Issue |
BIO Web Conf.
Volume 148, 2024
International Conference of Biological, Environment, Agriculture, and Food (ICoBEAF 2024)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 14 | |
Section | Agriculture | |
DOI | https://doi.org/10.1051/bioconf/202414803003 | |
Published online | 09 January 2025 |
Identification of land drought potential in Blora district using NDVI and NDWI methods
Departement of Information System, Nusa Putra University, Sukabumi, West Java, Indonesia
* Corresponding author: arny.lattu@nusaputra.ac.id
The plumbing system is an inseparable part of a multi-storey building. Drought is one of the routine disasters occurring in Indonesia. The occurrence of a prolonged disaster caused by the absence of countermeasures and good handling from the government. One of the causes of the drought is seasonal change. Blora district is one of the districts in Central Java that suffers severe drought other than other areas in Central Java which has two seasons: dry season and rainy season. The turn of the season resulted in a long drought in the Blora area. The purpose of this research is to identify the possibility of drought in Blora district by looking at several variables of drought index that is, vegetation index, wetness index and rainfall. To measure the vegetation index using NDVI (Normalized Difference Vegetation Index) method and for measure the wetness index using NDWI (Normalized Difference Water Index) method. The results of this research suggest that there is a relationship between vegetation index, wetness index and rainfall. When the value of wetness index increases then the vegetation index gets more solid. Like the data obtained in April 2016, the vegetation index in Blora District is -0.118 due to the dry season and the minimum rainfall that month.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.