Accuracy Assessment of Andaliman (Zanthoxylum acanthopodium) Growth Suitability Using Google Earth Engine and Presence Data^
Lasriama Siahaan, Decky Indrawan Juneidi, Alan Wahsalam

1. Center for Environmental Research, IPB University
2. Research Center for Ecology and Ethnobiology, National Research and Innovation Agency (BRIN)
3. Department of Forest Resources Conservation and Ecotourism, IPB University

Abstract

The propagation and regeneration of Andaliman (Zanthoxylum acanthopodium DC.) within its natural habitat are characteristically slow and challenging. Ecologically, this species is an endemic plant located in the highland regions surrounding Lake Toba. Despite its limited distribution, Andaliman possesses significant economic and pharmaceutical potential. However, there is a paucity of spatial and temporal data regarding its habitat suitability and growth potential. This study aims to investigate the spatial and temporal dynamics of Andaliman habitat suitability using the Google Earth Engine (GEE) platform, which enables the efficient processing of multitemporal satellite imagery. The research utilizes remote sensing techniques to analyze the dynamics of land suitability. Field surveys provided Andaliman presence point data, which, in conjunction with Sentinel-2A imagery, aimed to enhance accuracy. The data were processed using the Google Earth Engine platform, resulting in a habitat suitability model with an accuracy exceeding 75% and providing valuable insights into temporal vegetation changes. These findings can inform planning efforts by identifying restoration areas and promoting sustainable Andaliman cultivation, thereby supporting conservation initiatives based on Nature-Based Solutions in the Lake Toba region.

Keywords: endemic, GEE, North Sumatera, sentinel-2A, Zanthoxylum acanthopodium

Topic: Topic A: General Remote Sensing