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International remote sensing application journal

IRSAJ
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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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MAPPING OF LANDSLIDE-PRONE AREAS BASED ON REMOTE SENSING WITH GEOGRAPHIC INFORMATION SYSTEMS IN TANAH DATAR REGENCY, WEST SUMATRA Nadyya 'Azima Muarif; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.152 KB)

The aims of this study were 1) to determine the classification of landslide-prone levels in Tanah Datar Regency, 2) to and find out the causal factors for Tanah Datar Regency to be categorized as landslide-prone areas. The research method used in this study is the overlay method in the form of a combination of the results of 5 classifications (slope, rainfall, land use, geological structure, and, soil type). The type of research used is quantitative research in the form of surveys and questionnaires, statistical data sets, interviews, and, observations. The results of this study are 1) the area of Tanah Datar Regency is divided into 4 classifications of landslide-prone levels, namely low, medium, high, and very high. The landslide-prone level at the low classification level is in Pariangan District, Ten Koto District, Salimpaung District, and Sungayang District. The medium-level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation The medium level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation characterized by illegal mining, excessive extraction of wood from nature aimed at preventing landslides around slopes, infrastructure development that is not by geographical conditions, and conversion of land functions from forest areas to agricultural areas.

INTERPRETATION OF HIGH-RESOLUTION IMAGES FOR IDENTIFICATION OF DAMAGE TO RASANG AND LOST SHIP IRRIGATION CHANNEL KOTO TANGAH SUB-DISTRICT, PADANG CITY Liza Septi Dhamara Asri; Triyatno Triyatno
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

This type of research is quantitative descriptive, with image interpretation through high-resolution images, and primary data as a source of data obtained through field surveys. The technique for determining informants is Total Sampling. The population in this study are villages in the Koto Tangah District, Padang City. This analysis uses quantitative analysis, namely on-screen digitization using the Arcgis application. Based on the results of research and discussion on High-Resolution Image Interpretation for Identification of Irrigation Channel Damage in Kasang and Kapalo Hilalang, Koto Tangah District, Padang City, the results obtained, namely the identification of irrigation canals using high-resolution imagery produces sufficient data in accordance with the conditions field. Based on the field survey, the condition of the network damage for the Hilalang Headquarters, starting from the weir building to BKH 1 was heavily damaged, BKH 2 to BKH 6 was moderately damaged. Starting from BKH 7 to BKH 8 still has good conditions. While the condition of the Kasang II irrigation canal from the weir to BKD 5 is still in good condition. BKD 6 to BKD 7 is moderately damaged. In contrast to BKD 4, it is in good condition, while parts of BAA 1 to 3 are in moderately damaged condition. The shape of the irrigation image in the city of Padang is tortuous, this is influenced by the topography of the area around the river which consists of community rice fields. The pattern shown in the image of the irrigation canal in the city of Padang is elongated, this shows the flow of the river from the upstream area to the downstream area of the river. The texture that is displayed in the image of the irrigation canal in the city of Padang has a smooth texture. The site shown in the image of the irrigation canal in the city of Padang is side by side with the rice fields belonging to the community in the Koto Tangah District.

COASTLINE MAPPING IN KOTO TANGAH DISTRICT USING MULTITEMPORAL REMOTE SENSING IMAGES, 2002, 2012 AND 2022 Rizka Nofriyanti; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

The purpose of this study was to determine changes in the coastline and the extent of abrasion and accretion that occurred from 2002 to 2012 and 2012 to 2022. This study utilized geographic information systems and remote sensing techniques in the form of Landsat 7 imagery in 2002, 2012 and Landsat 8 imagery. in 2022. The research uses the Digital Shoreline Analysis System method 'DSAS' which Net Shoreline Movement (NSM) and Endpoint Rate (EPR). To calculate the area of abrasion and accretion use the Calculate Geometry menu. The results of this study are maps of shoreline changes from 2002 to 2012 and from 2012 to 2022. From 2002 to 2012 the rates and distances that occur are accretions 2012 to 2022, the change in the coastline, the rate and distance that will occur is abrasion. The coastline area due to abrasion increased by 57,702 m in 2002-2012 and 2012-2022, while the coastline area due to accretion in 2002-2012 and 2012-2022 decreased by 61,851 m.

