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All Journal Jurnal Pengembangan Energi Nuklir Majalah Geografi Indonesia JPG (Jurnal Pendidikan Geografi) JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) MAJALAH ILMIAH GLOBE Jurnal Geografi JRST (Jurnal Riset Sains dan Teknologi) International Journal of Remote Sensing and Earth Sciences (IJReSES) Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi JGISE-Journal of Geospatial Information Science and Engineering Jurnal Riset Jakarta Makara Journal of Technology International Journal of Sustainable Competitiveness on Tourism Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Eko Kusratmoko
Departemen Geografi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Indonesia
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Detection of Urban Landscape Changes in Surabaya for the Years 2014-2024 Based on NDVI and NDBI Analysis of Landsat 8 OLI Imagery Widiastuti, Rastika; Wijaya, Muhammad Sufwandika; Al Kautsar, Azhari; Widiana Putri, Inanditya; Kusratmoko, Eko
JURNAL GEOGRAFI Vol. 17 No. 1 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i1.59320

Abstract

This study investigates urban landscape changes in Surabaya from 2014 to 2024 using NDVI and NDBI indices derived from Landsat 8 OLI imagery. The Earth Engine platform was employed to generate cloud-free composite images, enabling detailed analysis of vegetation and built-up area changes. The methodology included a bivariate geovisualization technique to display areas of change, comparing NDVI and NDBI values over a decade to assess changes at a granular level. Results indicate that the 'Vegetation Stable - Built-up Area Stable' category dominates, covering 2422 km², suggesting consistent land use in established areas. This dominance indicates well-established land use patterns across much of the city. Significant urbanization is observed in the 'Vegetation Decreased - Built-up Area Increased' (70 km²) and 'Vegetation Stable - Built-up Area Increased' (177 km²) categories, reflecting ongoing development pressures. These areas highlight zones of active development and environmental intervention. Additionally, a 75 km² increase in vegetation, particularly in coastal mangrove regions, highlights successful environmental management efforts. The study achieved an overall accuracy of 71%, demonstrating the effectiveness of NDVI and NDBI in capturing urban dynamics. While some classes require improved detection accuracy, particularly those involving decreased built-up areas, the model reliably identifies increases in vegetation and built-up areas.
Assessing Future Spatial Distribution of the Seasonal Rainfall in Bintan Islansd using the Downscaled CORDEX-SEA models Narulita, Ida; Dwita Sutjiningsih; Eko Kusratmoko; Muhamad Rahman Djuwansah; Faiz Rohman Fajary; Widya Ningrum
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 2 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v21i2.9068

Abstract

Sustainable water resource management must consider climate change to minimize climate disasters. The water resources of Bintan island are limited, although rainfall is quite high, but the small catchment area and the component rocks of the island of Bintan have low water retention capacity. Currently, Bintan Island is experiencing an increase in water needs due to population growth and economic activities. Therefore, understanding changes in seasonal rainfall in the future is important on this island. This paper aims to study the chances of future seasonal rainfall variability using long-term projection climate modeling. Currently, a high-resolution climate model is available for historical and future periods, namely CORDEX-SEA for the Southeast Asia region. Because the study area is a small island with an area of around 1170 km2, the resolution of the CORDEX-SEA projection climate model data is insufficient. This study uses a statistical downscaling method with quantile mapping to detail the spatial resolution. The results of the analysis show that rainfall on Bintan Island is likely to change in the future due to climate change. Rainfall in Bintan Island in the future will likely be below normal rainfall in all seasons, except in the northern part of Bintan in the SON season. The greatest posibility of rainfall is below normal rainfall in the JJA season. The analysis results show that the eastern part of Bintan Island is a suitable area to build a water reservoir for managing water shortages in Bintan island caused by potentially decreasing rainfall in the future.
ASSESSMENT OF FLASH FLOOD HAZARD POTENTIAL IN A SMALL MOUNTAINOUS CIKUNDUL WATERSHED IN CIANJUR, WEST JAVA, INDONESIA Eko Kusratmoko; Armila Rista Septina; Muhammad Attorik Falensky
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 1 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3918

