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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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CHARACTERISTICS OF TECTONIC EARTHQUAKE SUMATERA Yudi Antomi
International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal
Publisher : Remote Sensing Technology Study Program

This study aims to answer the question: is there a correlation between earthquake events due to Benioff zone activity with earthquake events due to shallow local cesarean activity? Using a spatial statistical local moran, krigging, and kernel density approach to the distribution of 1973 – 2018 earthquake occurrences in the central region of Sumatra, it was found that there was a connection between earthquake events due to Benioff zone activity and earthquake events due to shallow local cesarean activity. The earthquake activity between the Mentawai Islands and the coast of West Sumatera - Bengkulu was more caused by local cesarean activity with superficial hypocenter.

IDENTIFICATION OF GEOMORPHOLOGY AND LITOLOGY BASED ON ANALYSIS OF LANDSAT-8 SATELLITE IMAGES IN PADANG CITY Dewi Ramadhan; Srikandi Putri
International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal
Publisher : Remote Sensing Technology Study Program

The application of remote sensing to obtain better quality and up to date maps is needs to be done through the utilization of lithology and geomorphology in mapping of Padang city. This study aims to obtain a lithological and geomorphological picture of the appearance of Landsat-8 OLI Composite 567 satellite imagery. The research method was carried out by image interpretation data preparation. The results showed the city of Padang has 2 units of landforms from visual interpretation, namely fluvial and denudational landforms. Lithology identification in Padang using geological imagery and maps as a reference succeeds to acquire geological and lithological units, namely: Alluvial Fan which is smooth texture, lowland topography, hue and color is bright, parallel river flow patterns, sparse vegetation, river area associations. Non-decomposed flow texture is rather rough, hilly topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with forests. Andesite has a rather rough texture, highland topography, hue and color is dark, radial river flow patterns, dense vegetation, associated with mountainous terrain. Alluvial is found in coastal areas, lakes and sandy areas, fine texture, lowland topography, alongside large rivers with valley, has a bright color and hue, its flow patterns are parallel, sparse vegetation, river area associations. Hardened Crystal Tuff with a rather rough texture, topography in mountainous areas, hues and color is dark, radial river flow patterns, dense vegetation, hill area associations. Volcanic Rock has a rough texture, high terrain topography, has dark colors and hues, radial river flow patterns, has dense vegetation, and is associated with mountains.

COASTAL ABRASION VULNERABILITY IN SUB-DISTRICT BUNGUS TELUK KABUNG KOTA PADANG Sri Kandi Putri; Dewi Ramadhan
International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal
Publisher : Remote Sensing Technology Study Program

This study aims to analyze the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung of Padang City. This type of research is mixed method. The type of data is primary data and secondary data. The primary data obtained from research questionnaires and field observations using interview guidelines while the secondary data consists of identification of critical beaches in West Sumatra, Disaster Event Data, Reports on coastal abrasion disasters, Statistics of sub-district Bungus Teluk Kabung, The technique of analyzing the level of vulnerability of coastal abrasion disaster uses secondary data analysis from the map of coastal abrasion disaster vulnerability from BNPB which refers to the General Guidelines for Disaster Risk Assessment, PERKA BNPB No. 2 of 2012. The vulnerability index scale is divided into 3 categories: low, moderate, high. The results showed that the level of coastal abrasion vulnerability in sub-district Bungus Teluk Kabung was classified into the low category with a vulnerability score of 0.0-0.25, moderate with a vulnerability score of 0.25-0.54 and high which scores between 0.54 - 0.75. Physical vulnerability in all of villages of sub-district Bungus Teluk Kabung is come under low category. Social vulnerability is low and moderate. Environmental vulnerability in the moderate category and economic vulnerability in the high category

MODEL OF GROWTH OF SETTLEMENT AREAS IN JAMBI CITY Cahyadi Nugroho; Nismawati Nismawati
International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal
Publisher : Remote Sensing Technology Study Program

This study illustrates the growth model of Jambi City until 2035 supported by several driving factors derived from human activities and patterns of movement. Sampling based on the administrative Area of Interest (AOI) of Jambi City. Sources of data obtained from relevant agencies and remote sensing imagery (Landsat Image). Analysis of research data using demographic analysis, GIS, Cellular Automata and statistics. The results showed that there was a change in land cover during the predictions between 2016-2035; Judging from the growth of settlements, each year it is increasingly referring to the expansion diffusion model with concentric shapes through Cellular Automata modeling. Settlements will always grow in the Central Business District, namely Pasar Jambi District and Jelutung District and South Jambi District will further develop in 2035.

