Abstract
Fractional vegetation cover (FVC) is one of the most critical parameters in monitoring vegetation status. Comprehensive assessment of the FVC products is critical for their improvement and use in land surface models. This study investigates the performances of two major long time serial FVC products: GEOV1 and Australian MODIS. The spatial and temporal consistencies of these products were compared during the 2000–2012 period over the main biome types across the Australian continent. Their accuracies were validated by 443 FVC in-situ measurements during the 2011–2012 period. Our results show that there are strong correlations between the GEOV1 and Australian MODIS FVC products over the main Australian continent while they exhibit large differences and uncertainties in the coastal regions covered by dense forests. GEOV1 and Australian MODIS describe similar seasonal variations over the main biome types with differences in magnitude, while Australian MODIS exhibit unstable temporal variations over grasslands and shifted seasonal variations over evergreen broadleaf forests. The GEOV1 and Australian MODIS products overestimate FVC values over the biome types with high vegetation density and underestimate FVC in sparsely vegetated areas and grasslands. Overall, the GEOV1 and Australian MODIS FVC products agree with in-situ FVC values with a RMSE around 0.10 over the Australian continent.
Highlights
Fractional vegetation cover (FVC), as first introduced by Deardorff [1], is defined as the percentage of the vertical projected area of vegetation within the total statistical area [2]
Each division consists of a mixture of individual drainage basins [29].The Australian MODIS FVC shows high values over the
This study presented the performances of the global GEOV1 and regional Australian MODIS FVC
Summary
Fractional vegetation cover (FVC), as first introduced by Deardorff [1], is defined as the percentage of the vertical projected area of vegetation (including leaves, stems and branches) within the total statistical area [2]. It characterizes the horizontal density of live vegetation and vegetation quality [3]. FVC is an important element in vegetation monitoring [4], numerical weather prediction [5], regional and global climate modeling [6]and global change monitoring [7].
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