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UNIVERSITAS NEGERI PADANG (UNP) Address: Prof. Dr. Hamka Street, Air Tawar, Padang - West Sumatra -Indonesia
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International remote sensing application journal
Published by Universitas Negeri Padang
ISSN : -     EISSN : 27753409     DOI : https://doi.org/10.24036/irsaj.v3i2.34
Core Subject : Science, Education,
Astronomy Computer Science & IT Earth & Planetary Sciences Education
This journal covers the scope of remote sensing which includes: (1) data acquisition; (2) processing data; (3) data storage and distribution; (4) application and utilization of information from remote sensing data. The focus of this journal includes: 1. Remote sensing applications 2. Multi-spectral and hyperspectral remote sensing 3. Active and passive microwave remote sensing 4. Lidar and laser scanning 5. Geometric reconstruction 6. Physical modeling and signatures 7. Change detection 8. Image processing and pattern recognition 9. Data fusion and data assimilation 10. Dedicated satellite missions 11. Operational processing facilities 12. Spaceborne, airborne and terrestrial platforms
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 52 Documents
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SOIL TYPE CLASSIFICATION FOR IDENTIFICATION OF SUITABILITY OF RESIDENTIAL AREAS USING THE SMCA METHOD IN PURBALINGGA REGENCY kurnia anggraini, kurnia
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.52

Abstract

The assessment of land suitability for residential development is an important aspect of sustainable urban planning. This study uses spatial multi-criteria analysis (SMCA) as a tool to identify potential land suitable for the development of residential areas in Purbalingga Regency, by considering soil type as the main variable. The method used involves using a soil-type map of Purbalingga Regency in 2018 as basic data. The classification of soil types is carried out to determine the spatial distribution of soil-types in the region, which includes alluvial, andosol, gleisol, cambisol, Mediterranean, Oxisol, Regosol, Settlement, and Water Body soil types. This study focused on weighting soil types based on suitability for residential areas, where each soil type was scored based on its level of suitability: very inappropriate (score 1), not suitable (score 2), quite suitable (score 3), and very suitable (score 5). The results of the analysis showed that the type of cambisol soil dominates the area with an area of 33,499.934291 hectares. However, the suitability of settlements based on the type of land is generally included in the category of non-conforming. This indicates that although the type of cambisol soil has a large area, its characteristics are less supportive for the development of residential areas. This research can be the basis for determining the optimal location for the development of sustainable settlements in accordance with local land characteristics.
DETECTION OF LAND USE CHANGES USING LANDSAT 8 COMPOSITE BAND 4,3,2 AND BAND 7,6,4 COMPOSITE IMAGES IN 2019 AND 2022 USING THE METHODPOST- CLASSIFICATION COMPARISSON PADANG CITY REGION saputra, eko bima; putri, sri kandi; ernawati, ernawati; febriandi, febriandi
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.53

Abstract

This study aims to 1) determine the area of land use in the city of Padang in 2019 and 2022 using the 4,3,2 (True Color) composite. 2) to determine the area of land use in Padang City in 2019 and 2022 using composite 7,6,4 (False Colour). 3) to find out changes in land use in the City of Padang in 2019 and 2022 using the Post- Classification Comparisson method. Processing is done using Landsat 8 satellite imagery downloaded from the USGS website. Before performing image interpretation, radiometric correction, atmospheric correction and geometric correction are carried out as well as band composite and satellite image cropping with the boundaries of the study area, namely the administrative boundaries of the City of Padang. The interpretation process is carried out using the Maximum Likelihood method using digital image processing applications and Geographic Information Systems (GIS). Change detection analysis method through Post-Classification Comparisson. Accuracy sampling was carried out systematically random sampling with the confusion matrix accuracy test technique. The results of the study in the Padang City area which has an area of 694.96 km2, Land use changes using Composite Band 4,3,2 Mixed Forests experienced a reduction of around 157.58Ha. Open land increased by around 48.85 Ha, rice fields decreased by 397.84 Ha. built-up area increased by around 94.12 Ha. Shrubs and shrubs, an increase of about 412.45 Ha. Changes in land use using Composite Band 7,6,4 Mixed Forest experienced a reduction of around 155.32 Ha. Open land increased by around 48.70 Ha. paddy fields decreased by 399.03 Ha. built-up area increased by around 94.83 Ha. Shrubs and shrubs increased by around 410.82 Ha of rivers in 2019 and in 2022 there will be no change with an area of 437.33 Ha.
FLOOD IDENTIFICATION BY UTILIZING REMOTE SENSING AND SPATIAL ANALYSIS TECHNIQUES IN PADANG CITY Islami, Refki Addea; Ernawati, Ernawati; Edial, Helfia; Syarief, Azhari
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.55

