abdulquawiyy-owolabi/Kano-Municipal-Land-Surface-Temperature-LST-Trend-Analysis

Domain:

geospatial

Creator:

abd

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This repository contains a comprehensive analysis of Land Surface Temperature (LST) trends in Kano Municipal, Nigeria from 2013 to 2024 using Landsat 8 imagery. The analysis examines LST variations across different land use categories and employs multiple statistical methods to identify significant trends and patterns. # Spatiotemporal Land Surface Temperature Trend Analysis of Kano Municipality (2013-2024) ## Overview This repository contains a comprehensive analysis of Land Surface Temperature (LST) trends in Kano Municipal, Nigeria from 2013 to 2024 using Landsat 8 imagery. The analysis examines LST variations across different land use categories and employs multiple statistical methods to identify significant trends and patterns. ## Project Objectives - Analyze the LST trends in Kano Municipal over an 11-year period (2013-2024) - Identify land use specific temperature patterns and their changes over time - Determine the statistical significance of observed trends - Examine spatial distribution of temperature changes in the study area - Assess extreme temperature events and their frequency ## Data - **Boundary Data**: Boundary data from FAO - **Primary Data**: Landsat 8 satellite imagery (2013-2024) - **Land Use Classification**: Built-Up Area (BUA), Bare land, Cropland, Tree cover, Shrubland, and Grassland from ESA WorldCover 10m v100 - **Points of Interest (POI)**: LST values extracted for various land use categories ## Methodology The study employed multiple analytical approaches to ensure robust results: 1. **Data Collection**: Landsat 8 imagery was retrievd for the years 2013 to 2024 using google earth engine (GEE). 2. **Land Surface Temperature Calculation**: THe rtrieved Landsat image collection was processed and used to calculate LST from 2013 to 2024. The resulting images were in form of image collection 3. **Land Use POI**: - Identification of different land use categories using the ESA 10m Land Cover classification - Selection of Points of Interest (POI) for each land use type (in QGIS) - Extraction of LST values at these points 4. **Statistical Analysis**: - **Mann-Kendall Test**: Non-parametric test used to assess the significance of trends in LST over time. - **Quantile Regression Analysis (QR)**: Analysis of trends across different temperature percentiles. - …

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