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The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Published by Badan Riset dan Inovasi Nasional
ISSN : 02166739     EISSN : 2549516X     DOI : https://doi.org/10.55981/ijreses
Core Subject : Science,
Earth & Planetary Sciences
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 of research in earth sciences and remote sensing. It aims to enrich the literature in these fields and serves as a key resource, particularly in Indonesia and Asian countries, while extending its reach worldwide. The journal is instrumental in complementing the body of knowledge in Remote Sensing and Earth Sciences and is committed to fostering the participation of young scientists, especially from Indonesia and Asian countries. Scope and Focus: IJReSES encompasses a wide spectrum of topics related to remote sensing and earth sciences, including but not limited to: - Remote sensing technologies and methodologies - Geospatial data acquisition, processing, and analysis - Earth observation and satellite imagery - Geographic Information Systems (GIS) - Environmental monitoring and management - Climate change and its impacts - Natural resource management - Land use and land cover change - Urban and rural development - Disaster risk reduction and response - Geology and geomorphology - Soil and water sciences - Biodiversity and ecosystem studies
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 327 Documents
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UTILIZATION OF GEOGRAPHIC INFORMATION SYSTEM BASED ON UNMANNED AERIAL VEHICLE (UAV) FOR DETAILED MAPPING OF SRIWEDARI CULTURAL HERITAGE COMPLEX IN SURAKARTA CITY Dewi Novita Sari; Tri Cahyo Utomo; Muhammad Doriski
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.a3908

Abstract

Sriwedari cultural heritage complex in the City of Surakarta, Middle Java, is one of the buildings from the golden era of Keraton Kesunanan of Surakarta. Sriwedari park was built as a recreation area, entertainment, and recreation place for the Keraton family, which is why it’s called “Kebon Rojo” (Park of King). Besides being a park, there are a couple of other cultural heritage buildings like Radya Pustaka museum, Wayang Orang Building, Sriwedari Stadium, and Segaran. According to the Ministry of Education and Culture Republic of Indonesia, Sriwedari has become a kind of cultural heritage in the form of sites. The purpose of this research (1) Utilization of spatial based technology using a Geographic Information System that can map in detail the location of cultural heritage with the data sources from the Unmanned Aerial Vehicle (UAV) complete with the coordinate position and supporting information; (2) 3D Visualization using GIS-based software for distributive functional communication media that is communicative for the people. There are three stages of methods in this research. First, license/permission and collecting coordinate data (Ground Control Point) GCP, data of object distance in the field, and other information related to functions of every building. Second, UAV data processing uses spatial-based software, Agisoft Photoscan, and ArcGIS. Third, 3D and 2D map visualization about the building detail, function, and other information is available at Sriwedari Cultural Heritage Complex.
THE SPATIO-TEMPORAL DYNAMIC IN WATER NEAR PALABUHAN RATU COAL FIRE PLANT, SUKABUMI, WEST JAVA Niken Anissa Putri; Masita Dwi Mandini Manessa; Hafid Setiadi
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3812

Abstract

Indonesia Power PLTU Jabar 2 Palabuhanratu's activities have an impact on the quality of the surrounding river water and ocean. Monitoring the quality of the water thereafter became an important factor. Using remote sensing technologies, the spatial and temporal sea surface temperature and chlorophyll-a of water can be determined. This study aims to (1) ; (2) ; and (3) . River water and ocean quality, including physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (1) River water and saltwater quality in the Cimandiri Downstream River and Batu Bintang Beach are suitable with regard to physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (2) According to Health Ministerial Regulation No. 32/2017 and Government Regulation No.22/2021, the river and seawater quality in the Cimandiri Downstream River and Batu Bintang Beach for clean water is adequate in terms of physical characteristics (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (3) The average Salinity from August through November of 2021 was 20.76 ppt, 16.25 ppt, 15.76 ppt, and 18.51 ppt. The average Salinity between April and July of 2022 was -2.74 ppt, 3.51 ppt, 0.51 ppt, and 4.25 ppt.
PLATFORM REEF LAGOON DETECTION FROM SENTINEL-2 IN PANGGANG ISLAND AND SEMAKDAUN ISLAND Wikanti Asriningrum; Azura Ulfa; Kholifatul Aziz; Kuncoro T. Setiawan; Dyah Pangastuti
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3804