SPATIAL AND TEMPORAL VARIABILITY OF SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A ACCORDING TO THE SEASON IN PESISIR SELATAN REGENCY WATERS WITH AQUA-MODIS IMAGERY Hendra Saputra
International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal
Publisher : Remote Sensing Technology Study Program

Fishermen's understanding of oceanographic parameters, especially sea surface temperature conditions and chlorophyll-a concentration in the process of determining fishing operations are still very low. The cause is the constraints of technology and human resources, and not widely available data and information on fisheries resources, including their parameters. Remote sensing technology is one solution that can be used to understand the spatial and temporal conditions of great waters. This research was conducted in the waters of the Pesisir Selatan Regency with the aim to : 1) measure and map the spatial and temporal variability of sea surface temperature in 2013, 2) measure and map the spatial and temporal variability of chlorophyll-a concentration in 2011-2013, 3) measure the relationship between sea surface temperature with the concentration of chlorophyll-a. This study uses a quantitative approach using analysis desk metode. The results showed that: 1) sea surface temperature mean highest monthly throughout the year occurred in the first transitional season between March and May, where sea surface temperatures reach more than 31 0C, 2) Chlorophyll-a concentration between 2011 to 2013 was highest in the east of the season and second in the transitional seasons are concentrated in the area of the waters region of Linggo Sari Baganti Regencys to Silaut Regencys, 3) Sea surface temperature is strongly influencing the concentration of chlorophyll-a, regression coefficient (r) of 0.811, Relationships sea surface temperatures mean monthly negatively correlated, with each increase of 1 0C of the sea surface temperature caused a decrease in chlorophyll-a concentration of 0.176 mg/m3.

ESTIMATION OF LAND SURFACE TEMPERATURE IN BUNGO DISTRICT USING THERMAL CHANNELS OF LANDSAT 8 IMAGES Annisa Firstyandina; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

The purpose of this study was to determine the land surface temperature in Bungo Regency using the Landsat 8 image thermal channel by carrying out three stages: (1) Mapping the comparison of vegetation density in 2016 and 2021 using the NDVI (Normalized Difference Vegetation Index) method. (2) Mapping land surface temperatures in 2016 and 2021 using the Land Surface Temperature method. (3) Knowing the relationship between LST and NDVI using the Correlation Person test. The results of the study explain the comparison of vegetation density using the Normalized Difference Vegetation Index (NDVI) method in 2016 and 2021 in Bungo Regency. In 2016 the classification is very dense with an area of 124,871 Ha, the classification dense with an area of 115,732 Ha, the classification medium with an area of 98,536 Ha, the classification is rare with an area of 71,920 Ha, and very rare classification with an area of 54,839 Ha. Whereas in 2021 the very dense classification will decrease to 117,216 Ha, the dense classification will decrease to 112,365 Ha, the moderate classification will decrease to 95,892 Ha, the rare classification will increase to 79,310 Ha, and the very rare classification will increase to 61,084.

MAPPING OF PELAGIC FISHING POTENTIALS USING SINGLE IMAGE EDGE DETECTION (SIED) AND TEMPERATURE GRADIENT ANALYSIS (TGA) IN THE WATERS OF PADANG CITY Rahmad Triadi Akbar; Sri Kandi Putri
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

