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TitleSpatial-temporal-thematic assimilation of Landsat-based and archived historical information for measuring urbanization processes
AuthorZhang, Y; Guindon, B; Sun, K
SourceJournal of Land Use Science vol. 10, no. 4, 2014 p. 369-387, https://doi.org/10.1080/1747423X.2014.939724
Year2014
Alt SeriesEarth Sciences Sector, Contribution Series 20130351
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formathtml; pdf
Subjectsgeophysics; remote sensing; land use; Landsat
Illustrationslocation maps; flow charts; histograms; tables
ProgramMethodology, Remote Sensing Science
Released2014 08 27
AbstractMeasuring urbanization, the processes that govern growth and assessment of its impacts require long term records of land cover and land use change, which cannot typically be provided from a single information source. A prerequisite to the creation of a consistent national information database on Canadian urban growth has been the development of a robust methodology to assimilate land cover / land use information from diverse sources. Two information sources, the Canadian Urban Land Use Survey (CUrLUS) and the Canadian Land Use Monitoring Program (CLUMP) have been used in this process. CUrLUS consists of a suite of contemporary thematic maps derived from satellite images while CLUMP information was extracted through conventional visual interpretation of aerial photography. In the processes of generating integrated temporal series, the compatibility between the two information sets has been assessed and their consistencies at the overall urban mask level and the built-up class level have been analysed. Our assimilation reduces inconsistencies both in thematic categorization and in spatial resolution. The application of the assimilation methodology has led to the generation of consistent urban land cover and land use change information for major Canadian urbanized areas spanning a 35 year period (from 1966 to 2001).
Summary(Plain Language Summary, not published)
In recent decades, Canada has undergone dramatic growth in urbanization. To measure the impacts of this growth, such as on the environment and energy consumption, a long-term time series of land cover changes is needed. This typically cannot be provided from a single information source. In this work, we have developed a robust methodology to assimilate land cover and land use information from two sources; one which consists of maps derived from satellite images, the other which contains information extracted through conventional visual interpretation of aerial photography. Our method reduces inconsistencies in the two data sets, and its application has led to the generation of consistent urban land cover and land use change information for 15 major Canadian urbanized areas spanning a 35 year period (from 1966 to 2001).
GEOSCAN ID293389