Spatio-temporal assessment of vegetation and drought severity in Kulon Progo using remote sensing indices

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Nursida Arif, Nur Ariyanto, Eko Budiyanto, Skolastika Widiatikasyanti

2026 IOP Conference Series: Earth and Environmental Science Vol. 1586 Issue 1 Conference paper Cited by 0

Abstract

Drought is one of the most critical environmental issues threatening various regions, including Kulon Progo Regency in the Special Region of Yogyakarta, Indonesia. This study aims to assess the spatial and temporal dynamics of drought severity and vegetation conditions between 2019 and 2024 using remote sensing indices, particularly the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Drought Index (NDDI). Remote sensing data from Landsat 8 and 9, processed using the Google Earth Engine platform, were analyzed to map drought intensity during the dry seasons (May-October) of the selected years. The results indicate that severe drought remained the dominant category, slightly increasing from 90.24% in 2019 to 90.72% in 2024. However, the area classified as extreme drought decreased significantly by 1.81%, from 5.62% in 2019 to 3.81% in 2024. This reflects a spatial shift of extreme drought conditions into less intense categories, particularly in the southern coastal and central regions. These findings demonstrate the utility of NDDI as a drought monitoring tool and highlight priority areas for targeted water resource management and climate adaptation planning. © Published under licence by IOP Publishing Ltd.

Affiliations

Department of Geography Education, Universitas Negeri Yogyakarta, Indonesia