Paper Info
Title
High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model
Abstract
Two methods for the generation of high spatial and temporal LAI data were developed.The potential of eight SVIs were analyzed in mapping LAI.Two application strategies of spatial and temporal data fusion method were compared.The saturation effect of eight SVIs in high LAI values were tested. Leaf area index (LAI) is an important input parameter for biogeochemical and ecosystem process models. Mapping LAI using remotely sensed data has been a major objective in remote sensing research to date. However, the current LAI product mapped by remote sensing is both spatially and temporally discontinuous as a result of cloud cover, seasonal snows, and instrumental constraints. This has limited the application of LAI to ground surface process simulations, climatic modeling, and global change research. To fill these gaps in LAI products, this study develops an algorithm to provide high spatial and temporal resolution LAI products with synthetic Landsat data, generated by a spatial and temporal data fusion model (STDFA). The model has been developed and validated within the Changping District of Beijing, China. Using Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data and real Landsat data, this method can generate LAI data whose spatial (temporal) resolution is the same as that of the Landsat (MODIS) data. Linear regression analysis was performed to compare the modeled data with field-measured LAI data, and indicates that this new method can provide accurate estimates of LAI, with R2 equal to 0.977 and root mean square error (RMSE) equal to 0.1585m2m-2 (P
Year
DOI
Venue
2015
10.1016/j.compag.2015.05.003
Computers and Electronics in Agriculture
Keywords
Field
DocType
Leaf area index,Spatial and temporal data fusion,Remote sensing,Winter wheat
Leaf area index,Moderate-resolution imaging spectroradiometer,Vegetation,Remote sensing,Mean squared error,Normalized Difference Vegetation Index,Engineering,Enhanced vegetation index,Temporal resolution,Linear regression
Journal
Volume
Issue
ISSN
115
C
0168-1699
Citations 
PageRank 
References 
10
0.75
8
Authors
5
Name
Order
Citations
PageRank
Mingquan Wu116918.49
Chaoyang Wu2366.28
Wenjiang Huang317951.84
Zheng Niu414422.34
Changyao Wang5908.63