Analysis of spatial distribution of habitat oncomelania hupensis using landsat etm data in Lindu plain, Central Sulawesi

Padjadjaran Earth Dialogues, International Symposium on Geophysical Issues

Kurniawan, Muhamad^1 ; Supriatna^1 ; Dimyati, Muhammad^1

Department of Geography, University of Indonesia, Jl. Margonda Raya, Depok

16424, Indonesia^1

关键词: Habitat distribution;    Humidity index;    Random pattern;    Remote sensing analysis;    Significant variables;    Spatial analysis;    Stepwise regression;    Vegetation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/311/1/012015/pdf
DOI  :  10.1088/1755-1315/311/1/012015

来源: IOP

【 摘 要 】

Transmission Schistosomiasis Japonicum, parasite disease by Schistosoma worm infection is closely related to the distribution of slugs Oncomelania Hupensis Linduensis. Spatial deployment of snail habitats can be traced through the geographical characteristics of their lives. This research was conducted to build spatial analysis model of the distribution of snail habitat using Landsat data to extract vegetation index information (NDVI), land humidity index (TVDI), land cover, with data supporting land inclination, altitude, distance from the river, distance from the lake, soil surface, and rainfall. Research conducted in the Lindu Plains was analyzed by stepwise regression to identify the ecological determinants of Oncomelania Hupensis Linduensis life. The results show that TVDI, land coverage, NDVI, and LST are the most significant variables with 85.9% correlation and 87.03% accuracy. From the modeling analysis, it is known that Oncomelania Hupensis habitat distribution shows a random pattern. By knowing the characteristics of Oncomelania Hupensis habitat distribution through remote sensing analysis, it is expected to monitor the movement of the habitat, so that the step can be used to help control the habitat referred to as host of Schistosomiasis disease in Indonesia.