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

• Published in: Modeling Earth Systems and Environment
• Main Authors: Cendana Fitrahanjani, -, Tofan Agung Eka Prasetya, -, Rachmah Indawati, -
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Nature logo 2021
• Subjects: QC981 Climate; Arctic; Gustav Adolf Land; Nordaustlandet; Vegafonna; Climate change; Global warming; Spitsbergen
• Online Access: https://repository.unair.ac.id/113896/; 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://www.springer.com/journal/40808; https://doi.org/10.1007/s40808-020-00907-6

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...