UTILIZATION OF SATELLITE IMEGERY FOR MAPPING SETTLEMENT DEVELOPMENT TRENDS IN THE CITY BUKITTINGGI Sherena Aurelia Anwar; Ernawati Ernawati
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

This research was conducted to see the trend of the development of residential areas in the City of Bukittinggi using remote sensing methods. This technique is considered important and effective in providing spatial information on the earth's surface quickly, precisely and easily. This study aims to classify land use for residential areas using Landsat 8 OLI (Operational Land Imaginer) imagery. In this study, the maximum likelihood classification (MLC) method was used. The research used is descriptive with a quantitative approach, namely using numerical data, analysis, interpretation and presenting data in numerical form for sampling in identifying the results of land use for settlements in the City of Bukittinggi. The research results have changed in the last 5 years, it was found that there was an increase in residential areas of 7.92 ha in 2016 and 2021 using Landsat imagery. The results of the research in the form of a map are land use maps in the City of Bukittinggi to see the distribution of residential areas.

DETERMINATION OF CHANGES IN FIELD AREA WITH FOOD-SUPPORTING CAPACITY USING REMOTE SENSING IN AGAM Syukra Alhamda; Yudi Antomi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

West Sumatra Province is one of the provinces in Indonesia which is the best rice producer in Indonesia, but a large number of conversions to paddy fields has resulted in food threats for the local population, data from the Ministry of Agriculture states that the decline in paddy fields in West Sumatra in 2008 was 228,176 ha. , in 2009 amounted to 229,693 ha, then in 2010 amounted to 231,463 ha, and in 2011 amounted to 229,368 ha, then decreased in 2012 amounted to 224,182 ha and in the area of West Sumatra Cities that experienced land conversion, namely Agam Regency, conversion of agricultural land to non-use Agriculture is a threat to national food security.

DETERMINATION OF TH DYNAMICS OF THE FIELD AREA WITH FOOD SUPPORTUSING REMOTE SENSING IN SOLOK DISTRICT Teguh Trivo Maulana; Fitriana Syahar
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

The availability of carrying capacity of food in an area is closely related to the availability of sufficient agricultural rice fields, from both sides they are very mutually supportive, so if the area of agricultural land is in an area, the availability of food in the area will also help reduce this problem. will have an impact on the food-carrying capacity of the people in the region. This study uses a quantitative descriptive approach using a supervised classification method using the SNI 7645 Classification. The data required are Landsat images from 2000, 2010 and 2020 . The data obtained from the results of image data processing is the occurrence of changes in the area of rice fields in Solok Regency in 2000, 2010 and 2020, where in 2000 the area of rice fields was 90,344, in 2010 the area of rice fields again was 80,452Ha, and in 2020 the area of rice fields continues to decrease to 75,750 Ha.

UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE Shahna Qintania Meron; Triyatno Triyatno
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the total area of mangrove land was 437 ha, in 2020 the area of mangrove forest with the most extensive mangrove forest density was a high density of (227 ha/ 68%).

Mapping of Limestone Potential Using Landsat 8 Satellite Imageryin Some Areasof Timpeh Sabrina Roselini; Dian Adhetya Arif; Sri Kandi Putri
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

Limestone potential is important information that can be obtained from remote sensing data which has advantages and speed in processing results. Remote sensing is a technology that can overcome the problemof measuring data for fast and accurate information. This research was carried out in some areas of the Timpeh sub-district,andDharmasraya districtusing Landsat 8-OLI imagery with the aimof1) identifying the potential of limestone using the Band Ratio method. 2) How to apply remote sensing in mapping the potential of limestoneusing Landsat 8 Oli imagery. This research was carried out in several stages, namely Pre Processing which included radiometric correction and atmospheric correction, image cropping according to the research area, and processing whichincluded making geological maps, making landform maps, making maps of river flow patterns and vegetationindex maps and limestone identification using the RGB band ratio method (5/4;6/3;4/2). The results of field identification in potential limestone areas, where the RGB (Red Green Blue)composite of the band ratio 5/4;6/3;4/2 shows that the presence of limestone is characterized by the appearanceof greenish-brown colored objects. The average pixel value for limestone with a band ratio of 5/4 is 2.475, for a6/3 ratio is 1.275 and for a 4/3 ratio is 0.788. In this study, the potential area of limestone in the research areawasfound,whichwas approximately 2352,14564 ha.

