Spatio-Temporal Pattern Analysis of Land Cover Change: A Case Study in Aridzone

Qiming Zhou*

*Corresponding author for this work

    Research output: Chapter in book/report/conference proceedingChapterpeer-review

    2 Citations (Scopus)

    Abstract

    Remotely sensed data have been widely used for environment change study in the past decades and large collections of remote sensing imagery have made it possible to analyze long-term change of environmental elements and impact of human activities. Research has been widely reported on methodology of remote sensing change detection and monitoring (e.g. Singh 1989, MacLeod and Congalton 1998, Mas 1999, Lu et al. 2004). Change detection approaches can be characterized into two broad groups, namely, bi-temporal change detection and temporal trajectory analysis (Coppin et al. 2004). The former measures land cover changes based on a 'two-epoch' timescale, i.e. The comparison between two dates. Even if land cover information sometimes is acquired for more than two epochs, the changes are still measured on the basis of pairs of dates. The latter analyses the changes based on a 'continuous' timescale, i.e. The focus of the analysis is not only on what has changed between dates, but also on the progress of the change over the period. At present, most change detection methods belong to bi-temporal change detection approach including, for example, image differencing (Weismiller et al. 1977, Maktav and Erbek 2005), vegetation index differencing (Muttitanon and Tripathi 2005), change vector analysis (CVA) (Malila, 1980, Lunetta et al. 2004), principal component analysis (PCA) (Byrne et al. 1980, Liu et al. 2004), post-classification comparison (Weismiller et al. 1977, Dewidar 2004), multi-temporal composite and classification (Zhao et al. 2004), and artificial neural network (ANN) (Dai and Khorram 1999, Liu and Lathrop Jr. 2002).

    Original languageEnglish
    Title of host publicationGeospatial Technology for Earth Observation
    EditorsDeren Li, Jie Shan, Jianya Gong
    PublisherSpringer Boston
    Chapter16
    Pages411-429
    Number of pages19
    Edition1st
    ISBN (Electronic)9781441900500
    ISBN (Print)9781441900494, 9781489981097
    DOIs
    Publication statusPublished - 29 Aug 2009

    Scopus Subject Areas

    • General Environmental Science
    • General Earth and Planetary Sciences

    User-Defined Keywords

    • Land Cover
    • Remote Sensing
    • Land Cover Change
    • Land Cover Type
    • Landscape Metrics

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