Padang City waters are one of the waters that have very promising potential for fishermen. This study aims to obtain potential areas for catching large pelagic fish which are analyzed using fashionable image data of chlorophyll a and SST. This research was carried out in November 2021. This research covered the period June, July and August, on June 9 potential zones for large pelagic fish were scattered, based on the distribution of potential large pelagic fish zones a distance of beat tween 1,000 meters to 5,000 resulted in 5 zones of potenzones for large pelagic fish and a distance of 1,000 meters to 10,000 or sea II produces 4 zones indicating the potential for large pelagic fish. In July the potential zone for large pelagic fish increased by 14 potential zones for large pelagic fish from a distance of 5. As a result, the distribution of sea surface temperature increases every month and the distribution of chlorophyll tends to crease. Based on the results of the interpolation of the potential for large pelagic fish, August is a month that has the potential for large pelagic fish catching zones, in the distribution of potential fish zones in the waters of Padang City, the average sea depth is between 10 meters and 50 meters. Based on tests of the accuracy of the distribution of fishing vessels in the waters of the City of Padang, only 5,000 meters from the shoreline, this has resulted in fewer fisherfewerbeing able to explore the potential spread across the waters of the City of Padang because there are no ships with engines with tonnage or wide cruising to be able to explore existing the potential.

Utilization of SPOT Image for Settlement Quality Study in Tanjung Harapan District, Solok City Trisna Dwi Yuliana
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

Tanjung Harapan District is the district with the highest population density, which is 1,223 people/km². Thus the total population of the number of residential areas increased. This increase in population has had an impact on increasing the need for land for housing, thus affecting the quality of settlements. This study aims to determine the level of quality of settlements in Tanjung Harapan District, Solok City. The method used is weighting (scoring) and Overlay to combine all settlement quality parameters. The results obtained are a map of the quality level of settlements in Tanjung Harapan District which has three classifications, namely good class with an area of 74 Ha, medium class with an area of 69 Ha, and bad class with an area of 83 Ha.

UTILIZING LANDSAT 8 IMAGERY FOR MAPPING OF BURNED AREAS USING THE NORMALIZE DIFFERENCE VEGETATION INDEX (NDVI) AND NORMALIZE BURN RATIO (NBR) METHODS Rizka Fadil; Dian Adhetya Arief; Sri Kandi Putri
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

This study aims (1) to map changes in the area of forest land in the western part of Bengkalis Regency in 2016 and 2021, (2) to determine the distribution of the area of forest burned in the western part of Bengkalis Regency, (3) to determine the severity of forest fires in the District of Bengkalis West Bengkalis.This study used the NDVI (Normalized Difference Vegetation Index) method by Huete et. Al by compositing band 5 (NIR) and band 4 (Red) on Landsat 8 imagery which was processed using ArcGIS software before and after a forest fire. As well as the NBR (Normalized Burn Ratio) and dNBR (Difference Normalized Burn Ratio) methods by Eidenshink et al by compositing band 5 (NIR) and band 7 (SWIR) on Landsat 8 images processed using QGIS software. For sampling using random sampling method and accuracy test using overall accuracy, user's accuracy, producer's accuracy, and kappa analysis. The results of this study are (1) the area of forest land in Bengkalis Regency continues to decrease every year, in 2016 the area of forest land903,920 ha and 2021 the total forest area is463,441 ha. (2)The area of forest land burned due to forest fires in Bengkalis Regency, which burned the least was 267.43 ha, while it was 1468.93 ha and the most extensive was 2186.53 ha.(3) Based on one forest fire distribution map, it is divided into 7 fire severity classes, namely high post-fire regrowth, low post-fire regrowth, no burning, low, medium-high and very high and the most dominant forest fire level is low-high.

APPLICATION OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM FOR FOREST RESOURCES BALANCE MAPPINGIN THE TARUSAN SUB-DAS, PESISIR SELATAN DISTRICT Rizik Fadel Muhammad Hasan; Dilla Angraina
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

This forest resource balance mapping aims to (1) determine changes in the area of forest resources in the XI Tarusan sub-district, Pesisir Selatan Regency; (2) find out the forest balance in XI Tarusan District, Pesisir Selatan District; (3) determine the accuracy of Landsat 8 imagery for preparing forest resource balances. The method used in mapping the balance of forest resources is by carrying out a supervised classification for land use and land cover. Then the data is overlaid using a two-dimensional matrix approach. Furthermore, the data is analyzed using a Geographic Information System which provides spatial information to be able to present data in map form. The results of this study are changes in the area of forest resources in XI Tarusan District, Pesisir Selatan District, which is 28.62 Ha.,and the accuracy of the Landsat 8 image obtained in the preparation of this forest resource is 91.66%.

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Yudi Antomi

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irsaj@ppj.unp.ac.id

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+628126756914

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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

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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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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