Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Geosfera Indonesia

Mapping of Soil Quality Index (SQI) for Paddy Fields Using Sentinel-2 Imagery, Laboratory Analysis, and Principal Component Analysis Putri Tunjung Sari; Indarto Indarto; Marga Mandala; Bowo Eko Cahyono
Geosfera Indonesia Vol. 6 No. 2 (2021): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v6i2.24506

Abstract

The use of intensive chemical inputs causes lower availability of nutrients, organic matter, cation exchange capacity, and soil degradation.Therefore, this study aims to assess the soil quality index (SQI) for paddy fields in Jember, East Java, Indonesia. Input data for this study consist of land cover (interpreted from the Sentinel-2 image), soil type, and slope maps. Furthermore, the procedure to calculate soil quality index (SQI) include (1) spatial analysis to create the land unit, (2) preparation of soil sampling, (3) soil chemical analysis, (4) principal component analysis (PCA), and (5) reclassifying soil quality index (SQI). The PCA results showed that three variables i.e., % sand, total- P, and % silt were strongly correlated to SQI, while three classes namely very low, low, and medium of SQI were sufficiently used to describe the spatial variability of the paddy field. Furthermore, approximately 41.14% of the paddy field area were classed as very low while 52.23%, and 6.63% were categorized as low and medium SQI respectively. Based on the results, about 93.37% of paddy fields in Jember Regency still require improvement in soil quality via the addition of ameliorants such as organic fertilizers to increase quality and productivity. This application needs to focus on areas with very low-low quality hence, the quality increased to the medium category. Keywords : Mapping; Soil Quality Index (SQI); PCA; Paddy field Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency Wafi, Moh. Abduh; Cahyono, Bowo Eko; Octaviani, Linggar Ayu; Triatmojo, Muhammad Ikbal Nur Dian; Suprianto, Agus
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46612

Abstract

Flood disasters often result in negative impacts, including damage to property, infrastructure, and loss of human lives. Identifying flood-prone areas and implementing appropriate prevention measures can significantly reduce its adverse effects. Mapping  potential flood  plays a key role in land use planning, early warning systems, emergency response, and flood mitigation efforts. In recent years, the Bedadung Watershed has faced issues of fluctuations in water discharge and it has a potential to cause flooding in Jember regency. This study aims to assess the flood vulnerability level in the Bedadung Watershed using parameter’s scoring and weighting methods, followed by an overlay or merging of each parameter. The research findings indicate that parameters influencing flood potential in the Bedadung Watershed are land use and land cover, slope and elevation area, and soil type. The results showed that the areas which are identified as vulnerable and highly vulnerable are mainly located at low elevations (0-500 m) with tend to be safe from occurring flood even though the level of rainfall is high. On the other side, the vegetation cover areas showed the low vulnerable from flood.