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All Journal Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja) Journal of Geoscience, Engineering, Environment, and Technology
Nisa, Tika Ziadhatin
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Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Engineering Environmental Science Physics Transportation

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Analisis Peta Kekeringan Lahan Pertanian Di Kabupaten Lamongan Menggunakan NDDI (Normalized Difference Drought Index) Nabilah, Salwa; Faroh, Rifky Aisyatul; Affandy, Nur Azizah; Nisa, Tika Ziadhatin; Wijaya, Bara Ramadani
Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja) Vol 13 No 1 (2025): Jurnal Ilmiah MITSU
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/ft.v13i1.3761

Abstract

Agricultural land is a natural resource that plays an important role in the continuity of human life. Lamongan is one of the regencies with vast agricultural land, around 80% of the Lamongan Regency area is agricultural land consisting of rice fields and non-rice fields. However, every year Lamongan is hit by drought in several regions. Drought in Lamongan occurs on average around June - October. Several sub-districts in Lamongan are hit by drought, one of the causes of which is low rainfall during the dry season. This study used rainfall data and Landsat 8 satellite imagery with a time span of August - October 2019 - 2023. Landsat 8 imagery was adjusted to the months used, and image processing to obtain drought results in Lamongan Regency using the NDDI (Normalized Difference Drought Index). From the processing, the results obtained in October 2023 were that the area hit by severe drought was Sarirejo District with an area value of 32,490,000 m2 from the total area of ​​Sarirejo District of 47,380,000 m2. Around 68.57% of the Sarirejo District area was hit by severe drought. This study aims to determine the area affected by drought in the Lamongan area. So it can be used for mitigation in future drought disasters.
Remote Sensing–Driven Drought Assessment Using Temperature Vegetation Dryness Index (TVDI) Derived from Landsat 8 Imagery Affandy, Nur Azizah; Nisa, Tika Ziadhatin; Nabilah, Salwa; Hidayah, Entin
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 3 (2026): JGEET Vol 11 No 03 : September (2026)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2026.11.3.27329

Abstract

Drought, a persistent state of water scarcity, is a critical challenge for agriculture and resource management. This study examines drought variability in Lamongan Regency from 2021 to 2023 using the Temperature Vegetation Dryness Index (TVDI) derived from Landsat 8 imagery, integrating Land Surface Temperature (LST) and NDVI to classify conditions from wet to dry. Results show the largest moderate drought in June 2021 (1,660.39 km²) and the most extensive severe drought in October 2023 (1,561.39 km²). In 2023, wet-normal conditions dominated early months, while dry areas expanded in the peak dry season. In this study, TVDI was derived using a simplified global normalization of LSTmin and LSTmax rather than the standard pixel-by-pixel NDVI-LST triangular feature space, which is acknowledged as a methodological limitation. An anomaly occurred in February, where high rainfall coincided with widespread dryness. Furthermore, validation with rainfall data showed a very weak correlation (R2 =0.090). This low correlation indicates a distinct time lag between precipitation events and soil moisture response, as well as the strong influence of local evapotranspiration and soil water retention capacity rather than rainfall alone. This study demonstrates that while TVDI is useful for rapid drought mapping, integration with local hydrological parameters is essential for improved accuracy.
Co-Authors Entin Hidayah Nabilah, Salwa Nabilah, Salwa Rifky Aisyatul Faroh Wijaya, Bara Ramadani