Abstract

Processing of satellite image data for the detection of platform reef lagoons is intended as one of the geo-physical parameters of the reef landform. Panggang Island and Semakdaun Island were chosen to make the detection model because they are ideal for lagoon reef landforms and tapulang court reefs. This model is only valid in the continental shelf area and the back arc and small island tectonic type. Determination of this location is done to improve the accuracy of spectral-based data processing. Platform reefs are one of four classes of reef landforms. Sentinel-2A data with a spatial resolution of 10m, blue, green, red, and near infrared bands were selected to investigate their ability to detect lagoons. Processing of data by calculating the Optimum Index Factor (OIF) to produce a composite image and drawing transect lines to produce pixel values and spectral graphics of the lagoon. The results of data processing in the form of graphs, composite images and pixel values were built to realize a digital lagoon detection model. These results are used for lagoon growth stage analysis for the classification of three reef platform landforms, visually and digitally interpretation. This digital and visual detection system design is useful for monitoring coral reef ecosystems.
TEA PLANTATION MAPPING USING UAV MULTISPECTRAL IMAGERY Dedi Septyadi; Enrico Gracia; Riza Putera Syamsuddin
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3817

Abstract

Tea is one of Indonesia’s most famous commodities, which is dominantly planted on the Java Island of Indonesia. Tea is one of the leading sources of exports, and the Indonesian government is very concerned about the stability of their export commodity sustainability. Therefore, monitoring and evaluating its sustainability and availability become necessary. One of the solutions to the tea plantation monitoring and management program is mapping through remote sensing and GIS. In this study, high-resolution multispectral imageries are captured from a UAV and used to map the tea plantation with three vegetation indexes (VIs). An Object-Based Image Analysis (OBIA) is used to classify the tea field’s condition based on spectral characteristics. The results of this study are: (i) high-resolution multispectral imageries can be used to map the tea plantation with different VIs, and (ii) SAVI is the best VI to map the tea plantation since it has the lowest RMSE value with observed data. Hopefully, this study can support the government program on their export commodity with valuable baseline information on the tea plantation.
THE EFFECT OF LEAF AREA INDEX CHANGES ON LAND SURFACE TEMPERATURE IN WEST KALIMANTAN Aprilina Aprilina; Riza Adriat; Laras Toersilowati
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.a3898

Abstract

West Kalimantan, located along the equator, is a tropical area with high surface temperatures. Decreasing forests or green spaces in this region could endanger the creatures living there, due to rising surface temperatures. Hence, analyzing the impact of Leaf Area Index changes on soil surface temperature is vital. This research employed remote sensing technology via the Terra-MODIS satellite to analyze this impact. The satellite imagery was used to determine Leaf Area Index (LAI) and Land Surface Temperature (LST), using image data from 2001 and 2021 in West Kalimantan Province. The research revealed that the region underwent changes, with wide pine forests being replaced by savanna land. The surface temperature value with the largest distribution area remained between 25ᵒC to 30ᵒC in both 2001 and 2021. LAI changes affected LST by 46% to 47%, but substantial changes require a significant number of years to observe.
DETECTION OF WATER-BODY BOUNDARIES FROM SENTINEL-2 IMAGERY FOR FLOODPLAIN LAKES Azura Ulfa; Fajar Bahari Kusuma; A. A. Md. Ananda Putra Suardana; Wikanti Asriningrum; Andi Ibrahim; Lintang Nur Fadlillah
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3827

