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GIS-Based Enhanced Farm Viability Assessment

Kachia LGA, Kaduna State, Nigeria

A spatial analysis project assessing smallholder farm viability to support agricultural loan disbursement and farmer onboarding, modelled on ThriveAgric's farm mapping workflow.


Farm Classification


📌 Project Overview

This project uses GIS-based spatial analysis to assess the agricultural viability of 24 sample smallholder farms in Kachia LGA, Kaduna State, one of Nigeria's leading ginger producing zones. Eight environmental factors were combined into a single Farm Viability Score using weighted overlay analysis, with all data processed at 30m resolution.


🗺️ Maps

Enhanced Farm Viability Score

Farm Viability

Factor Analysis

Factor Maps

Soil Quality Index

SQI Map


📊 Key Results

Class Farms % FAO Recommendation
High 10 42% S2 Full loan disbursement
Medium 12 50% S2 Standard conditions
Low 2 8% S2 Field verification

All 24 farms = FAO S2 Moderately Suitable


🔑 Key Findings

  • Water proximity is the primary limiting factor
  • Kachia is predominantly flat — ideal for farming
  • Soil fertility is moderate — responds well to inputs
  • SQI: 0.587–0.678 (Moderate to Good)
  • pH 5.5–6.4 — ideal for ginger, maize, sorghum
  • All farms within FAO S2 classification

⚙️ Methodology

All data processed in QGIS 3.40, EPSG:32632

Suitability Factors & Weights

Factor Source Weight
Organic Carbon iSDAsoil 30m 20%
NDMI Moisture GEE Landsat 8 15%
Nitrogen iSDAsoil 30m 15%
Soil Texture iSDAsoil 30m 15%
pH iSDAsoil 30m 10%
Slope USGS SRTM 10%
Water Distance OpenStreetMap 10%
Phosphorus iSDAsoil 30m 5%

Weighted Overlay Formula

Viability = (Carbon×0.20) + (NDMI×0.15) + 
(Nitrogen×0.15) + (Texture×0.15) + 
(pH×0.10) + (Slope×0.10) + 
(Water×0.10) + (Phosphorus×0.05)

Soil Quality Index

SQI = (Carbon×0.30) + (Nitrogen×0.25) + 
      (Phosphorus×0.25) + (pH×0.20)

🛠️ Tools

Tool Purpose
QGIS 3.40 GIS analysis and map production
Google Earth Engine Landsat 8 NDMI processing
iSDAsoil (30m) African soil property data
GDAL Proximity Water distance rasters
QGIS Zonal Statistics Farm score extraction
Google Earth Pro Farm digitizing

📁 Repository Structure

├── Farm_Viability.png
├── Farm_Classification.png  
├── Factor_Maps.png
├── SQI.png
├── Farm_Viability_Results.csv
├── Farm_Viability_Assessment_Kachia.pdf
└── README.md

📂 Data Sources

Dataset Source
Soil Properties iSDAsoil
DEM/Slope USGS EarthExplorer
NDMI/Landsat Google Earth Engine
Rivers/Water OpenStreetMap
Farm Polygons Google Earth Pro

📄 Full Report

📥 Download Full Report


👤 Author

Timothy Adeneye
Remote Sensing and GIS Analyst
📍 Nigeria
🔗 GitHub


Methodology aligned with ThriveAgric's farm mapping and loan disbursement workflow.

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GIS-based enhanced farm viability assessment using iSDAsoil, Landsat 8 NDMI and SQI for smallholder farmer onboarding For Kachia LGA, Kaduna State, Nigeria

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