https://github.com/jgomezdans/accra_wkshp

Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra
https://github.com/jgomezdans/accra_wkshp

agricultural-modelling crop-model data-assimilation earth-observation ghana lai modis remote-sensing sentinel-2

Last synced: about 2 months ago
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Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra

• Host: GitHub
• URL: https://github.com/jgomezdans/accra_wkshp
• Owner: jgomezdans
• License: agpl-3.0
• Created: 2019-10-22T10:44:21.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-08-22T10:56:51.000Z (almost 4 years ago)
• Last Synced: 2025-04-25T17:17:58.850Z (about 2 months ago)
• Topics: agricultural-modelling, crop-model, data-assimilation, earth-observation, ghana, lai, modis, remote-sensing, sentinel-2
• Language: Jupyter Notebook
• Homepage: http://jgomezdans.github.io/accra_wkshp
• Size: 30.1 MB
• Stars: 7
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Earth Observation, Crop Modelling & Data Assimilation workhop

## National Centre for Earth Observation (NCEO, UK) & GSSTI (Ghana)



     

         

    

     

         

    

     

         

    



#### J Gomez-Dans (NCEO & UCL) `[email protected]`

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3662767.svg)](https://doi.org/10.5281/zenodo.3662767)

This repository contains a number of Jupyter Python notebooks that demonstrate accessing datasets, including meteo and EO data, developing and running crop models, as well as deploying data assimilation systems to monitor crop growth.

### Running the notebooks on the browser

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/accra_wkshp/1.2?filepath=01-Meteo_Crop_Exploration.ipynb) A brief exploration of meteorological data from an agroclimatology perspective.

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/accra_wkshp/1.2?filepath=02-MODIS_LAI_exploration.ipynb) Exploring MODIS LAI data products over Ghana.

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/demo_ghana/master?filepath=examine_data.ipynb) A brief illustration of Sentinel-2 data over northern Ghana.

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/accra_wkshp/1.2?filepath=03-Production_Efficiency_Modelling.ipynb) This notebook develops the intuition of a very simple production efficiency model (PEM).

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/accra_wkshp/1.2?filepath=04-WOFOST_playground.ipynb) A notebook demonstrating the use of the WOFOST crop model, applied to maize in northern Ghana.

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/accra_wkshp/1.2?filepath=05-DA_wofost.ipynb) Using data assimilation (DA) with crop growth models (WOFOST), an example using the Ensemble Kalman Filter (EnKF)

### Installing on your own computer

If you want to install this on your own computer, you can either close or download the repository, install the [Miniconda](https://docs.conda.io/en/latest/miniconda.html) (or [Anaconda](https://www.anaconda.com/distribution/)) python distribution, and you can install all the required packages using

```

conda env create -f environment.yml

```

This will install your own environment.