Kenya soil moisture Analysis

Overview

This project focuses on analyzing soil moisture data for Kenya, spanning the years 1983 to 2024. The data is sourced from TAMSAT and involves several key steps, including downloading, clipping, and visualizing soil moisture metric

Objectives

Data Acquisition: writing a python script to download soil moisture data from TAMSAT data repository

Data Processing Mapping/clipping the data to Kenya's geographical boundaries as our main region of focus Calculate and visualize monthly, quarterly (three-month average), and Annual soil moisture averages.

Extracting the processed soil moisture data and export it to Excel in a matrix time series format for different wards separatelyfor further analysis

Data

Data was sourced from TAMSAT and has the following properties. Spatial domain African continent, including Madagascar (N: 37.375°, S: -35.375°, W: -17.875°, E:51.375°)

Dimensions 292 pixels (latitude) by 278 pixels (longitude)

Spatial resolution 0.25° (approx. 25km)

Time-step daily, pentadal, dekadal, monthly, seasonal

Data format - NetCDF

Available variable - sm_c4grass

Cost and Terms of use - TAMSAT data are free to use and are released for operational, research and commercial use under the terms of the Creative Commons Attribution 4.0 International license (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.

Read more at : https://research.reading.ac.uk/tamsat/soil-moisture/

Run Locally

Clone the project

  git clone https://github.com/kiptoorono/Kenya-soil-moisture-Analysis.git

Go to the project directory

  cd Kenya-soil-moisture-Analysis

Install dependencies

    pip install -r requirements.txt

Download Kenya Shape file level 3 from GADM

link -> https://gadm.org/download_country.html

Run the data downloading script

  WebCrawler.py

Run the quaterly plots script

  quaterly plots.py

run the data fetching script for the time series

  Time Series Matrix.py

Note

Make changes to directory paths in the scripts

Documentation

Kenya-soil-moisture-Analysis Docs