Spatial-Temporal Drought Analysis in Jatirogo Subdistrict Using Normalized Difference Drought Index (2020-2025)

Ainur Rochmah; Amaludin Arifia; Marita Ika Joesidawati; Fajar Rahmawan

doi:10.55681/sentri.v5i1.5516

Authors

Ainur Rochmah Universitas PGRI Ronggolawe
Amaludin Arifia Universitas PGRI Ronggolawe
Marita Ika Joesidawati Universitas PGRI Ronggolawe
Fajar Rahmawan NRM Peta Alam Indonesia

DOI:

https://doi.org/10.55681/sentri.v5i1.5516

Keywords:

Drought monitoring; Jatirogo; NDDI; Remote sensing; Sentinel-2.

Abstract

Drought is a recurring hydrometeorological hazard in Indonesia, particularly affecting regions with high rainfall variability and rainfed agriculture dependence. This study analyzes spatial-temporal drought patterns in Jatirogo Subdistrict, Tuban Regency, East Java (2020-2025) using the Normalized Difference Drought Index (NDDI) from Sentinel-2 imagery. The methodology involved image preprocessing, NDVI and NDWI calculation, NDDI derivation, and GIS-based drought classification. Results show strong seasonal patterns with peak severity during August-October, where moderate to severe drought dominated 65-80% of the area annually. The most severe conditions occurred in 2023-2024, with NDDI values exceeding 1.0. Villages including Kebonharjo, Sugihan, Demit, Bader, and Sekaran were identified as highly vulnerable. NDDI-based mapping revealed significant correlations with sectoral impacts: severe drought periods (NDDI > 0.8) corresponded with 40-60% crop yield reductions in rainfed paddies, increased irrigation demand, critical groundwater depletion, and elevated food security vulnerabilities among smallholder farmers. This study demonstrates that Sentinel-2 NDDI integration with GIS effectively supports village-level drought monitoring and provides essential spatial information for targeted mitigation strategies, including water resource management, adaptive agricultural planning, and early warning systems.

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