Evaluation of dynamic linkages between evapotranspiration and land-use/land-cover changes with Landsat TM and ETM plus data

    Authors

    Z. Q. Gao; W. Gao;N. B. Chang

    Comments

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    Abbreviated Journal Title

    Int. J. Remote Sens.

    Keywords

    SURFACE-ENERGY BALANCE; DISTRIBUTED HYDROLOGICAL MODEL; PARTIAL CANOPY; COVER; ATMOSPHERIC CORRECTION; DRIVING FORCES; 2-SOURCE MODEL; HEAT-TRANSFER; ALGORITHM; VEGETATION; TEMPERATURE; Remote Sensing; Imaging Science & Photographic Technology

    Abstract

    Complexity embedded in coastal management leads to numerous questions as to how inherent spatial and temporal linkages among evapotranspiration (ET), depth to groundwater and land-use/land-cover change (LUCC) could affect the dynamics among these seemingly unrelated events. This article aims to address such unique dynamics in the nexus of physical geography and ecohydrology. To understand such dynamic linkages, a case study was carried out in a fast growing coastal region - the southern Laizhou Bay in Shandong Province, China - by identifying the coastal LUCC at the decadal scale in association with the variations of ET with the aid of Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) data. In such a coastal landscape evolutionary assessment, findings show that the major patterns of land use and land cover (LULC) in the study area are farmland, saline-alkali land, developed land, salt land and beach land. Over a 20-year time frame, declining groundwater trends were observed, while ET increased gradually with changing LULC. By using the surface energy balance algorithm for land (SEBAL) with Landsat TM/ETM+ images and additional environmental data, the concomitant response of ET variations due to LUCC becomes lucid among three significantly correlated pairs including fractional vegetation cover (FVC), land surface temperature (LST) and soil heat flux. The dynamic linkages between ET and LULC were finally confirmed with such a pair-wise analysis.

    Journal Title

    International Journal of Remote Sensing

    Volume

    33

    Issue/Number

    12

    Publication Date

    1-1-2012

    Document Type

    Article

    Language

    English

    First Page

    3733

    Last Page

    3750

    WOS Identifier

    WOS:000302164100005

    ISSN

    0143-1161

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