Abstract

Flash flood is a geomorphic hazard that can cause huge losses in a short period of time. Cianjur regency, especially Cikundul Watershed is a flash flood frequent area. Therefore, flash flood potential mapping is needed to reduce the threat that can be caused by flash flood. In the flash flood potential mapping, Flash Flood Potential Index (FFPI) method is still rarely applied in Indonesia. This study aims to see the comparison of flash flood potential areas based on models developed in the FFPI method which is Smith, Brewster, Krudzlo, and Ceru models. The four models used slope, land use, soil texture, and vegetation cover as variables. Spatial analysis and statistical test was implemented to validate the flash flood potential areas with flash flood affected locations. The result reveals that Cikundul Watershed was dominated by moderate potential areas based on Brewster, Krudzlo, and Ceru model but low by Smith model. The result also reveals that 65% of 68 Sub-Sub Watershed have different potential and 35% have same potential. High potential areas in all four models was distributed in the Upper Cikundul Watershed. The Crosstab Fit Test result shows that Smith model is the closest model to the actual event.
MAPPING BURNT AREAS USING THE SEMI-AUTOMATIC OBJECT-BASED IMAGE ANALYSIS METHOD Hana Listi Fitriana; Suwarsono; Eko Kusratmoko; Supriatna
International Journal of Remote Sensing and Earth Sciences Vol. 17 No. 1 (2020)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3281

Abstract

Forest and land fires in Indonesia take place almost every year, particularly in the dry season and in Sumatra and Kalimantan. Such fires damage the ecosystem, and lower the quality of life of the community, especially in health, social and economic terms. To establish the location of forest and land fires, it is necessary to identify and analyse burnt areas. Information on these is necessary to determine the environmental damage caused, the impact on the environment, the carbon emissions produced, and the rehabilitation process needed. Identification methods of burnt land was made both visually and digitally by utilising satellite remote sensing data technology. Such data were chosen because they can identify objects quickly and precisely. Landsat 8 image data have many advantages: they can be easily obtained, the archives are long and they are visible to thermal wavelengths. By using a combination of visible, infrared and thermal channels through the semi-automatic object-based image analysis (OBIA) approach, the study aims to identify burnt areas in the geographical area of Indonesia. The research concludes that the semi-automatic OBIA approach based on the red, infrared and thermal spectral bands is a reliable and fast method for identifying burnt areas in regions of Sumatra and Kalimantan.
SPATIAL PATTERN OF HYDROLOGIC RESPONSE UNIT (HRU) EFFECT ON FLOW DISCHARGE OF CI RASEA WATERSHED USING LANDSAT TM IN 1997 TO 2009 Emiyati; Eko Kusratmoko; Sobirin
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 1 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2709

Abstract

Hydrologic Response Unit (HRU) is a unit formed of hydrological analysis based on geology and soil type, slope, and land cover. This paper discussed the spatial pattern of Hydrologic Response Unit (HRU) in 1997-2009 and its impact on flow Ci Rasea watershed temporally. In this study, SWAT (Soil and Water Assessment Tool) model, based on land cover changed, was used to get HRU and flow in spatially and temporally. This method used Landsat TM 1997, 2003 and 2009 data for land cover and daily rainfall 1997-2009 for flow modeling. The results showed the spatial pattern of HRU in temporally was affected by landcover based on the changing of HRU. The majority of HRU spatial pattern at Ci Rasea watershed were clustered. During 1997-2009, accumulated surface runoff and the changing of flow discharge were affected by changes of HRU spatial pattern. The biggest accumulated surface runoff in Ci Rasea watershed influenced by HRU of agricultural cropland in area of clay soil type with slope slightly obliquely. While the smallest accumulated surface runoff in Ci Rasea watershed influenced by HRU of paddy field in the area of sandy loam soil type with a gentle slope. The changes of HRU agriculture cropland become HRU mixed cropland in area clay soil type with slope at a slight angle and HRU agriculture cropland become HRU paddy field in area, sandy loam soil type with a gentle slope could be decreasing the accumulation of surface runoff in Ci Rasea watershed.
THE EFFECT OF HYDROLOGIC RESPONSE UNIT ON CI RASEA WATERSHED STREAMFLOW BASED ON LANDSAT TM Emiyat; Eko Kusratmoko; Sobirin
International Journal of Remote Sensing and Earth Sciences Vol. 12 No. 2 (2015)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2015.v12.a2689

