Open Access
Issue
E3S Web Conf.
Volume 211, 2020
The 1st JESSD Symposium: International Symposium of Earth, Energy, Environmental Science and Sustainable Development 2020
Article Number 02005
Number of page(s) 10
Section General Environmental Modelling
DOI https://doi.org/10.1051/e3sconf/202021102005
Published online 25 November 2020
  1. I. Iskandar, There are “Two Poles” in the Indian Ocean, Lembaga Ilmu Pengetahuan Indonesia (2008) [Google Scholar]
  2. Liong TH, Siregar P, Bannu. The Role of Grouping in Drought Predictions in Indonesia. Proceedings of the 2002 National Weather and Climate Prediction Meeting; Development and Application of Weather and Climate Prediction Techniques, J. of Computer Science 1, 23-49 (2003) [Google Scholar]
  3. National Institute of Aeronautics and Space (LAPAN). Fenomena Iklim: Fenomena El Nino Ekstrem di Indonesia (2015). Available from: http://www.lapan.go.id/ [Google Scholar]
  4. Hadiyanto S. Pola Tingkat Kerawanan Kekeringan di Jawa Tengah. Depok: Department of Geography FMIPA UI (2014) [Google Scholar]
  5. West H, Quinn N, Horswell M. Remote sensing for drought monitoring & impact assessment : Progress, past challenges and future opportunities. Remote Sens Environ [Internet], 232 (2018). Available from: https://doi.org/10.1016/j.rse.2019.111291 [Google Scholar]
  6. Athoillah, Ibnu. Sibarani, R.M. Doloksaribu, D.E. Analisis Spasial Pengaruh Kejadian El Nino Kuat Tahun 2015 dan La Nina Lemah Tahun 2016 Terhadap Kelembapan, Angin dan Curah Hujan di Indonesia. Jurnal Sains & Teknologi Modifikasi Cuaca 18, 33–41 (2017) [CrossRef] [Google Scholar]
  7. Ministry of Agriculture. El Nino and La-Nina Analysis and Prediction of 2019 (2019). Available from: http://sipetani.pertanian.go.id/ [Google Scholar]
  8. Regional Disaster Management Agency (BPBD). Regional Disaster Management Agency Karawang Regency (2019). Available form: http://www.karawangkab.go.id/ [Google Scholar]
  9. Unit Pelaksanan Teknis Dinas (UPTD) Pengelolaan Pertanian Kecamatan Ciampel. Program Penyuluhan Pertanian Kecamatan Ciampel Tahun 2020. Karawang: Unit Pelaksanan Teknis Dinas (UPTD) Pengelolaan Pertanian Kecamatan Ciampel (2019). [Google Scholar]
  10. Badan Pusat Statistik (BPS). Kabupaten Karawang Dalam Angka 2016. Karawang. Badan Pusat Statistik. Indonesia (2016) [Google Scholar]
  11. Badan Pusat Statistik (BPS). Kabupaten Karawang Dalam Angka 2019. Karawang: Badan Pusat Statistik. Indonesia (2019) [Google Scholar]
  12. Raharjo, Puguh Dwi. Teknik Pengindraan Jauh dan Sistem Informasi Geografis Untuk Identifikasi Potensi Kekeringan. Jawa Tengah: Balai Informasi dan Konservasi Kebumian, Karangsambung, Lembaga Ilmu Pengetahuan Indonesia 14, 97-105 (2010) [Google Scholar]
  13. Hasan A B M, Zhang L, Shuai T and Tong Q. Derivation of a Tasselled Cap Transformation Based on Landsat 8 At-Satellite Reflectance. Remote Sensing Letters 5:5, 423-431 (2014) [CrossRef] [Google Scholar]
  14. Jamil DH, Tjahjono H, Parman S. Deteksi Potensi Kekeringan Berbasis Pengindraan Jauh dan Sistem Informasi Geografis di Kabupaten Klaten, 2(2): 30-7 (2013) [Google Scholar]
  15. Anugerah, M.M., Wibowo A., Kusratmoko E. Detection of drought area using greening index and wetness index in Sukaresmi Subdistrict, Regency Cianjur, West java. Padjadjaran Earth Dialogues, International Symposium on Geographical Issues. IOP Conference Series: Earth and Environmental Science 311 (2019) [Google Scholar]
  16. Putri DN, Saraswati R, Ash-shidiq IP. Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency, 9(201 9):8–11 (2019) [Google Scholar]
  17. Ardiansyah. Remote Sensing Image Processing Using ENVI 5.1 and ENVI LIDAR. Jakarta: PT Labsig Inderaja Islim (2015) [Google Scholar]
  18. Rasjiddin AI, Sobirin S, Waryono T. The potential of agriculture is drought according to the brightness and wetness index on Kebumen district (2017) Availabe from: https://doi.org/10.1088/1755-1315/481/1/012060 [Google Scholar]

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