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All Journal Jurnal Ilmu Dasar INDONESIAN JOURNAL OF APPLIED PHYSICS
Umniyah, Inas Alfiyatul
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Astronomy Control & Systems Engineering Energy Materials Science & Nanotechnology Mathematics Physics

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Crops Classification in Fragmented Agricultural Land Using Integrated Radar and Optical Remote Sensing Satellite Data Darmawan, Sukma Adi; Cahyono, Bowo Eko; Suprianto, Agus; Umniyah, Inas Alfiyatul
Jurnal ILMU DASAR Vol. 26 No. 2 (2025)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v26i2.53691

Abstract

This study aims to classify crops on fragmented agricultural land by integrating radar (Sentinel-1) and optical (Sentinel-2) satellite remote sensing data. The research responds to the pressing issue of decreasing agricultural land in Jember Regency due to land conversion, which threatens food security. Feature-level fusion is applied to combine spectral indices (NDVI, NDWI, NDBI) from Sentinel-2 and radar backscatter characteristics (VV, VH) from Sentinel-1. Classification was performed using the Random Forest algorithm in the Google Earth Engine (GEE) platform. The results showed that the combination of both datasets provided high overall accuracy (81.58%) in classifying eight land cover types including agricultural crops such as paddy, corn, sugarcane, and citrus. This integration enables better monitoring of complex agricultural landscapes, offering a practical tool for sustainable land management.
Assessment of Settlement Area Development in Jember Regency Area Based on Multitemporal LANDSAT 8 OLI-TIRS Data Cahyono, Bowo Eko; Umniyah, Inas Alfiyatul
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 1 (2025): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i1.97656

Abstract

Jember is a regency in the province of East Java-Indonesia, experiencing residential or settlement area growth because of increasing population as the main trigger for land use changing. Monitoring the development of settlement areas is important for regional and urban planning. Remote sensing technology provides fast and efective methods of classifying land use and land cover for regional aea, so monitoring the development of settelemnent area can be identified easily. This study aims to determine the classification of land use and analyse the distribution or evelopment of settlement area in the Jember District based on LANDSAT 8 OLI-TIRS data for the year of 2013, 2015, 2017, 2019 and 2021. The classification was conducted by supervised classification method using a random forest algorithm. The land use is divided into six classes namely vegetation, water body, settlement, bush grass, open land and paddy field. The results showed that settlement area continues to increase every year, meanwhile the area of vegetation, water bodies, bush grass, open land and paddy fields varies every year. The distribution of settlement area in each sub-district showed that the largest area of settlements occur in Ambulu sub-district with 1,447 ha in 2013, 4,064 ha in 2019, and 3,215 ha in 2021. The other years that are 2015 and 2017, Wuluhan sub-district was detected as the largest area of settlement which are 2,950 ha in 2015 and 2,291 ha in 2017. However, this number of settlement area distribution does not really reflect the level of housing density in each sub-district. Thus, the housing density was calcuated by dividing the settlement area to the sub-district area. It found that the highest settlement density in 2021 is located in Kaliwates sub-district with a percentage of 48%, followed by Sumbersari at 44%, Balung at 31%, Ambulu at 30%, and Umbulsari at 29%.
Analysis of Vegetation Index Values and Sugar Content in Sugarcane Based on Planting Age using Sentinel-2 Satellite Data Umniyah, Inas Alfiyatul; Cahyono, Bowo Eko; Suprianto, Agus; Hakim, Farid Lukman
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.106287

Abstract

This study the relationship between the age of sugarcane plants (Saccharum officinarum L.), vegetation indices, and sugar content using Sentinel-2 satellite imagery in Jember Regency. Vegetation indices such as NDVI, GNDVI, NDRE, and NDII were used to monitor the physiological condition of the plants, while sugar content was measured using a refractometer on the upper, middle, and lower sections of the sugarcane stalks. The results indicate that the highest sugar content was found in the lower stalk section, as this area serves as the primary storage site for sucrose. There is relationship that increasing plant age correlates with changes in vegetation index patterns, peaking during the maximum vegetative phase. These findings offer significant insights into technology-based sugarcane land management, supporting the optimization of harvest timing, irrigation, and fertilization.
Co-Authors Cahyono, Bowo Eko Chatarina Umbul Wahyuni Darmawan, Sukma Adi Hakim, Farid Lukman