Long term of sea surface temperature prediction for Indonesia seas using multi time-series satellite data for upwelling dynamics projection-Reference-Cited by-同舟云学术

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Long term of sea surface temperature prediction for Indonesia seas using multi time-series satellite data for upwelling dynamics projection

Published:2024-01 Issue: Volume:33 Page:101117
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Tresnawati Restu,Wirasatriya Anindya^ORCID,Wibowo Adi,Susanto R. Dwi^ORCID,Widiaratih Rikha,Setiawan Joga Dharma,Maro Jahved Ferianto^ORCID,Dollu Efrin Antonia,Fitria Shoimatul,Kurang Rosalina Yuliana

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference61 articles.

1. Seasonal distribution and variability of surface winds in the Indonesian seas using scatterometer and reanalysis data;Alifdini;Int. J. Climatol.,2021

2. Correlation and Regression Analysis: a Historian's Guide;Archdeacon,1994

3. Satellite derived sea surface temperature variability off California during the upwelling season;Armstrong;Remote Sens. Environ.,2000

4. A deep learning model for process fault prognosis;Arunthavanathan;Process Saf. Environ. Protect.,2021

5. The correlation coefficient: an overview;Asuero;Crit. Rev. Anal. Chem.,2006

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