kiptoorono/Kenya-soil-moisture-Analysis

This repository contains a Python script for processing and visualizing soil moisture data in Kenya from (19833 to date). # 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 creativecommons.org. Read more at : research.reading.ac.uk ## Run Locally Clone the project ```bash git clone github.com ``` Go to the project directory ```bash cd Kenya-soil-moisture-Analysis ``` Install dependencies ```bash pip install -r requirements.txt ``` Download Kenya Shape file level 3 from GADM link -> gadm.org Run the data downloading script ```bash WebCrawler.py ``` Run the quaterly plots script ```bash quaterly plots.py ``` run the data fetching …