Abstract

The impact of climate and human interaction has resulted in environmental degradation. Consistent observations of lakes in Indonesia are quite limited, especially for flood-exposure lake types. Satellite imagery data improves the ability to monitor water bodies of different scales and the efficiency of generating lake boundary information. This research aims to detect the boundaries of flood-exposure type lake water bodies from the detection model and calculate its accuracy in Semayang Melintang Lake using Sentinel-2 imagery data. The characteristics of water, soil, and vegetation objects were investigated based on the spectral values of the composite image bands from the Optimum Index Factor (OIF) calculation, to support the lake water body boundary detection model. The Object-Based Image Analysis (OBIA) method is used for water and non-water classification, by applying the machine learning algorithms random forest (RF), support vector machine (SVM), and decision tree (DT). Model validation was conducted by comparing spectral graphs and lake water body boundary model results. The accuracy test used the confusion matrix method and resulted in the highest accuracy value in the SVM algorithm with an Overall Accuracy of 95% and a kappa coefficient of 0.9. Based on the detection model, the area of Lake Semayang Melintang in 2021 is 23392.30 ha. This model can be used to estimate changes in the area of the flood-exposure lake consistently. Information on the boundaries of lake water bodies is needed to control the decline in the capacity and inundation area of flood-exposure lakes for management and monitoring plans.
ANALYSIS OF TSUNAMI EVACUATION ROUTE PLANNING IN KULON PROGO REGENCY Bernadeta Aurora Edwina Kumala Jati; Muhammad Falakh Al Akbar; Tri Wahyuni; Ernani Uswatun Khasanah; Amelia Rizki Gita Paramanandi; Hubertus Ery Cantas Pratama Sutiono; Dwiana Putri Setyaningsih; Wirastuti Widyatmanti; Totok Wahyu Wibowo
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3823

Abstract

Situated on the southern coast of Java Island, Kulon Progo Regency is prone to tsunami hazards since it directly faces the subduction zone of the Eurasian Plate and the Indo-Australian Plate. The road condition on the coast of Kulon Progo Regency, which extends from east to west, can be an obstacle in the evacuation process if there is no proper evacuation route planning. Total population in the study area reached 149,574 people. Therefore, it is essential to plan an evacuation route in the coastal area of Kulon Progo Regency. This study proposes the tsunami evacuation route and evaluates it with field conditions on the coast of Kulon Progo Regency. The evacuation route was built using Multi-Criteria Based Least Cost Path Analysis, which uses road network, land use, and slope data as parameters. The least cost path analysis for determining the evacuation route was carried out in 2 scenarios, namely for vehicles and pedestrians. The results of the least cost path analysis of the vehicle scenario are considered less suitable because the results are more through land use and away from the road network. The pedestrian evacuation scenario is more in line with reality because it produces a path adjacent to the road network so that it can be passed either by vehicle or pedestrian.
UTILIZATION OF SPOT 6/7 AND LANDSAT TO ANALYZE OPEN GREEN SPACE AND BUILT AREA IN SURABAYA CITY Mohammad Ardha; Nurwita Mustika Sar; Mukhoriyah
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.a3904

Abstract

The migration of people from rural to urban areas is a common phenomenon nowadays. One of the goals of urbanization is in the city of Surabaya. The increase in population causes the need for housing and the need for life to increase. One of the many changes in land use is the change of land into built-up land. The increase in the area of built-up land currently raises a new phenomenon where the area of open space is reduced due to changes in land use, one of the changes in land use is from green open space to built-up land. This study aims to see the extent to which the growth trend of green open space and built-up land in the city of Surabaya by using the NDVI method to see the trend of changes in green open space in the city of Surabaya and NDBI for the land built in the city of Surabaya. The data used in this study are SPOT 7 images for green open space and Landsat 8 for built land. Based on this method, green open space in the city of Surabaya in 2015 was 29.19%, in 2016 it was 21.22%, then in 2017 it was 24.54 %, and in 2018 it was 27.60%. While for Built land in 2015, it was 26.43%, in 2016 it was 26.44%, in 2017 it was 30.99% and in 2018 it was 42.88%. Other results were also obtained for the change of green open space into the land. awakened has increased every year, namely from 2015 to 2016 by 2.67%, from 2016 to 2017 by 4.43%, and from 2017 to 2018 by 8.08%. As for the land built into green open space, namely 2015 to 2016 of 2.01%, 2016 to 2017 of 2.84%, 2017 to 2018 of 2.72%. The conclusion from this activity is that NDVI can be used to see the level of vegetation density which can indicate the existence of green open space in urban areas. And NDBI can show the existence of built-up land. The city of Surabaya, has stable green open space, while the built land continues to increase every year.
SPATIAL MACHINE LEARNING FOR MONITORING TEA LEAVES AND CROP YIELD ESTIMATION USING SENTINEL-2 IMAGERY, (A Case of Gunung Mas Plantation, Bogor) Dini Nuraeni; Masita Dwi Mandini Manessa
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3830

