TY - JOUR
T1 - Analysis of spatial distribution of habitat oncomelania hupensis using landsat etm data in Lindu plain, Central Sulawesi
AU - Kurniawan, Muhamad
AU - Supriatna,
AU - Dimyati, Muhammad
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/8/15
Y1 - 2019/8/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85071907784&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/311/1/012015
DO - 10.1088/1755-1315/311/1/012015
M3 - Conference article
AN - SCOPUS:85071907784
SN - 1755-1307
VL - 311
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012015
T2 - Padjadjaran Earth Dialogues: International Symposium on Geophysical Issues, PEDISGI 2018
Y2 - 2 July 2018 through 4 July 2018
ER -