Abstract

. This paper discusses spatial pattern of Hydrologic Response Unit (HRU), which is a unit formed of hydrological analysis, including geology and soil type, elevation and slope, and also land cover in 2009. This paper also discusses the impact of HRU on streamflow of Ci Rasea watershed, West Java. Ci Rasea watershed is located at the upstream part of Ci Tarum watersheds in West Java Province, Indonesia. This research used SWAT (Soil and Water Assessment Tool) model to obtain spatial HRU and river flow. The method used Landsat TM data for land cover and daily rainfall for river flow modeling. The results have shown spatial pattern of HRU which was affected by land cover, soil type and slope. In 2009, accumulated surface runoff and streamflow changes were spatially affected by HRU changes. The large amount accumulation of river flow discharge happened in HRU with landcover paddy field, silty clay soil, and flat slope. While the low discharge of river flow happened in HRU with plantation, clay soil, and slightly steep slopes as HRU dominant. It was found that accumulation of surface runoff in Ci Rasea watershed can be reduced by changing the land cover type in some areas with clay and slightly steep slope to become plantation area and the areas with sandy loam soil and flat slope can be used for paddy fields. Beside affected by HRU, the river flow discharge was also affected by the distance of sub watershed to the outlet. By using NS model and statistical t-student for calibration and validation, it was obtained that the accuracy of river flow models with HRU was 70%. It meant that the model could better simulate water flows of the Ci Rasea watershed.
Co-Authors . Emiyati . Sobirin . Sobirin Adi Wibowo Al Kautsar, Azhari Ari Nugroho Aris Poniman Armila Rista Septina D. Sukanta Damar Fauzan Bayuhasta Dede Amrillah Desy Puspita Dina Fitriana Djoko Harmantyo Dwita Sutjiningsih Emiyat Emiyati fadli syamsudin Faiz Rohman Fajary Falensky, Muhammad Attorik Fathiyya Ulfa Hana Listi Fitriana Hana Listi Fitriana, Hana Listi Heinrich Rakuasa Heni Susiati Ida Narulita Ida Narulita Junaid, Muhammad Juniati, Atie Tri K, Muhammad Qabus Abid M. P. Tambunan M.H. Dewi Susilowati Mufti Petala Patria Muhamad Djuwansah Muhamad Rahman Djuwansah Muhammad Attorik Falensky Muhammad Sufwandika Wijaya Nadhi Sugandhi P, Cindy Adria A. Parluhutan Tambunan, Rudy Prasetya, Ferdian Adhy Purwaningsih, Yuli Putiamini, Sepanie Putra, I Kadek Yoga Dwi Raditia, Mohammad Rahmawati Rahayu Rakyan Paksi Nagara Randhi Atiqi, Randhi Ratna Saraswati Ratna Saraswati, Ratna Rizqi, Bayu Roby Dwiputra Safira Nur Aisyah Satria Indratmoko Sayidah Sulma Sayidah Sulma, Sayidah Septina, Armila Rista SOBIRIN Sobirin . Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Suwarsono Suwarsono Suwarsono Tito Latif Indra Wahyu Pandoe Widiana Putri, Inanditya Widiastuti, Rastika Widya Ningrum Yarianto Sugeng Budi Susilo