PEMETAAN ZONA AGROKLIMAT SCHMIDT FERGUSON MENGGUNAKAN DATA STASIUN PENGAMAT HUJAN DAN PRODUK DATA SATELIT IMERG DI PROVINSI BALI
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Authors:
Wahyu Widodo Putranto, I Wayan Nuarsa, Ni Luh Kartini, I Wayan Andi Yuda, I Made Dwi Wiratmaja
Abstract:
“Schmidt Ferguson map based on rainfall data is utilized to maximize agricultural potential by knowing the spatial pattern of agro-climatic zones. This study aims to produce Schmidt Ferguson agro-climatic zone by corrected IMERG Satellite rainfall data by station base data in Bali Province. The length of monthly rainfall data from each source is six years (2015 – 2016). Initially, IMERG Final Precipitation data level 3 is validated to 73 rainfall observation stations over Bali. Statistical methods used for this purpose are correlation coefficient (r), Root Mean Square Error (RMSE) and paired t-test. The validation results show a good correlation value of 0.62 – 0.93, RMSE value of 63.33 – 208.86 mm, the results of the paired t-test there are significant. Hereinafter, IMERG data are corrected by simple linear regression equation y = 0.905x + 4.0979 with an R2 value of 0.5878. The Schmidt Ferguson agro-climatic zone mapping from rain observation station data resulted in 5 climate zones, namely climate zone B, C, D, E, and F and from IMERG product data, 4 climate zones, namely climate zone B, C, D, and E. Keywords: Observation; IMERG;Data Validation; Schmidt Ferguson Agroclimate Zone”
Keywords
Observation; IMERG;Data Validation; Schmidt Ferguson Agroclimate Zone
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https://jurnal.harianregional.com/ecotrophic/full-86203
Published
2022-12-06
How To Cite
PUTRANTO, Wahyu Widodo et al. PEMETAAN ZONA AGROKLIMAT SCHMIDT FERGUSON MENGGUNAKAN DATA STASIUN PENGAMAT HUJAN DAN PRODUK DATA SATELIT IMERG DI PROVINSI BALI.ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science), [S.l.], v. 16, n. 2, p. 244-253, dec. 2022. ISSN 2503-3395. Available at: https://ojs.unud.ac.id/index.php/ECOTROPHIC/article/view/86203. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/EJES.2022.v16.i02.p11.
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Issue
Vol 16 No 2 (2022)
Section
Articles
Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License
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