Multitemporal Spatial Risk Index of Illicit Crops in Colombia
Track: Modeling Techniques
Authors: Juan Rojas, Rafael Vargas, Juan Ardila
Illicit crops grow in most of Colombia making difficult to prioritize state attention. We present the illicit crop spatial risk index as a decision making tool. The index is based on 15+ yrs data derived from imagery and field reports. The index considers: intensity, hotspots distance, persistence and dispersion. Variables are calculated using spatial analysis over a national grid and weighted with PCA. The procedure is automated with Arcpy Python. We present results and accuracy assessment.