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Journal : International remote sensing application journal

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.472 KB) | DOI: 10.24036/irsaj.v1i1.4

Abstract

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.67 KB) | DOI: 10.24036/irsaj.v3i1.33

Abstract

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 COMMUNITY STRUCTURE AND INDEX MANGROVE HEALTH INDEX (MHI) IN DELI SERDANG DISTRICT, PROVINCE NORTH SUMATRA dea lusiyanti; Yudi Antomi; Triyatno Triyatno; Azhari Syarief
International Remote Sensing Applied Journal Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i1.40

Abstract

This research aims to 1) Know the structure of the mangrove community in Deli Serdang Regency, 2) To find out the differences in the classification of the health level of the mangrove communities in Deli Serdang Regency using Sentinel 2A and Landsat 8OLI imagery in 2022. In determining the structure of the mangrove community carried out by making plot plots to measure trunk circumference and types of mangroves found in Deli Serdang Regency, while to find out differences in the classification of mangrove health levels it was done by comparing the vegetation density values ​​in the field and the canopy density values ​​based on the NDVI vegetation index from Sentinel 2A and Landsat 8OLI imagery. year 2022. The results of this study are, 1) The dominant mangrove species in Deli Serdang Regency are the Avicennia marina, Avicennia alba and Excoecaria agallocha types, with a low level of species diversity. 2) Sentinel 2A imagery is better to use than Landsat 8OLI imagery in determining the Mangrove Health Index (MHI).
ESTIMATION OF MANGROVE FOREST CARBON STOCK USING THE VEGETATION INDEX METHOD IN PADANG PARIAMAN DISTRICT Insanul Putri; Yudi Antomi; Febriandi Febriandi; Azhari Syarief
International Remote Sensing Applied Journal Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i1.43

Abstract

Padang Pariaman Regency is categorized as a coastal district because it has a coastline of 42.11 km. Padang Pariaman Regency has resources, one of which is mangrove forests. Mangrove forests are scattered in several sub-districts in Padang Pariaman Regency. This study aims to determine the estimated carbon stock value of mangrove forests in Padang Pariaman District using the Geographic Information System and Landsat 8 imagery, and to determine the accuracy of the carbon stock estimation results from the Landsat 8 imagery vegetation index. The method used in this study isNormalized Difference Vegetation Index (NDVI). Based on the estimation results of the above surface biomass values ​​obtained from the calculation of the correlation and regression equations in band 6 Landsat 8 imagery shows that the estimation results of the above surface biomass of mangrove forests in Padang Pariaman District obtain a maximum value of 644.85 tons/ha and a minimum value of 487, 92 tons/ha to obtain an estimated carbon stock value of 46% of the biomass value and an estimated maximum carbon stock value of 296.63 tons/ha and a minimum of 224.44 tons/ha.
THE ROLE OF REMOTE SENSING AND SIG DATA FOR MAPPING LAND PRICE ESTIMATION IN PAYAKUMBUH CITY Ramanda, Risa; Syahar, Fitriana; Antomi, Yudi; Ramadhan, Risky
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.49

Abstract

Land is a field that has a strategic role in the development of an urban area, land located in a strategic location of economic activity, easy accessibility, and complete infrastructure can be said that the land has a high land price. Factors that influence land prices in urban areas are increasing population, land change, and regional development. Payakumbuh City is a city that is strategically located and close to the city center, has complete public facilities, adequate road access, proximity of land to economic areas, and urban development and buildings affect land prices in Payakumbuh City. The research objectives (1) identify factors that affect land prices in Payakumbuh City (2) analyze the spatial distribution of land price estimates in Payakumbuh City. The research method to determine land price estimation is the overlay and weighting method. The parameters used in this study are land use using Pleiades imagery, land accessibility, and completeness of public facilities. Based on the results of the research, the factors that affect land prices in Payakumbuh City are land use that is closer to the city center will be more expensive, land accessibility that facilitates road access, and completeness of public facilities. Based on the results of data processing, it is found that there are 4 classes of land price estimation in Payakumbuh City, namely the very high class has a price of Rp. 5,000,000.00 - Rp. 10,000,000.00, the high class has a land price of Rp. 2,000,000.00 - Rp. 5,000,000.00, the medium class has a land price of Rp. 1,000,000.00 - Rp. 2,000,000.00, and the low class has a land price of Rp. 200,000.00 - Rp. 500,000.00.
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.