Abstract

Natural disasters floods are the most common disasters found almost everywhere, floods can cause damage and can even take lives. The city of Padang is often hit by flood disasters which result in damage and loss for those affected. This research aims to 1) To find out the results of identifying flood-prone areas by utilizing remote sensing and spatial analysis techniques in Padang City; 2) To determine the level of flood vulnerability by utilizing remote sensing and spatial analysis techniques in Padang City. This research uses an overlay method which combines several parameters. Parameters for identifying areas that have the potential for flooding in this research include slope, rainfall, land use, elevation, soil type, and river buffer. Each of these parameters is given a different scoring value and weight, then an overlay analysis is carried out and a flood hazard map will be produced as a result of the combination of parameters used. After obtaining the results from the overlay analysis of all parameters, the map of potential flood areas will be divided into 3 vulnerability classes, namely low, medium and high vulnerability classes. The results of the research are that the low vulnerability class has an area of ​​33854.4 ha with a percentage of 49% of the total area of ​​Padang City, the medium vulnerability class has an area of ​​26337.6 with a percentage of 38.2% of the total area, and the high vulnerability class has an area of ​​8823.3 ha with a percentage of 12.8% of the total area.
USE OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS FOR FOREST RESOURCE BALANCE MAPPING IN LEMBAH GUMANTI DISTRICT, SOLOK DISTRICT sausaen, laura ovia; Syarief, Azhari; Iswandi U, Iswandi U; Putri, Sri Kandi
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.56

Abstract

The forest resources balance sheet prepared for the implementation of law no. 41 of 1999 ratified article 13 paragraph (4), in the technical process of implementation it always refers to the decision of the Minister of Forestry no. 6444/kpts-ll/1999 regarding instructions for preparing forest resource balance sheets. The forest resource balance sheet is information that describes forest resource reserves, loss and use of forest resources so that at a certain time the trend of surplus or deficit compared to the previous period can be seen. Law. 41 of 1999, article 13 paragraph 4. Remote sensing offers great potential for the development of methods for calculating the balance of forest resources and changes in the forest sector and geographic information systems (SIG) which are used to provide digital form and analysis of the earth's geographic surface so as to form precise and accurate spatial information. This research uses quantitative analysis. This research aims to determine changes in forestry stocks in the Gumanti Valley district, and knowledge about forest balance in the Gumanti Valley region. The results of research based on data show that around -12,708 ha of land in the form of secondary forest has experienced a reduction or deficit in area. Apart from that, other land that has experienced a reduction in area is primary forest. Meanwhile, the land that has experienced the most significant increase in area is in the form of fields covering an area of ​​+13,239 ha from 2017 to 2023.
THE USE OF SENTINEL-2A IMAGERY FOR MAPPING THE CONVERSION OF AGRICULTURAL LAND INTO DEVELOPED LAND USING THE OBIA METHOD IN BATANG ANAI DISTRICT 2017 AND 2022 syahadani, meilani; Syarief, Azhari; Ramadhan, Risky; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.57

