The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Vol. 17 No. 1 (2020)

DETECTING THE SURFACE WATER AREA IN CIRATA DAM UPSTREAM CITARUM USING A WATER INDEX FROM SENTINEL-2

Suwarsono (Unknown)
Fajar Yulianto (Unknown)
Hana Listi Fitriana (Unknown)
Udhi Catur Nugroho (Unknown)
Kusumaning Ayu Dyah Sukowati (Unknown)
Muhammad Rokhis Khomarudin (Unknown)



Article Info

Publish Date
25 Nov 2025

Abstract

This paper describes the detection of the surface water area in Cirata dam, Â upstream Citarum, using a water index derived from Sentinel-2. MSI Level 1C (MSIL1C) data from 16 November 2018 were extracted into a water index such as the NDWI (Normalized Difference Water Index) model of Gao (1996), McFeeters (1996), Roger and Kearney (2004), and Xu (2006). Water index were analyzed based on the presence of several objects (water, vegetation, soil, and built-up). The research resulted in the ability of each water index to separate water and non-water objects. The results conclude that the NDWI of McFeeters (1996) derived from Sentinel-2 MSI showed the best results in detecting the surface water area of the reservoir.

Copyrights © 2020






Journal Info

Abbrev

ijreses

Publisher

Subject

Earth & Planetary Sciences

Description

The International Journal of Remote Sensing and Earth Sciences (IJReSES), published by Badan Riset dan Inovasi Nasional (BRIN) in collaboration with the Ikatan Geografi Indonesia (IGI) and managed by the Department of Geography Universitas Indonesia, is a pivotal platform in the global dissemination ...