fnemina / pyOSOAALinks
pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.
☆23Updated last year
Alternatives and similar repositories for pyOSOAA
Users that are interested in pyOSOAA are comparing it to the libraries listed below
Sorting:
- HYDROPT is an open-source framework for forward and inverse modelling of multi- and hyperspectral observations from oceans, coastal and i…☆23Updated 3 years ago
- Ocean Successive Orders with Atmosphere - Advanced (OSOAA) : Accurate computation of the radiative transfer into the Ocean-Atmosphere sys…☆38Updated 6 months ago
- Sentinel-3 OLCI and Sentinel-2 MSI Bayesian Neural Networks (BNNs) for oligo- and mesotrophic lakes☆18Updated last year
- Atmospheric correction processor for high spatial resolution multispectral satellite images☆22Updated 7 months ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆52Updated 6 months ago
- Polymer atmospheric correction☆24Updated 2 weeks ago
- Bayesian Aerosol Retrieval algorithm☆13Updated 5 years ago
- OpenOceans helps you extract and analyze bathymetry from ICESat-2 lidar data.☆28Updated last year
- Bulk download Ocean Color images.☆48Updated 4 months ago
- Data Interpolating Empirical Orthogonal Functions☆62Updated 6 months ago
- Jupyter notebooks for WRF-Hydro trainings☆55Updated 5 months ago
- A Jupyter notebook exploring data coverage, size, and customization service availability along with direct data download utilizing the NS…☆63Updated this week
- Archive. Updated materials can be found here: https://github.com/nsidc/NSIDC-Data-Tutorials/tree/main/notebooks/SMAP☆49Updated 2 weeks ago
- python Toolbox for the Evaluation of Soil Moisture Observations☆85Updated last month
- Modelling and correcting for the adjacency effect in nearshore aquatic remote sensing☆19Updated 4 months ago
- Readers for the data from the International Soil Moisture Network☆45Updated last month
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆30Updated 3 months ago
- From Sentinel 2 TOA reflectance to LAI☆21Updated 4 years ago
- The SOS-ABS code (Successive Orders of Scattering method coupled with the gaseous ABSorptions) is a 1D plan parallel radiative transfer c…☆11Updated 6 months ago
- ACOLITE: Atmospheric correction for aquatic applications of Landsat and Sentinel-2 (obsolete)☆42Updated 4 years ago
- Command-line application for visualizing data from CloudSat and CALIPSO satellites☆37Updated 7 months ago
- Functions and Python scripts to ingest ERA5 data into Google Earth Engine☆89Updated 4 years ago
- TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale☆51Updated 3 weeks ago
- RiverTile processing algorithms for SWOT☆56Updated 5 months ago
- EOF Toolbox for oceanic and atmospheric data☆16Updated 5 years ago
- Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates☆13Updated last year
- BRDF modelling using linear kernel models☆18Updated 6 years ago
- Training materials for the VIC hydrologic model setup developed for the @SERVIR program☆40Updated 5 years ago
- Deep learning approaches for statistical downscaling in climate☆72Updated 3 years ago
- Python package to setup and run hydrologic models using data from Earth Engine☆20Updated 4 years ago