Abstract

Indonesia is a developing country with a population growth rate of 1.38%. Due to the relatively strong population growth every year, this greatly affects land change. Therefore, the phenomenon of land use change emerged. In general, the rate of population growth correlates with the rate of land use change, which results in increased satisfaction of land-use needs such as settlements and public facilities. This study aims to determine the Change in Land Cover resulting from the Change of Agricultural Land Function into developed land and where the direction of changing agricultural land to developed land in Batang Anai District. This study uses a quantitative approach by utilizing Remote Sensing using Object-Based Classification (OBIA). Based on the interpretation results on Sentinel-2A images in 2017 and 2022, 8 land cover classes were found with an Overall Accuracy of 91% and a Kappa Index of 89.80%. Agricultural land in Batang Anai District has undergone land conversion into built-up land of 304.2 Ha or 8.70% of the agricultural land area in Batang Anai District with a total of 3499.16 Ha so that the remaining agricultural land area in 2022 is 3194.96 Ha. As a result of the land use change, there was a development of built-up land which was converted into housing development, public facilities and the Padang-Pekanbaru toll road leading from South to North.
MAPPING OF AREAS OF FOREST AND LAND FIRE VULNERABILITY IN THE SANIANG BAKAR AREA, X KOTO DISTRICT, SOLOK DISTRICT rezki, sri; Edial, Helfia; Iswandi, Iswandi; Triyatno, Triyatno
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.61

Abstract

This research uses quantitative descriptive analysis which has the title "Mapping Areas of Forest and Land Fire Vulnerability in the Saniang Bakar Area, X Koto District, Solok Regency." This research aims to determine the distribution of forest and land fire vulnerability based on the influence of each parameter: land cover, Rain intensity, soil type, height in the Saniang Baka area, research results based on each parameter of land cover which is quite large, fires are dominated by forests covering an area of ​​4946.5 ha and shrubs covering an area of ​​3810.2 ha, the rain intensity parameter is dominated by the very low category. around 200 mm/year, the majority of soil type parameters are Andisols, the height parameters are generally dominated by the sloping category. Understanding the distribution of land surface temperatures using the Land Surface Temperature (LST) algorithm in the Saniang Baka area shows a minimum temperature value of 14.8OC, a maximum temperature of 45.6OC and an average temperature of 30.6OC. The results of the analysis used in the Saniang Bakar area have a general level of vulnerability to forest and land fires in the high category with an area of ​​around 2358.64 Ha.
UTILIZATION OF SENTINEL-2 IMAGES FOR MAPPING THE CORAL REEF AREA IN THE CONSERVATION AREA OF PIEH ISLAND WATERS 2022 Amatullah, Ulfi Rahmi; Febriandi, Febriandi; Ernawati, Ernawati; Arif, Dian Adhetya
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.63

Abstract

Coral reefs are known as complex and productive shallow tropical marine ecosystems. They serve as a habitat for various species of marine plants, marine animals, and marine microorganisms. The deterioration of coral reefs threatens the survival of this shallow marine ecosystem. Mapping the distribution of coral reefs using remote sensing technology is a crucial instrument in the effort to monitor and protect coral reefs while preserving the marine environment. This research aims to map and measure the extent of coral reefs in the Pieh Islands Marine Conservation Area in 2022. In this study, we used Sentinel-2 imagery from 2022 and applied the Object-Based Image Analysis (OBIA) method to detect the extent of coral reefs. Sentinel-2 imagery was processed using ArcGIS and eCognition software, involving atmospheric correction, image clipping, image compositing, segmentation, image classification, and accuracy testing. The data processing results indicate that coral reefs are distributed around the waters of Pieh Islands, with the highest density located to the south of Pieh Islands's waters. The total extent of detected coral reefs in this study is 15.76 hectares. The use of Sentinel-2 imagery with the OBIA method has proven to be effective in detecting the extent of coral reefs in the Pieh Islands Marine Conservation Area.
MAPPING OF LAND USE CHANGES AND ALIGNMENT OF SPATIAL PATTERN PLANS IN PADANG CITY Delta, Yusran Rizky Ananda; Ismail, Muhammad; Syahar, Fitriana; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.64

