A Process-Oriented Approach to Identify Evolutions of Sea Surface Temperature Anomalies with a Time-Series of a Raster Dataset

A Process-Oriented Approach to Identify Evolutions of Sea Surface Temperature Anomalies with a Time-Series of a Raster Dataset

It is important to consider where, when, and how the evolution of sea surface temperature anomalies (SSTA) plays significant roles in regional or global climate changes. In the comparison of where and when, there is a great challenge in clearly describing how SSTA evolves in space and time. In light...

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Bibliographic Details
Main Authors: Lianwei Li, Yangfeng Xu, Cunjin Xue, Yuxuan Fu, Yuanyu Zhang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
process-oriented mining
graph-based representation
evolution relationship
sea surface temperature anomaly
remote sensing
Online Access:https://www.mdpi.com/2220-9964/10/8/500

Internet

https://www.mdpi.com/2220-9964/10/8/500

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