Jupyter Notebooks for accessing and downloading regional and point-location ocean satellite data from CMEMS, ESA OC-CCI, ESA BICEP, EUMETSAT, NASA Ocean Colour and NOAA CoastWatch.
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Updated
Oct 31, 2024 - Jupyter Notebook
Jupyter Notebooks for accessing and downloading regional and point-location ocean satellite data from CMEMS, ESA OC-CCI, ESA BICEP, EUMETSAT, NASA Ocean Colour and NOAA CoastWatch.
interactive notebooks from Planet Engineering
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
This is for the EUMETSET courses to learn data provided on Atmospheric physics. In this repo, I will be providing the Jupyer notebooks related to the project that I am currently working on.
Jupyterlab extension for EODAG search
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Tutorials in Jupyter Notebook for MintPy
Intergrate functions of ArcGIS Desktop and ENVI/IDL via python script packages/APIs. Use Jupyter Notebook for codeblock management.
This repo contains open-source tools and tutorials developed by scientists and engineers funded by the NASA TROPESS project.
A collection of Python packages for geospatial analysis with binder-ready notebook examples
A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python
SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of int…
Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.
Code and Notebooks for Yang et al. (2024) on InSAR tropospheric correction based on local texture correlation
This is a Python notebook giving an overview and implementing the accuracy assessments in *Good practices for estimating area and assessing accuracy of land change* by Olfosson et al. (2014).
Notebooks that use Google Earth Engine and CUAHSI to teach and develop remote sensing projects
Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.
Notebooks describing the methods used for the publication: "Empirical up-scaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia. AusEFlux datasets are freely available on Zenodo at the DOI below.
An exploration of NDVI and wine quality using Google Earth Engine and geemap in a Jupyter notebook environment.
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