Multiscale Spatial Assessment of Determinant Factors of Drought Susceptibility: Study at Area of Central Java

A multiscale drought vulnerability study has been conducted in Boyolali Regency and the entire Central Java Province using a modeling approach with several spatial analysis methods. This study compares two mappings in the same area with different scales. Mapping agricultural drought vulnerability at different scales will produce different results on several parameters because the coverage and data used have different accuracies. Both mapping scales use data from April to September 2023. The parameters used in both mappings are also the same, namely the Normalized Difference Vegetation Index (NDVI) to determine vegetation density, Normalized Difference Water Index (NDWI) to determine humidity levels, Land Surface Temperature (LST), and land use/landcover with different weights. A multiscale agricultural drought vulnerability study is needed to understand the differences in scale in research related to agricultural drought vulnerability can produce different results. The results of this study are expected to provide a deeper understanding of the implications of scale selection for drought vulnerability studies, especially in Boyolali Regency and Central Java Province.

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Publication Details

Journal
BIO Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/bioconf/202516703007
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
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article

Multiscale Spatial Assessment of Determinant Factors of Drought Susceptibility: Study at Area of Central Java

Sudaryatno, Mona Siddiq, Osmar Shalih, Lukmanda Indira Putri et al.
BIO Web of Conferences
Hydrology and Drought Analysis
article

Multiscale Spatial Assessment of Determinant Factors of Drought Susceptibility: Study at Area of Central Java

Sudaryatno, Mona Siddiq, Osmar Shalih, Lukmanda Indira Putri, Linggar Putra Pamungkas, Tasya Pratiwi
article en

Abstract

A multiscale drought vulnerability study has been conducted in Boyolali Regency and the entire Central Java Province using a modeling approach with several spatial analysis methods. This study compares two mappings in the same area with different scales. Mapping agricultural drought vulnerability at different scales will produce different results on several parameters because the coverage and data used have different accuracies. Both mapping scales use data from April to September 2023. The parameters used in both mappings are also the same, namely the Normalized Difference Vegetation Index (NDVI) to determine vegetation density, Normalized Difference Water Index (NDWI) to determine humidity levels, Land Surface Temperature (LST), and land use/landcover with different weights. A multiscale agricultural drought vulnerability study is needed to understand the differences in scale in research related to agricultural drought vulnerability can produce different results. The results of this study are expected to provide a deeper understanding of the implications of scale selection for drought vulnerability studies, especially in Boyolali Regency and Central Java Province.

BIO Web of ConferencesVol. 167
Universitas Gadjah Mada (ID), Universitas Pembangunan Nasional Veteran Jakarta (ID)
Openalex Percentile: Top 93%
Hydrology and Drought Analysis
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Multiscale Spatial Assessment of Determinant Factors of Drought Susceptibility: Study at Area of Central Java — Sudaryatno, Mona Siddiq, et al. · BIO Web of Conferences (2025) | TGRS Research Map | TGRS