Forest loss is spatial and temporal issue of concern for any governance. Due to limitation of man power, money or resources the issue requires first to point out most critical area i.e. Geospatiotemporal hotspot and then prioritize it so the most needed area always concern first.Geo-spatiotemporal hotspot detection is a scan statistical process that identifies a region exhibiting characteristics of interest (unusual, anomaly, outbreak, critical resources area) over the period. The hotspot detection is a statistical process. It requires geospatial dataset as an input which includes two variables for hotspot detection, Size or Population and Response or Cases. In deforestation hotspot detection, size variable is a total area of forest while response variable is a deforested area. In this paper we figure out deforestation hotspot using Normalized Difference Vegetation Index (NDVI) as a response variable. The paper presents and elaborates algorithm that causes use of NDVI as a response variable. This paper discusses the multi-criteria or multi-indicator ranking methods using Partially Order Set (POSET) which uses as a prioritization tool.
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