlbeidler / emisqa
  Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.
  ☆14Updated 2 years ago
• ceholden / yatsm
  Yet Another Time Series Model
  ☆63Updated 7 years ago
• ml-clim / drought-prediction
  A Machine Learning Pipeline to Predict Vegetation Health
  ☆31Updated 5 years ago
• gabtorres-ph / land-cover-to-land-use-classification
  Satellite image processing pipeline to classify land-cover and land-use
  ☆88Updated 8 years ago
• pytroll / tutorial-satpy-half-day
  Jupyter Notebook-based tutorial providing an overview of Satpy's features lasting about 4 hours
  ☆60Updated 3 years ago
• tchambon / DeepSentinel
  Deep learning pretrained model on satellite imagery (Sentinel-2)
  ☆81Updated 6 years ago
• sentinel-hub / water-observatory-backend
  Monitoring water levels of lakes and reservoirs using satellite imagery
  ☆83Updated 4 years ago
• gena / thesis
  ☆22Updated 4 years ago
• willyhagi / climate-data-science
  Climate Data Science and Earth Observation with Python.
  ☆134Updated 5 years ago
• ashesh6810 / DLC_Extreme
  ☆14Updated 6 years ago
• fnardi / GFPLAIN
  Global FloodPLAIN mapping using a geomorphic algorithm
  ☆28Updated 5 years ago
• ECMWFCode4Earth / ml_drought
  Machine learning to better predict and understand drought. Moving github.com/ml-clim
  ☆93Updated 3 years ago
• holoviz-topics / EarthML
  Tools for working with machine learning in earth science
  ☆96Updated last year
• JohnNay / forecastVeg
  A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
  ☆50Updated 4 years ago
• royalosyin / Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python
  Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfa…
  ☆37Updated 3 years ago
• luna983 / air-quality-machine-learning
  Using machine learning to recover air quality data from remote sensing datasets.
  ☆13Updated 5 years ago
• annefou / metos_python
  Python for analyzing and visualizing spatio-temporal data
  ☆23Updated 6 years ago
• DynaSlum / satsense
  Satsense is a Python library for land use/cover classification using satellite imagery
  ☆24Updated 5 years ago
• shakasom / Deep-Learning-for-Satellite-Imagery
  Deep learning courses and projects
  ☆95Updated 7 years ago
• multiply-org / atmospheric_correction
  Sentinel 2 and Landsat 8 Atmospheric correction
  ☆38Updated last year
• geohackweek / tutorial_contents
  Geohackweek Tutorial Contents
  ☆71Updated 5 years ago
• earthlab / tutorials
  Tutorials for spatial data processing and analysis in R and Python
  ☆43Updated 6 years ago
• martin-rdz / ARLreader
  Reader for the ARL Hysplit input data format only based on python
  ☆23Updated 2 years ago
• MarcYin / S2_TOA_TO_LAI
  From Sentinel 2 TOA reflectance to LAI
  ☆21Updated 5 years ago
• loicdtx / landsat-extract-gee
  Get Landsat surface reflectance time-series from google earth engine
  ☆61Updated 6 years ago
• AnnaXWang / deep-transfer-learning-crop-prediction
  Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
  ☆68Updated 6 years ago
• weber-s / pyPSCF
  Mirror of https://gricad-gitlab.univ-grenoble-alpes.fr/webersa/pyPSCF
  ☆10Updated 7 years ago
• perrygeo / pyimpute
  Spatial classification and regression using Scikit-learn and Rasterio
  ☆128Updated 2 years ago