Drought Management in Batam using Combined NDVI-TCT Algorithm to Create a Classification Level Map

Sudra Irawan; Tita Fitriania; Luthfiya Ratna Sari; Suci Dayanti Natali; Satriya Bayu Aji; Sismanto

doi:10.25299/jgeet.2024.9.3.13033

Authors

Sudra Irawan Geomatics Engineering Politeknik Negeri Batam, Batam Kepulauan Riau, Indonesia, 29461
Tita Fitriania Geomatics Engineering Study Program, Politeknik Negeri Batam, Ahmad Yani Street Batam Center, Kota Batam, Indonesia
Luthfiya Ratna Sari Geomatics Engineering Study Program, Politeknik Negeri Batam, Ahmad Yani Street Batam Center, Kota Batam, Indonesia
Suci Dayanti Natali Geomatics Engineering Study Program, Politeknik Negeri Batam, Ahmad Yani Street Batam Center, Kota Batam, Indonesia
Satriya Bayu Aji Geomatics Engineering Study Program, Politeknik Negeri Batam, Ahmad Yani Street Batam Center, Kota Batam, Indonesia.
Sismanto Geophysics Engineering Study Program, Universitas Gadjah Mada, Bulaksumur, Yogyakarta, Indonesia

DOI:

https://doi.org/10.25299/jgeet.2024.9.3.13033

Keywords:

Urban Drought, Spatial Distribution, NDVI-TCT Algorithm, Spatial Assessment

Abstract

Drought constitutes a significant natural disaster with profound implications for agricultural productivity, economic stability, and ecological balance. Batam is one of the cities experiencing a high level of drought. At the end of 2022, Batam is actually on the verge of drought. The purpose of this study is to find out information on the distribution of potential for drought in Batam and the dominant factors affecting the potential for drought occurred using NDVI and TCT algorithms. This research employed remote sensing and GIS techniques, using Landsat 8 images to acquire parameters from NDVI, TCT, and Rainfall data, which are then processed through scoring and overlaying. The final step was to validate the vegetation index parameter by taking the coordinates. The final result is a map of the potential for drought in Batam, consisting of 5 classes of potential for drought. The area with a very low potential for drought was located mostly in Sagulung, with an area of 2.661,89 Ha. The areas with low potential for drought were mostly located in Nongsa, Batam Center, Batu Ampar, Bengkong, Lubuk Baja, and Batu Aji, with an area of 7.175,22 Ha. The areas with a very high potential for drought were mostly located in Galang, Bulang, and Belakang Padang, with an area of 19.744,76 Ha. The area with moderate potential for drought was mostly located in Sungai Beduk, with an area of 22.122,71 Ha. The areas with high potential for drought were mostly located in Galang and Bulang, with an area of 35.663,89 Ha. It is concluded from the results of this research that the collective classification of high and very high drought potential levels covers up to 64% of the entire research area.

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