reviewInternational Journal of Remote SensingMar 22, 2004Closed access

Review ArticleDigital change detection methods in ecosystem monitoring: a review

KU Leuven · UCLouvain

Indexed incrossref

Abstract

Techniques based on multi-temporal, multi-spectral, satellite-sensor-acquired data have demonstrated potential as a means to detect, identify, map and monitor ecosystem changes, irrespective of their causal agents. This review paper, which summarizes the methods and the results of digital change detection in the optical/infrared domain, has as its primary objective a synthesis of the state of the art today. It approaches digital change detection from three angles. First, the different perspectives from which the variability in ecosystems and the change events have been dealt with are summarized. Change detection between pairs of images (bi-temporal) as well as between time profiles of imagery derived…

Citation impact

2,067
total citations
FWCI
94.64
Percentile
100%
References
120
Citations per year

Authors

5

Topics & keywords

Keywords
  • Change detection
  • Computer science
  • Remote sensing
  • Complementarity (molecular biology)
  • Data mining
  • Data science
  • Artificial intelligence
  • Geography
UN Sustainable Development Goals
  • Life in Land
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