Statistics from space: Sampling scheme and crop determination at Gaza province

This presentation outlines the sampling design and crop area estimation methodology used in the Statistics from Space project to improve agricultural statistics and food security monitoring in Gaza Province, Mozambique. The approach employs a stratified spatial sampling framework consisting of 149 randomly selected sampling areas, each represented by a 500 × 500 meter grid with predefined land segments that are validated through field observations and crop identification. Crop acreage is estimated at the segment level and systematically aggregated to sampling area, stratum, and broader administrative levels, including districts, provinces, and national scales. The methodology combines remote sensing, image interpretation, and field-collected ground-truth data to generate statistically robust crop area estimates, providing a foundation for more accurate agricultural production monitoring and evidence-based food security planning. -Abstract generated by Copilot AI 2.2