Proceedings of the 5th International Conference on Law, Social Sciences and Education, ICLSSE 2023, 1st June 2023, Singaraja, Bali, Indonesia

Research Article

Analysis of Drought in Jember Regency Based on Remote Sensing and Geography Information System

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  • @INPROCEEDINGS{10.4108/eai.1-6-2023.2341367,
        author={Tiara Dwi  Monitasari and A Sediyo Adi  Nugraha and Ida Bagus Made Made  Astawa},
        title={Analysis of Drought in Jember Regency Based on Remote Sensing and Geography Information System},
        proceedings={Proceedings of the 5th International Conference on Law, Social Sciences and Education, ICLSSE 2023, 1st June 2023, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICLSSE},
        year={2023},
        month={12},
        keywords={drought gis landsat},
        doi={10.4108/eai.1-6-2023.2341367}
    }
    
  • Tiara Dwi Monitasari
    A Sediyo Adi Nugraha
    Ida Bagus Made Made Astawa
    Year: 2023
    Analysis of Drought in Jember Regency Based on Remote Sensing and Geography Information System
    ICLSSE
    EAI
    DOI: 10.4108/eai.1-6-2023.2341367
Tiara Dwi Monitasari1,*, A Sediyo Adi Nugraha1, Ida Bagus Made Made Astawa1
  • 1: Universitas Pendidikan Ganesha
*Contact email: tiaramonita9@gmail.com

Abstract

In 2019 the drought that occurred in the Jember Regency area was recorded as many as 39 times spread across 13 regions. The objective of this study is to produce a map of the potential for drought in the Jember Regency area using GIS (weight and score for parameter) and remote sensing techniques. This study used Landsat 8 imagery overlayed to obtain five parameters: rainfall, vegetation index, wetness index and brightness index, and soil texture. The validate of drought parameters that effect by taking multiple samples in the field. The final result for map of drought potential has three classes of drought potential. Low drought potential class with a region area of 45,923 ha, moderate drought potential class with an area of 201,109 ha, and high drought potential class with an area of 59,288 ha.