MAPPING OF FOREST AND LAND FIRE HAZARDOUS USING LANDSAT 8 SATELLITE IMAGERY WITH LAND SURFACE TEMPERATURE (LST) AND NORMALIZED BURN RATIO (NBR) METHODS Sri Mayang; Dilla Angraina
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

This study aims (1) to determine the distribution of Land Surface Temperature (LST) in the Baso District in 2022 (2) to determine the Normalized Burn Ratio (NBR) in Baso District in 2022 (3) to map areas prone to forest and land fires by utilizing the Land Surface Temperature (LST) and Normalized Burn Ratio (NBR) algorithms in Baso District in 2022. This study uses the Land Surface Temperature (LST) method to determine the distribution of land surface temperatures in the Baso District in 2022. The Normalized Burn Ratio (NBR) method is used to identify areas that are burned and then weighted overlay using Arcgis to obtain data on land and forest fire vulnerability. in Baso District. The results of this study are (1) showing a minimum temperature value of 13.6oC maximum temperature of 34.5oC and an average temperature of 26oC (2) showing the results of the distribution of areas with a value of -1 which are identified as burnt or those with bad vegetation of 2.5 and areas with a value of 0 indicating vegetation a good area of 7,636 Ha (3) on the mapping of areas prone to forest and land fires after the Weighted Overlay was carried out found 4 classes of vulnerability levels not prone to forest and land fires, moderately prone, prone and very prone to forest and land fires.

COMPARISON OF ASTER GDEM IMAGES AND SRTM IMAGES FOR RIVER WATERSHED AND GEOMORPHOLOGY STUDY Naf’an Arifian; Kemal Rahman Denis; Sri Kandi Putri
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

This study uses two DEM images, namely ASTER GDEM and DEM SRTM to map the distribution of rivers and geomorphology located in The District of Pesisir Selatan. In this study a comparison of the two images was carried out with the same level of resolution of 30 meters to see the accuracy of the images used in the study of watersheds and geomorphology. The method used in this research is processing image data then identifying the river for each image used. Further carrying out a confusion matrix which is used to check or improve data from a quantitative approach. The results of the study in terms of comparison of ASTER and SRTM images for watershed identification show that SRTM imagery is more accurate in identifying watersheds compared to ASTER imagery. After taking samples with the number of sample points taken, namely 36 samples on each, and then testing for spatial accuracy, the results show that the SRTM imagery had an accuracy rate of 88% where out of 36 sample points only 5 were wrong or not on the river. Whereas in the ASTER image of 36 sample points, there were only 6 which were right on the river, show that the level of image accuracy is only 14% for river identification. The study also shows that after the research process and accuracy test, for geomorphologic identification on the two DEM images, namely DEM SRTM and ASTER GDEM, it found that both images have the same level of accuracy, therefore both images are equally good at identifying geomorphology.

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Yudi Antomi

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UNIVERSITAS NEGERI PADANG (UNP) Address: Prof. Dr. Hamka Street, Air Tawar, Padang - West Sumatra -Indonesia

Location
Kota padang,

Sumatera barat

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Yudi Antomi

Contact Email irsaj@ppj.unp.ac.id

Phone +628126756914

Journal Mail Official irsaj@ppj.unp.ac.id

Editorial Address UNIVERSITAS NEGERI PADANG (UNP) Address: Prof. Dr. Hamka Street, Air Tawar, Padang - West Sumatra -Indonesia

Location Kota padang, Sumatera barat INDONESIA

Abstract

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Abstract

Abstract

Abstract

Contact Name
Yudi Antomi

Contact Email
irsaj@ppj.unp.ac.id

Phone
+628126756914

Journal Mail Official
irsaj@ppj.unp.ac.id

Editorial Address
UNIVERSITAS NEGERI PADANG (UNP) Address: Prof. Dr. Hamka Street, Air Tawar, Padang - West Sumatra -Indonesia

Location
Kota padang,

Sumatera barat

INDONESIA