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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
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UNIVERSITAS NEGERI PADANG (UNP) Address: Prof. Dr. Hamka Street, Air Tawar, Padang - West Sumatra -Indonesia
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Kota padang,
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INDONESIA
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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COMMUNITY PERCEPTIONS AND ADAPTATION STRATEGIES TO RECURRENT FLOODING: A CASE STUDY OF LOCAL COMMUNITIES IN NAGARI PELANGAI, RANAH PESISIR SUB-DISTRICT, PESISIR SELATAN DISTRICT Sinaga, Enjelina C; Rahmi, Ulva; Anarku, Faras Fazira; Madrisah, Elsi; Aisyah, Nurul; Atfiano, Tio
International Remote Sensing Applied Journal Vol. 6 No. 1 (2025): International Remote Sensing Application Journal (June Edition 2025)
Publisher : Remote Sensing Technology Study Program

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Abstract

Nagari Pelangai, located in Pesisir Selatan Regency, is one of the coastal areas that experiences recurrent flooding every year. This research aims to analyze the community's views on flood disasters that occur on an ongoing basis and explore the adaptation strategies they apply before and after flooding. The method used in this research is a descriptive qualitative approach with a phenomenological approach, which involves in-depth interview techniques, field observations, and documentation collection. The results show that the community has various views on flooding: some consider it a normal natural phenomenon, some see it as a worrying threat, and some view it as an event that needs to be watched out for. The adaptation strategies implemented include preventive measures such as building houses with more height, storing important items in a safe place, as well as responsive measures such as self-evacuation and cleaning up after flooding. However, most adaptation efforts are still individual and not collectively coordinated. These findings point to the importance of structural support and community capacity building in developing sustainable and locally-based adaptation strategies
IDENTIFICATION OF EROSION RATE USING UNIVERSAL SOIL LOSS EQUATION (USLE) METHOD IN KOTO TANGAH DISTRICT PADANG CITY IN 2024: Inggris Raju Mahendrik; Sri Kandi Putri
International Remote Sensing Applied Journal Vol. 6 No. 1 (2025): International Remote Sensing Application Journal (June Edition 2025)
Publisher : Remote Sensing Technology Study Program

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Abstract

This study aims to analyze the erosion rate in Koto Tangah District, which is an area with varied topography and high rainfall. The area of ​​this area reaches 232.25 square kilometers, this area faces an increased risk of erosion due to human activities such as land clearing for agriculture and settlements. This study aims to: (1) calculate the erosion rate using the USLE method, and (2) map the distribution of areas with the potential for erosion in 2024. The formulation of the problem is focused on identifying the magnitude of the erosion rate and the distribution pattern of areas prone to erosion in Koto Tangah District. The research method uses the Universal Soil Loss Equation (USLE) approach integrated with the Geographic Information System (GIS). The data used include: rainfall data from CHIRPS 2024, soil type data from the Digital Soil Map of the World (DSMW) 2007, slope data from DEM, and land use data from the interpretation of Landsat imagery on October 8, 2024 using the Maximum Likelihood Classification method. The results of the analysis are expected to provide important information for the government and the community in disaster mitigation efforts and natural resource management. The study shows variations in erosion rates from <15 tons/ha/year to >480 tons/ha/year, with steep mountainous areas (>45%) showing the highest erosion rates. The discussion reveals that the interaction of slope factors, soil type, and land cover are the main determinants of the magnitude of erosion. Through a better understanding of erosion conditions in Koto Tangah, it is hoped that proactive steps can be taken to reduce the negative impacts of soil erosion and increase environmental resilience.

Page 6 of 6 | Total Record : 52

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