Jalu Tejo Nugroho, Jalu Tejo
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HIGH RISE BUILDING IDENTIFICATION FROM SPOT 6 MULTISPECTRAL AND DIGITAL SURFACE MODEL (DSM) USING OBJECT BASED IMAGE ANALYSIS Zylshal, Zylshal; Nugroho, Jalu Tejo; Prasasti, Indah
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 14, No 2 (2017): July 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v14i2.11583

Abstract

This study focuses on one aspect of urban geometry called urban canyon. Urban canyon defined by a relatively narrow street lined by tall buildings. The initial step to extract the urban canyon is to identify the tall buildings. This study aims to discuss the potential use of the SPOT-6 multispectral data and its digital surface model (DSM), using object-based image analysis methods and terrain analysis, to identify the high-rise buildings in some part of Jakarta, Indonesia. Using slope and elevation percentile from the DSM as well as the spectral information of the SPOT-6 image, we then processed using the Object Image Analysis (OBIA) method and decision tree algorithm (crisp classification), we are able to obtained the identification rate of 78% with mean location accuracy of 30 meter (5 pixels).
DETECTING SURFACE WATER AREAS AS ALTERNATIVE WATER RESOURCE LOCATIONS DURING THE DRY SEASON USING SENTINEL-2 IMAGERY (CASE STUDY: LOWLAND REGION OF BEKASI-KARAWANG, WEST JAVA PROVINCE) Nugroho, Jalu Tejo; Suwarsono, Suwarsono; Chulafak, Galdita Aruba; Julzarika, Atriyon; Manalu, Johannes; Harini, Sri; Suhadha, Argo; Sulma, Sayidah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 2 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3626

Abstract

In Indonesia, drought is a type of disaster that often occurs, especially during the dry season. What is most needed at such times is the availability of sufficient water sources to meet shortages. Therefore, water source locations are vital during the dry season in order to meet needs. To meet this information need, remote sensing data offer a precise solution.  This research proposes a rapid method of detecting surface water areas based on remote sensing image data. It focuses on the use of remote sensing satellite imagery to detect objects and the location of surface water sources. The purpose of the study is to rapidly identify objects and locate surface water sources using Sentinel-2 MSI (MultiSpectral Instrument), one of the latest types of remote sensing satellite data. Several water index (WI) methods were applied before deciding which was most suitable for detecting surface water objects. The lowland region of Bekasi-Karawang, a drought prone area, was designated as the research location. The results of the research show that by using Sentinel-2 MSI imagery, MNDWI (Modified Normalized Water Index) is the appropriate parameter to detect surface water areas in the lowland region of Bekasi-Karawang, West Java Province, Indonesia, during times of drought. The method can be employed as an alternative approach based on remote sensing data for the rapid detection of surface water areas as alternative sources of water during the dry season. The existence of natural water sources (swamps, marshes, ponds) that remain during this time can be used as alternative water resources. Further research is still needed which focuses on different geographical conditions and other regions in Indonesia.
IDENTIFIKASI ZONA POTENSI AIR TANAH BERBASIS SISTEM INFORMASI GEOGRAFIS DAN ANALYTICAL HIERARCHY PROCESS (STUDI KASUS : PROVINSI DAERAH ISTIMEWA YOGYAKARTA) Nugroho, Jalu Tejo; sari, Cici Nurmalasa; Nugraha, Arief Laila
Elipsoida : Jurnal Geodesi dan Geomatika Vol 5, No 1 (2022): Volume 05 Issue 01 Year 2022
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2022.16641

Abstract

Air tanah adalah sumber air yang sangat penting untuk keperluan domestik, pertanian, maupun industri. Konsumsi air tanah terus mengalami peningkatan seiring dengan perkembangan perkotaan. Hal tersebut ditandai dengan pesatnya pertumbuhan penduduk dan peningkatan aktivitas manusia yang membutuhkan sumber daya air. Provinsi DIY merupakan salah satu provinsi di Indonesia yang wilayahnya memiliki akuifer yang cukup besar dengan sumber daya air tanah yang tinggi. Namun, masih terdapat permasalahan terkait potensi air tanah, yakni adanya penurunan muka air tanah dan pencemaran air tanah. Pemetaan potensi air tanah ini bertujuan untuk mengevaluasi penggunaan sumberdaya air tanah di Provinsi DIY. Penelitian ini memanfaatkan bidang kajian Sistem Informasi Geografis dengan metode Analytical Hierarchy Process (AHP) menggunakan parameter-parameter air tanah, yaitu curah hujan, litologi, geomorfologi, kelerengan, tutupan lahan, NDVI, dan Topographic Wetness Index (TWI). Hasil pengolahan Analytical Hierachy Process (AHP) pada identifikasi potensi air tanah Provinsi DIY menghasilkan klasifikasi potensi air tanah sangat rendah dengan luas 0,651 km2, rendah seluas 0,783 km2, sedang seluas 0,718 km2, tinggi dengan luas 0,471 km2, dan sangat tinggi dengan luas 0,528 km2.