A Hierarchical Clustering Method for Land Cover Change Detection and Identification

A Hierarchical Clustering Method for Land Cover Change Detection and Identification

A method to detect abrupt land cover changes using hierarchical clustering of multi-temporal satellite imagery was developed. The Autochange method outputs the pre-change land cover class, the change magnitude, and the change type. Pre-change land cover information is transferred to post-change imag...

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Bibliographic Details
Main Authors: Tuomas Häme, Laura Sirro, Jorma Kilpi, Lauri Seitsonen, Kaj Andersson, Timo Melkas
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
change detection
optical
SAR
multi-temporal
forestry
land cover
Online Access:https://www.mdpi.com/2072-4292/12/11/1751

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