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ANALISIS SPASIAL GENANGAN BANJIR MENGGUNAKAN CITRA SENTINEL-1 SYNTHETIC APERTURE RADAR (SAR) DI KABUPATEN INDRAMAYU Ramadhan, Zidan; Salma, Ghina Yusriyyah; Nulhakim, Diki Lukman; Ridwana, Riki; Aliyan, Silmi Afina
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9905

Abstract

Floods are one of the many disasters that often occur in Indonesia. Based on data released by BNPB (2017), approximately 31.3% of natural disasters that occur in Indonesia are floods. In general, floods also frequently occur in the administrative area of the Indramayu Regency. Indramayu, which is a coastal area and has topography with an average slope of 0-2%, certainly increases the potential for flood disasters. To help deal with the problem of frequent flooding, radar system remote sensing technology can be utilized to map flood inundation areas effectively. This research was conducted to help identify and map the location of flood inundation in Indramayu Regency using Sentinel-1 multi-temporal Synthetic Aperture Radar (SAR) imagery. Radar images are processed on the Google Earth Engine using the Backscatter algorithm method. The processing results show that an area of 87581.5 ha or 42.1% of the total area of Indramayu Regency has the potential and frequent occurrence of flooding.
Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery Himayah, Shafira; Ramadhan, Zidan; Salma, Ghina Yusriyyah
JURNAL GEOGRAFI Vol. 15 No. 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.42656

Abstract

Bandung is West Java's largest metropolitan city and Indonesia's third largest. The city of Bandung is very strategic in various aspects, such as accessibility, communication, public facilities, and the economy. The Increased population in Bandung indicates more complex ongoing human activities, which can then affect changes in land use. The land covers in urban areas tends to change more drastically over a short period e than in rural areas because of rapid urbanization. Therefore, urban phenomenon changes are ideally monitored and detected from satellite images with a multitemporal resolution. Vegetation greenness and built-up areas can identify through multitemporal remote sensing imagery. Changes in vegetation and built-up area can monitor using remote sensing with multitemporal imagery. The analysis of changes in vegetation and built-up area studied in Bandung City represents an area with rapid population growth. This study aims to: 1) Identify changes in vegetation greenness in Bandung City between 2014 and 2021, 2) Identify built-up area changes in Bandung City between 2014 and 2021, 3) Analyze the relevance between vegetation greenness and the built-up area in Bandung City”the correlation between NDBI and NDVI through selected samples is representative of all data in Landsat 8 imagery. The proportion between the values of NDBI and NDVI samples is 0.9034. So, it is concluded that the two variables are positively correlated. Therefore, the study™s results recommend preserving vegetated land cover to conserve natural resources and prevent increased land surface temperature.Keywords: Remote Sensing Imagery, Built-Up Area, Vegetation Greenness, Bandung City
A COMPARATIVE SYSTEMATIC REVIEW OF SPATIAL DISTRIBUTION OF HEAVY METAL CONTAMINATION IN AGRICULTURAL AND INDUSTRIAL SOILS Salma, Ghina Yusriyyah; Pratama, Mochamad Adhiraga
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Bio-industri Pertanian dan Kehutanan, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.11

Abstract

Soil-bound heavy metals have been a major and growing environmental issue in recent decades of time, especially across developing nations in the context of rapid urbanization and industrial development. So far, very few studies have examined the spatial distribution of heavy metal contamination in agri-and/or industrial soils. The objective of this review article is to analyze, identify, evaluate and synthesize the existing knowledge on heavy metal contamination in soils across diverse industrial and agri-based land uses worldwide. The PRISMA 2020 method was used in this review article, involving the selection of 22 journal articles that met the criteria for further study and discussion. Heavy metal contamination in soils is due mainly to industrial activities (82% of the studies) and agricultural activities (64%), whereas both sources of contamination were identified in 45% of the studies. On the other hand, the well-known spatial analysis methods for the spatial distribution of soil heavy metals are kriging and IDW. For the industrial sector, individual heavy metals such as Pb, Cr, Ni, and Zn are of greater concern than in the agricultural sector. These metals accumulate in the environment and the food chain, causing short-term and long-term diseases. The choice of spatial analysis techniques to examine the distribution of heavy metals can be modified based on the availability and reliability of the data. The results provide great guidance to researchers and policymakers in designing and implementing effective strategies for prevention, surveillance, and reduction of exposure to heavy metals worldwide.