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All Journal AIJER: Algazali International Journal Of Educational Research AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT GERAM (GERAKAN AKTIF MENULIS) Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Akrab Juara : Jurnal Ilmu-ilmu Sosial Economics and Digital Business Review Kibas Cenderawasih : Jurnal Ilmiah Kebahasaan dan Kesastraan Tamaddun Paradharma: Jurnal Aplikasi IPTEK Jurnal Sipakatau JGEN : Jurnal Pengabdian Kepada Masyarakat Karya Nyata: Jurnal Pengabdian Kepada Masyarakat Salaga Journal CITAKARYA Jurnal Pengabdian Masyarakat AICOS
Nur Rahmi
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences

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Journal : Salaga Journal

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Drought Level Analysis of Paddy Fields Using the NDDI Method Based on Sentinel-2A Imagery in South Polombangkeng District, Indonesia Rahmi, Nur; Mubarak, Husnul; Nur Faridah, Sitti; Sapsal, Muhammad Tahir
Salaga Journal Volume 03, No. 2, December 2025
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v3i2.2136

Abstract

Drought is a significant climate-related hazard that severely impacts agricultural productivity, particularly in rainfed paddy fields. This study aimed to analyze the spatial distribution and severity of drought in paddy fields using the Normalized Difference Drought Index (NDDI) derived from Sentinel-2A satellite imagery. The research was conducted in South Polombangkeng District, Takalar Regency, South Sulawesi, Indonesia, during the dry season in October 2023. The NDDI was calculated by integrating the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The results indicated that 85.78% of the paddy fields experienced severe drought, while mild and moderate drought covered 9.30% and 4.92%, respectively. NDVI analysis revealed that 87.81% of the area had very low to low vegetation density, and NDWI confirmed extreme moisture deficiency, with 99.88% of the area under very severe drought conditions. The accuracy of the NDDI drought map, validated using the Area Under the Curve (AUC), was 0.62, indicating acceptable model performance. These findings provide critical spatial information for drought mitigation and water management in vulnerable agricultural regions. The study demonstrates the utility of Sentinel-2A and NDDI for localized drought assessment and supports evidence-based decision-making for sustainable farming practices in drought-prone areas.
Co-Authors Abdul Kadir Ahmad Ahmad Ahmad Ahmad Ahmad Ghazali Samad Andi Badli Rompegading Andi Srimularahmah Andrik Radika Saptaputra Arisa Arisa, Arisa Dedi Harianto Dedi Harianto Eka Wulandari Eliza, Nova Fazila, Aditia Silvia Febri Isnawati Felisyashandi Felisyashandi Fony, Fony Gobel, Riska Idrus, Maghfira Irfandi, Rizal Isra Miranda Jumriani, Jumriani Karma, Rudi Karya Agung Kemalasari, Andi Anggi Monika Martiyoli Urei Mubarak, Husnul Muhammad Jufri Muhlis Muliana, Muliana Nur Faridah, Sitti Nurcaya Nurcaya NURUL HIDAYAT Nurwahida Puspitasari, Dhea Octavia Putrawan, Muh. Rizah Putri Wulandari, Putri Wulandari Ridwan Andi Mattoliang Rudi Karma Safitri, Rahmah Diani Sapsal, Muhammad Tahir Sri Asmira Sri Wahyuni Sri Wahyuni Susiyanti, Susiyanti Syam, Agus Ulviani, Maria Wisudawaty, Ika Yetti Anita Yetti Anita