Firmansyah, Muhammad Reffi
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Comprehensive Analysis of Agricultural Land Dynamics in Sleman Regency (2017-2022) using NDVI: Resilience, Urbanization Impact, and Environmental Influences Pamungkas, Guntur Bagus; Firmansyah, Muhammad Reffi; Tamara, Anindya Putri; Zainul, Rahadian
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2127

Abstract

This study delves into the dynamics of agricultural health in Sleman Regency, Yogyakarta Special Region Province, Indonesia, from 2017 to 2022. Utilizing NDVI modeling with remote sensing data from Landsat by the USGS, our research aims to comprehend the shifts and trends in agricultural land health during this defined time limit. The primary objectives encompass understanding these alterations and assessing how urbanization and land utilization impact the well-being of agricultural lands in Sleman Regency. Employing Landsat's remote sensing data with a specific focus on NDVI modeling, we conducted a thorough analysis. Throughout the 2017-2022 analysis period, a concerning and consistent decline in healthy agricultural lands was observed. By 2022, only 4581.56 hectares of agricultural land remained healthy, constituting a mere 0.011% of the total region, while the expanse of unhealthy land surged from 1109.48 hectares in 2017 to 1160.8 hectares in 2022. This shift underscores a distressing deterioration in the health of agricultural plants due to diminished agricultural land. Urbanization emerges as a notable factor, encroaching upon vital agricultural spaces. To counter this trend, proactive protection and effective regulation of designated agricultural zones by the Sleman Regency Government are imperative to ensure sustainable cultivation of essential food crops within the region and maintain the overall well-being of the agricultural landscape. Strengthening policies for sustainable urban development in harmony with agricultural interests is pivotal to securing prosperous and balanced socio-economic growth.
Land Cover Classification of Indonesian Archipelago Using Digital Spectroscopy to Support Spatial Planning in Indonesia Pamungkas, Guntur Bagus; Firmansyah, Muhammad Reffi; Sari, Ratna; Tamara, Anindya Putri; Zainul, Rahadian
Geoplanning: Journal of Geomatics and Planning Vol 12, No 1 (2025)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.1.57-68

Abstract

In the context of urban and regional planning, this study aims to produce land classification products covering 230 paths/rows throughout Indonesia, which can serve as an important tool in supporting planning and research projects. The research method used combines remote sensing in Geographic Information Systems (GIS) with the utilization of spectroscopy through QGIS software with Dzetsaka plugins (semi-automatic classification tools). Land cover classifications, which include water bodies, vegetation canopies, green open spaces, bare grounds, settlements, and built-up areas, as well as additional classifications of cloud cover, provide a comprehensive overview of land conditions in Indonesia. Based on the results of the study, the average distribution of land classes reached 10,116. The standard deviation was 14,786, which shows the level of variation in the data against the average value, with the higher value indicating the most significant variation in land classification. This study offers a more potential alternative by using Landsat 8 OLI 2022 satellite imagery data from the USGS as a basis for a more in-depth and accurate analysis of land classification. Thus, the results of this study not only contribute to mapping and understanding land use in Indonesia but also provide useful tools for supporting natural resource planning and management, as well as infrastructure development and sustainable development policies in Indonesia