Abstract

Indonesia's tea production and export volume have fluctuated with a downward trend in the last five years, partly due to the increasingly competitive world tea quality. Crop yield estimation is part of the management of tea plucking, affecting tea quality and quantity. The constraint in estimating crop yields requires technology that can make the process more effective and efficient. Remote sensing technology and machine learning have been widely used in precision agriculture. Recently, big data processing, especially remote sensing data, machine learning, and deep learning have been carried out using a cloud computing platform. Therefore, we propose using GeoAI, a combination of Sentinel-2A imagery, machine learning, and Google Collaboratory, to predict ready for plucking tea leaves at optimal plucking time at Gunung Mas Plantation Bogor. We used selected bands of Sentinel-2A and extracted more features (i.e., NDVI) as a training set. Then we utilized the tea blocks boundary and tea plucking data to generate labels using Random Forest (RF) and Support Vector Machine (SVM). The classification results were further used to estimate the production of crop tea yield. The RF classifier is able to achieve overall accuracy at 51% and SVM at 54%. Meanwhile, accuracy at optimally aged tea blocks is able to achieve at 75.62% for RF and 52.88% for SVM. Thus, the SVM classifier is better in terms of overall accuracy. Meanwhile, the RF classifier is superior in predicting ready for plucking tea at optimally aged tea blocks.
HYDRODYNAMICS MODELING IN KENDARI BAY, SOUTHEAST SULAWESI, INDONESIA Imalpen Imalpen; Tri Prartono; Rastina; Alan Frendy Koropitan; Amir Yarkhasy Yuliardi
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.a3906

Abstract

Kendari Bay is coastal water in the center of the capital city of Southeast Sulawesi province. It is shaped like a pocket with a narrow mouth and there is an estuary of a large river, namely the Wanggu river, which makes the dynamics of its waters very interesting to study. The focus of the study is the hydrodynamic factors in the Kendari Bay and Wanggu River areas. This study aims to examine the hydrodynamic conditions of Kendari Bay, mainly due to the existence of reclamation and the influence of the Wanggu River which has not been studied previously. This research method uses a two-dimensional model based on bathymetric data, tides, and the flow of the Wanggu River with a simulation time of 15 days (1 March to 15 March 2020). The modeling results were then verified with PUSHIDROSAL tidal elevation data showing an RMSE value of 0.07 indicating that the model was well constructed. The mixed tidal type with a tendency to double daily is the tidal type of Kendari Bay waters based on the Formzahl number value of 0.51. The current pattern generally moves in and out from east to west and vice versa with a varying elevation range following spring conditions of 1.75 m. The maximum tidal speed is 0.1784 m/s and the minimum value is 0.0057 m/s which is shown in the sample results of the model when the hing to low tide, and low to high tide. The results of the hydrodynamic modeling show that the current velocity increases when passing through a narrow path, namely the bay estuary and river estuary. The existence of the reclamation area affects the changes in the velocity of the current which is significantly larger and the direction of the current that undergoes a deflection follows the shape of the reclamation area. The current direction is to the southeast and then turns towards the northeast when low to high tide and eastward then turns towards the northeast when the high to low tide spring conditions compared to research before the reclamation

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