Analisis Sebaran Spasial Vegetasi di Kabupaten Sidoarjo Menggunakan Indeks Vegetasi SAR Sentinel-1

Yanitasari, Ilma (2026) Analisis Sebaran Spasial Vegetasi di Kabupaten Sidoarjo Menggunakan Indeks Vegetasi SAR Sentinel-1. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Vegetasi berperan penting dalam menjaga keseimbangan lingkungan, terutama pada wilayah yang mengalami tekanan perubahan penggunaan lahan. Kabupaten Sidoarjo sebagai wilayah penyangga Kota Surabaya memiliki dinamika urbanisasi yang tinggi sehingga pemantauan sebaran vegetasi diperlukan untuk mendukung pengelolaan lingkungan dan perencanaan ruang terbuka hijau. Identifikasi vegetasi umumnya dapat dilakukan menggunakan citra optik, tetapi penggunaan citra optik di wilayah tropis sering terkendala tutupan awan. Untuk mengatasi kendala tersebut, penelitian ini menggunakan citra Synthetic Aperture Radar (SAR) Sentinel-1 Ground Range Detected (GRD) yang mampu merekam permukaan bumi tanpa dipengaruhi kondisi cuaca maupun cahaya matahari. Penelitian ini bertujuan untuk menganalisis akurasi indeks vegetasi berbasis SAR serta memetakan sebaran spasial dan luasan vegetasi di Kabupaten Sidoarjo pada musim hujan dan musim kemarau. Data yang digunakan adalah citra Sentinel-1 GRD tanggal 13 Februari 2025 dan 12 Agustus 2025 dengan polarisasi VV dan VH. Tahapan pengolahan meliputi preprocessing citra, perhitungan Radar Vegetataion Index (RVI), Dual-Polarization SAR Vegetation Index (DPSVI), dan Modified Dual-Polarization SAR Vegetation Index (DPSVIm), klasifikasi menggunakan metode manual thresholding, serta uji akurasi menggunakan confusion matrix berdasarkan titik-titik ground truth. Hasil penelitian menunjukkan bahwa DPSVI menghasilkan akurasi terbaik dibandingkan RVI dan DPSVIm, dengan overall accuracy sebesar 81,7% pada musim hujan dan 86,7% pada musim kemarau. Berdasarkan hasil klasifikasi indeks terbaik, luas vegetasi pada musim hujan sebesar 41.169,35 ha atau 56,88% dan meningkat menjadi 46.097,36 ha atau 63,69% pada musim kemarau. Hasil penelitian menunjukkan bahwa DPSVI merupakan indeks vegetasi berbasis SAR yang paling sesuai untuk memetakan sebaran vegetasi di Kabupaten Sidoarjo menggunakan citra Sentinel-1 GRD. =================================================================================================================================
Vegetation is essential for maintaining environmental balance, particularly in areas experiencing pressure from land use change. Sidoarjo Regency, as a buffer region for Surabaya City, has experienced rapid urbanization, making vegetation distribution monitoring essential to support environmental management and green open space planning. Vegetation identification can generally be performed using optical imagery, but the use of optical imagery in tropical regions is often hampered by cloud cover. To overcome this limitation, this study uses Sentinel-1 Ground Range Detected (GRD) Synthetic Aperture Radar (SAR) imagery, which is capable of capturing the Earth's surface without being affected by weather conditions or sunlight. This study aims to analyze the accuracy of SAR-based vegetation indices and to map the spatial distribution and area of vegetation in Sidoarjo Regency during the rainy and dry seasons. The data used are Sentinel-1 GRD images dated 13 February 2025 and 12 August 2025 with VV and VH polarization. The processing steps included image preprocessing, calculation of the Radar Vegetation Index (RVI), Dual-Polarization SAR Vegetation Index (DPSVI), and Modified Dual-Polarization SAR Vegetation Index (DPSVIm), classification using the manual thresholding method, and accuracy testing using a confusion matrix based on ground truth points. The results of the study show that DPSVI yields the best accuracy compared to RVI and DPSVIm, with an overall accuracy of 81,7% during the rainy season and 86,7% during the dry season. Based on the classification results of the best index, the vegetation area during the rainy season was 41.169,35 ha or 56,88% and increased to 46.097,36 ha or 63,69% during the dry season.The research results indicate that DPSVI is the most suitable SAR-based vegetation index for mapping vegetation distribution in Sidoarjo Regency using Sentinel-1 GRD imagery.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Indeks Vegetasi, Sebaran Vegetasi, Sentinel-1 GRD, Vegetation Indices, Vegetation Distribution, Sentinel-1 GRD
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Ilma Yanitasari
Date Deposited:	20 Jul 2026 01:05
Last Modified:	20 Jul 2026 01:05
URI:	http://repository.its.ac.id/id/eprint/135384

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