cover
Article Per Year (5 Year)
All
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
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 56 Documents
 2   3   4   5   6 
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

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

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

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

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.
UTILIZING GOOGLE EARTH ENGINE FOR FLOOD-PRONE AREAS USING THE THRESHOLD METHOD IN PASAMAN REGENCY, WEST SUMATRA PROVINCE: English Q-to Paguno, Ananda; Arif, Dian Adhetya; Edial, Helfia; Purnamasari, Eva
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.84

Abstract

This study aims to utilize Google Earth Engine and Sentinel-1 image data to map flood areas using the Threshold method, which is expected to provide accurate information to support flood mitigation and management in the Pasaman region. This study also aims to determine the results of the area affected by disaster-prone areas. Based on the results of the study, researchers have obtained a flood hazard map in 2024 in Pasaman Regency by processing Sentinel-1 image data using the Threshold algorithm which has produced an area in the Vulnerable classification with an area of ​​4,225 Ha, a Moderately Vulnerable classification with an area of ​​9,102 Ha and a Safe classification of 3,818 Ha for Pasaman Regency. From the results of data processing for the flood hazard map in Pasaman Regency, it can be concluded that in 2024 Pasaman Regency experienced quite vulnerable floods.
TESTING THE QUALITY OF THE ORTHOFOTO DMC III LARGE FORMAT CAMERA AERIAL PHOTOGRAPHY FOR BASE MAP ACCURACY SCALE 1:5000 Farhan, Muhammad; Jaya Prihantarto, Wikan
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

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

Abstract

This study discusses the quality testing of the DMC III LFAP camera for base map accuracy at a scale of 1:5000. The objectives of this research are to analyze the resolution quality of DMC III LFAP orthophoto images and to assess the geometric accuracy of DMC III LFAP orthomosaics based on Independent Check Points (ICP) measured in the field.This research employs both qualitative and quantitative methods. The study focuses on two main aspects: the resolution quality of orthophoto images and geometric accuracy based on ICP measurements. The research data includes DMC III aerial photographs from 2021 and field ICP observations. The methods used in this study involve orthophoto processing, ICP measurements using Geodetic GPS, and geometric accuracy analysis with the Root Mean Square Error (RMSE) method. Accuracy evaluation is conducted by comparing orthophoto coordinates with field observations.The results indicate that the resolution of the generated orthophoto images meets the quality standards for a scale of 1:5000 based on Per BIG Number 1 of 2020, with a reliable level of accuracy. However, geometric accuracy testing shows that the orthomosaic results have an error level exceeding the tolerance limits set by Per BIG Number 6 of 2018, making them unsuitable for base map accuracy at a scale of 1:5000.
GIS-Based Shallow Groundwater Potential Zone Assessment Using ALOS AVNIR-2 Remote Sensing Data (Case Study: Bedog Sub-Watershed, Yogyakarta) Lesan; Dian; Supang
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.93

Abstract

This research aimed to determine how effective the integration of remotely sensed data of ALOS - AVNIR 2 and Geographic Information System (GIS) to assess the shallow groundwater potential zone in Bedog Sub Watershed and spatial analysis of potential groundwater produced in the form of a map. Primary data used is the image of ALOS - AVNIR 2 supported by some thematic maps and other data. The method used is integrate the remote sensing techniques and GIS by buildup shallow groundwater potential zone map in Bedog sub watershed with parametric approach (for the origin of volcanic landforms with sand aquifer material). For potential groundwater contained in landforms from solusional processes, the method used is the measurement of groundwater potential in the field with quantitative descriptive approach. The accuracy of interpretation from each parameter are for parameter of soil texture resulting 75 % of accuracy, 77.78% of slope and 85% of land cover. Shallow groundwater potential maps generated from the origin of volcanic landforms with material aquifer of sands produces shallow groundwater potential in 3 classes (low potential, moderate potential and high potential) through the measurement of sahllow groundwater level information in the field. It is able to be generalized to information of aquifer formation that contain of it. Shallow groundwater potential in landforms from solusional processes with a limestone rock as a material shows very varied potential shallow groundwater which have been seen from differences phenomenon in the field. Keywords : Remotely sensed data of ALOS - AVNIR 2, GIS, terrain parameters, shallow groundwater potential
THE MAPPING OF TEA HARVESTING AREA USING PLANETSCOPE IMAGERY Prihantarto, Wikan Jaya; Ismail, Muhammad; Purnamasari, Eva; Anggraini, Kurnia; Putri, Erisa Ayu Waspadi; Frananda, Hendry; Setiawati, Indah
International Remote Sensing Applied Journal Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v6i2.95

Abstract

The identification of tea harvesting areas is an important part of tea culture. The use of satellite imagery for this application offers effectiveness. PlanetScope imagery has the advantage of high spatial, spectral, and temporal resolution and is widely used in agricultural and plantation studies. The objective of this study was to map tea pruning areas in the Danau Kembar Tea Plantation, Solok Regency, West Sumatra, using PlanetScope imagery. The images underwent radiometric, geometric correction and were then analyzed spectrally using the Normalized Difference Vegetation Index (NDVI) to obtain tea vegetation density classes. The image map resulting from this classification was used to identify the spatial distribution of harvesting and non-harvesting areas. The mapping results were validated by field surveys, and accuracy calculations were performed using the confusion matrix method. The findings showed that 250.50 hectares or 90.37% of the study area, are harvesting areas, with mapping accuracy reaching 84.0%. This study can provide an important reference for monitoring plantation land management, production estimation, and tea harvesting.

Page 6 of 6 | Total Record : 56

 2   3   4   5   6 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): International Remote Sensing Application Journal (December Vol. 6 No. 1 (2025): International Remote Sensing Application Journal (June Edition 2025) Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024) Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024) Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023) Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023) Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022) Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022) Vol 2 No 2 (2021): international remote sensing application journal (Dec Edition 2021) Vol 2 No 1 (2021): international remote sensing application journal (June Edition 2021) Vol 1 No 2 (2020): international remote sensing application journal (December Edition) Vol 1 No 1 (2020): international remote sensing application journal More Issue