Biophysical Evaluation of Land-Cover Products for Land–Climate Modeling | Zendy

Jianjun Ge | Zendy; Nathan Torbick | Zendy; Jiaguo Qi | Zendy

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Biophysical Evaluation of Land-Cover Products for Land–Climate Modeling

Author(s) -

Jianjun Ge,

Nathan Torbick,

Jiaguo Qi

Publication year - 2009

Publication title -

earth interactions

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.309

H-Index - 38

ISSN - 1087-3562

DOI - 10.1175/2009ei276.1

Subject(s) - land cover , environmental science , statistic , moderate resolution imaging spectroradiometer , remote sensing , leaf area index , land use , geography , statistics , mathematics , ecology , satellite , engineering , biology , aerospace engineering

The need for accurate characterization of the land surface as boundary conditions in climate models has been recognized widely in the cli- mate modeling community. A large number of land-cover datasets are currently used in climate models either to better represent surface conditions or to study the impacts of surface changes. Deciding upon land-cover datasets can be chal- lenging because the datasets are made with different sensors, ranging method- ologies, and varying classification objectives. A new statistical measure Q was developed to evaluate land-cover datasets in land-climate interaction research. This measure calculates biophysical precision of land-cover datasets using 1-km monthly Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index (LAI) product. This method aggregates within-class biophysical consistency, calculated as LAI variation, across a study domain and over multiple

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