luna983 / air-quality-machine-learningLinks
Using machine learning to recover air quality data from remote sensing datasets.
☆13Updated 5 years ago
Alternatives and similar repositories for air-quality-machine-learning
Users that are interested in air-quality-machine-learning are comparing it to the libraries listed below
Sorting:
- 🐼🌹 A simple Pandas accessor for making windrose plots.☆15Updated 2 years ago
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- a collection of remote climate data accessed via intake cached to disk☆19Updated last month
- Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.☆13Updated 2 years ago
- Download, process and plot data from the ICON global model used at DWD☆25Updated 2 years ago
- predicting vegetation health from precipitation and temperature☆12Updated 6 years ago
- Spectral endmembers and unmixing tools for satellite land cover mapping.☆24Updated last year
- An Earth Observation Land Data Assimilation System (EO-LDAS)☆17Updated 13 years ago
- Python for analyzing and visualizing spatio-temporal data☆23Updated 6 years ago
- Reader for the ARL Hysplit input data format only based on python☆23Updated 2 years ago
- A python course intended to provide a thorough grounding for those working in the earth sciences☆35Updated 7 years ago
- Python toolkit to do direct damage assessments for natural hazards☆21Updated last week
- NASA cloud science tutorials and science use cases☆25Updated 9 months ago
- Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio☆22Updated 8 years ago
- Interactivate plotting of NetCDF data in Python☆13Updated last month
- ☆12Updated 2 months ago
- Python for Climate and Meteorological Data Analysis and Visualisation☆21Updated 6 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 6 years ago
- Source codes for X-STILT(NOx) [Wu et al., 2018, 2023] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].☆19Updated 2 weeks ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- RasterSmith is a package to preprocess different NASA Earth observing satellite data products into common resolution, spatial reference, …☆13Updated 6 years ago
- codes for reproducing the results presented in the manuscript by Xia et al.☆10Updated 3 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module pe…☆19Updated 4 months ago
- A python package for computing zonal mean and related atmospheric diagnostics☆16Updated last year
- Interpolation and extrapolation of geographic (lon, lat) tie points☆29Updated last month
- ☆14Updated 5 years ago
- GPM Tool☆11Updated last year
- A global lake level database☆35Updated 3 years ago
- Command line script and Python package to get weather and hydrologic time-series from Internet services.☆18Updated last week