A systematic, multi-layer evaluation of large-area agricultural potential in Al Lith Governorate, Makkah Province — combining FAO land evaluation guidelines, real 3D satellite terrain, and bilingual opportunity analysis. Select a module below to explore.
تقييم منهجي متعدد الطبقات للإمكانات الزراعية في محافظة الليث — يجمع بين إرشادات FAO والتضاريس الفضائية ثلاثية الأبعاد وتحليل الفرص ثنائي اللغة. اختر أحد المحاور أدناه للاستكشاف.
Decision-maker dashboard synthesising all three frameworks — Zone A/B/C/D classification, key findings, crop recommendations by zone, and Phase 2 GIS roadmap.
5 land quality groups · 18 assessed qualities · FAO C1–CN class thresholds · Limiting factor rule applied · Subclass letters (s,w,e,c,t,z,f,n) · 20 clickable references.
Interactive 3D terrain with 6 evaluation layers stacked above the landscape. Switch between the procedural Three.js model and real MapTiler satellite terrain. Click any layer to expand its elements and explore the assessment criteria.
The full FAO-based land evaluation framework with 6 categories and 34 decision elements. Adjustable weights, priority levels, assessment rationale, and a complete scoring lookup table with Al Lith-specific thresholds for field assessors.
Six-angle analysis of Al Lith's agricultural investment potential — from the 12,000 ha existing watermelon base to Vision 2030 alignment. Fully bilingual English / Arabic with RTL layout, crop portfolio, constraint analysis, and three development scenarios.
24 spectral indices + SAR across 6 tabs — Vegetation, Soil & Degradation, Salinity, Water & Moisture, Thermal & Built-up, Change Detection. Sample Al Lith values and interpretation guide.
4 relational tables — Categories (6), Elements (34), Lookup Scores (170 rows), Units Reference (42). Searchable, sortable, filterable. Export to CSV. Ready for database import or GIS integration.