Abstract

Changes in land use in accordance with spatial pattern plans are a challenge for the government as the population in an area increases, resulting in increased land requirements. This greatly influences the spatial pattern plans that have been planned previously. These land use changes can be obtained from Remote Sensing data which has the advantage and ease of obtaining land use information. This research uses Sentinel-2A satellite image data for 2017 and 2023. The objectives of this research are (1) To determine the ability of Sentinel-2A imagery to interpret land use (2) To determine changes in land use in 2017 and 2023 (3) To find out the alignment of land use identification with the Padang City spatial pattern plan. The method used in this research is a quantitative method with an approach spatial (spatial approach). The method used for land use classification is the manual digitization method (on screen) and land use area calculation using the Geometry Calculator tool in ArcGIS 10.6.1 software. The research results show the ability of Sentinel-2A imagery to produce 15 land uses, namely highland forest, residential/mixed buildings, rivers, cultivated open land, rice fields, dry land seasonal crops, bushes and thickets, mining, runways, ports, buildings industry and trade, grass, mangrove forests, savannas and stretches of coastal sand. In a period of 5 years there were 13 land uses that experienced changes, namely highland forests, residential/mixed buildings, open cultivated land, bushes and shrubs, mining, industrial/commerce buildings, dry land seasonal crops, rice fields, mangrove forests, stretches of beach sand and grass. The harmony between the land use of Padang City and the Padang City Spatial Pattern Plan is dominated by harmony, but there are also those which are not in harmony, namely highland forests, residential/mixed buildings, rice fields, dry land annual crops and mining.
USE OF MEDIUM RESOLUTION IMAGERY FOR PREDICTION MAPPING OF LAND COVER CHANGES IN SOLOK DISTRICT Sari, Yolanda Indah Permata; Fitriawan, Dedy; Antomi, Yudi; Arif, Dian Adhetya
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.65

Abstract

This research aims to determine changes in land cover from 2017-2022 in Solok Regency, to find out predictions of changes in land cover until 2032 in Solok Regency, to find out the results of land cover accuracy tests in Solok Regency. This research uses the Supervised (Maximum Likelihood) method to identify changes in land cover in Solok Regency in 2017 and 2022. This research was carried out in several stages, namely the preprocessing stage including radiometric and atmospheric correction, image cropping according to the research area. The processing stage uses the Supervised (Maximum Likelihood) method to determine the classification, then creating a land cover change identification matrix, creating sample points in the field, accuracy testing, and finally making predictions using the Cellular Automata model to predict land cover in 2032. Identification results in areas there was a change in land cover from 2012 to 2017 to 2022, land cover that changed, namely primary forest in 2012 to 2017 experienced a change in 2022 to 206,362.04ha, built-up land also experienced an area change of 3,162.37ha, followed by open land experiencing changes 283.98ha, mixed plantation land experienced a change of 78,176.71ha, wetland farming experienced a change of 12,751.07ha and dry land farming experienced a change of 20,707.08ha in 2022. Then the results of land cover predictions in 2032 are forest land area primary area in Solok Regency changed to 207,382.99ha, while the area of ​​water bodies changed to 6,889.05ha, then built-up land experienced a change of 3,288.13ha, then open land cover changed to 77,912.95ha, then mixed plantation cover changed to 13,248.51 , in wetland agriculture it changed to 13,248.51ha and dryland agriculture to 19,164.11ha.
THE ROLE OF LOCAL WISDOM "MANOKOK TABUAH" AS AN EARLY WARNING SYSTEM AGAINST FLOODING IN NAGARI SUNGAI LIKU, PESISIR SELATAN REGENCY Nadhilah, Qoori; Alfisar, Muhammad Farras; Sitorus, Sonia Boru; Amelia, Anggi; Danuarta, Arga; Hendria, Viony
International Remote Sensing Applied Journal Vol. 6 No. 1 (2025): International Remote Sensing Application Journal (June Edition 2025)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research seeks to explore the role of the Manokok Tabuah system as a traditional early warning mechanism for flood disasters in Nagari Sungai Liku, assess its effectiveness in enhancing community preparedness, and examine its potential integration with modern technology. A descriptive qualitative approach was employed, utilizing data collection methods such as in-depth interviews, field observations, and documentation. Data were analyzed using the Miles and Huberman model, involving the stages of data reduction, data display, and conclusion drawing. The findings indicate that Manokok Tabuah serves not only as an effective culturally-based early warning tool but also fosters social cohesion within the community in the face of disasters. Although it has been largely replaced by modern sirens, the system retains significant cultural value. Therefore, combining traditional practices with modern technological approaches is considered essential for developing an adaptive and sustainable disaster mitigation system

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