CAVE ENTRANCE LOCATION MODEL USING BINARY LOGISTIC REGRESSION: THE CASE STUDY OF SOUTH GOMBONG KARST REGION, INDONESIA

Cave entrance data is crucial as the primary indicator in the underground river inventory of karst area. The data collection was traditionally conducted by field survey, but it is very costly and not efficient. Remote sensing and Geographic Information System (GIS) can help estimate cave entrance l...

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Bibliographic Details
Main Authors: Rakhmat Dwi Putra, Wirastuti Widyatmanti, Retnadi Heru Jatmiko, Tjahyo Nugroho Adji, Deha Agus Umarhadi
Format: Article
Language:English
Published: Geographical Institute "Jovan Cvijić" SASA 2022-12-01
Series:Zbornik Radova: Geografski institut "Jovan Cvijić"
Subjects:
Online Access:http://ojs.gi.sanu.ac.rs/index.php/zbornik/article/view/458