A statistical method for analysing temperature increase from remote sensing data with application to Spitsbergen Island

A statistical method for analysing temperature increase from remote sensing data with application to Spitsbergen Island

Arctic plays as a key climatic region, it is highly affected by climate change. Climate change has long been considered as an effect of global warming, it is derived from complex linkages and changes in climate variables. Land surface temperature (LST) is known as one of the essential climate variab...

Full description

Saved in:
Bibliographic Details
Main Authors: Cendana Fitrahanjani, -, Tofan Agung Eka Prasetya, -, Rachmah Indawati, -
Format: Article PeerReviewed
Language:English
English
English
Published: Springer Nature logo 2021
Subjects:
QC981 Climate
Online Access:https://repository.unair.ac.id/113896/1/15%20turnitin.pdf
https://repository.unair.ac.id/113896/2/15%20gabungan.pdf
https://repository.unair.ac.id/113896/5/1a%20statistical%20method.pdf
https://repository.unair.ac.id/113896/
https://www.springer.com/journal/40808
https://doi.org/10.1007/s40808-020-00907-6
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universitas Airlangga
Language: English
English
English

Internet

https://repository.unair.ac.id/113896/1/15%20turnitin.pdf
https://repository.unair.ac.id/113896/2/15%20gabungan.pdf
https://repository.unair.ac.id/113896/5/1a%20statistical%20method.pdf
https://repository.unair.ac.id/113896/
https://www.springer.com/journal/40808
https://doi.org/10.1007/s40808-020-00907-6

Similar Items