Paper Info
Title
Fractional vegetation cover estimation in heterogeneous areas by combining a radiative transfer model and a dynamic vegetation model
Abstract
A fractional vegetation cover (FVC) estimation method incorporating a vegetation growth model and a radiative transfer model was previously developed, which was suitable for FVC estimation in homogeneous areas because the finer-resolution pixels corresponding to one coarse-resolution FVC pixel were all assumed to have the same vegetation growth model. However, this assumption does not hold over heterogeneous areas, meaning that the method cannot be applied to large regions. Therefore, this study proposes a finer spatial resolution FVC estimation method applicable to heterogeneous areas using Landsat 8 Operational Land Imager reflectance data and Global LAnd Surface Satellite (GLASS) FVC product. The FVC product was first decomposed according to the normalized difference vegetation index from the Landsat 8 OLI data. Then, independent dynamic vegetation models were built for each finer-resolution pixel. Finally, the dynamic vegetation model and a radiative transfer model were combined to estimate FVC at the Landsat 8 scale. Validation results indicated that the proposed method (R-2 = 0.7757, RMSE = 0.0881) performed better than either the previous method (R-2 = 0.7038, RMSE = 0.1125) or a commonly used method involving look-up table inversions of the PROSAIL model (R-2 = 0.7457, RMSE = 0.1249).
Year
DOI
Venue
2020
10.1080/17538947.2018.1531438
INTERNATIONAL JOURNAL OF DIGITAL EARTH
Keywords
DocType
Volume
Dynamic Bayesian network,fractional vegetation cover,global land surface satellite,radiative transfer model,dynamic vegetation model
Journal
13.0
Issue
ISSN
Citations 
4.0
1753-8947
0
PageRank 
References 
Authors
0.34
8
6
Name
Order
Citations
PageRank
Yixuan Tu121.06
Kun Jia24210.20
Shunlin Liang3611116.22
xiangqin wei4407.02
Yunjun Yao510530.36
Xiaotong Zhang6101.77