TY - GEN
T1 - Spatial Habitat Suitability Modeling of the Roti Snake-Necked Turtle (Chelodina Mccordi) Based on Landsat-8 Imagery and GIS
AU - Latifiana, Kurnia
AU - Hartono, null
AU - Danoedoro, Projo
AU - As-Singkily, Maslim
AU - Cahyana, Andi Nugraha
PY - 2018/11/8
Y1 - 2018/11/8
N2 - Landsat imagery can be used to establish spatial habitat suitability modeling for prediction habitat quality and evaluation potential habitat. However, the imagery has to limit information for specific habitat characteristics such as turtles' habitat. Chelodina mccordi is an endemic turtle from Roti Island but many previous studies have been done either biological or non-spatial studies. This study uses Landsat-8 OLI and TIRS as actual data and support with Landsat-5 TM as historical data, through a Geographic Information System (GIS). This study aims to create a spatial habitat suitability map model of C. mccordi and its mapping accuracy. The method that is used for modeling is overlaying indicative parameter maps use of logistic regression to presents the habitat suitability index (HSI). There are nine parameters used for modeling in this study, i.e. normalized difference water index (NDWI), land surface temperature (LST), slope, the topographic wetness index (TWI), distance from high canopy density, distance from settlement and agriculture, distance from freshwater, distance from the sea or salty, and distance from the street. We found three parameters that have strong contribution i.e. the NDWI, the LST, and the TWI. The result of spatial habitat suitability model of C. mccordi based on Landsat-8 OLI/TIRS and GIS analysis presents the value of mapping accuracy is about 75%.
AB - Landsat imagery can be used to establish spatial habitat suitability modeling for prediction habitat quality and evaluation potential habitat. However, the imagery has to limit information for specific habitat characteristics such as turtles' habitat. Chelodina mccordi is an endemic turtle from Roti Island but many previous studies have been done either biological or non-spatial studies. This study uses Landsat-8 OLI and TIRS as actual data and support with Landsat-5 TM as historical data, through a Geographic Information System (GIS). This study aims to create a spatial habitat suitability map model of C. mccordi and its mapping accuracy. The method that is used for modeling is overlaying indicative parameter maps use of logistic regression to presents the habitat suitability index (HSI). There are nine parameters used for modeling in this study, i.e. normalized difference water index (NDWI), land surface temperature (LST), slope, the topographic wetness index (TWI), distance from high canopy density, distance from settlement and agriculture, distance from freshwater, distance from the sea or salty, and distance from the street. We found three parameters that have strong contribution i.e. the NDWI, the LST, and the TWI. The result of spatial habitat suitability model of C. mccordi based on Landsat-8 OLI/TIRS and GIS analysis presents the value of mapping accuracy is about 75%.
KW - conservation
KW - freshwater turtles
KW - Geographic Information System (GIS)
KW - Habitat Suitability Index (HSI)
KW - remote sensing
U2 - 10.1109/ICSTC.2018.8528282
DO - 10.1109/ICSTC.2018.8528282
M3 - Conference paper
AN - SCOPUS:85058505459
T3 - Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018
BT - Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018
PB - IEEE
T2 - 4th International Conference on Science and Technology, ICST 2018
Y2 - 7 August 2018 through 8 August 2018
ER -