Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat ImageryReport as inadecuate


Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery


Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery - Download this document for free, or read online. Document in PDF available to download.

1

Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China

2

Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA

3

Department of Geography, University of Connecticut, Storrs, Mansfield, CT 06269, USA





*

Author to whom correspondence should be addressed.



Academic Editors: Richard Sliuzas, Sangram Ganguly and Prasad S. Thenkabail

Abstract Quantifying vegetation fractional cover VFC and assessing its role in heat fluxes modeling using medium resolution remotely sensed data has received less attention than it deserves in heterogeneous urban regions. This study examined two approaches Normalized Difference Vegetation Index NDVI-derived and Multiple Endmember Spectral Mixture Analysis MESMA-derived methods that are commonly used to map VFC based on Landsat imagery, in modeling surface heat fluxes in urban landscape. For this purpose, two different heat flux models, Two-source energy balance TSEB model and Pixel Component Arranging and Comparing Algorithm PCACA model, were adopted for model evaluation and analysis. A comparative analysis of the NDVI-derived and MESMA-derived VFCs showed that the latter achieved more accurate estimates in complex urban regions. When the two sources of VFCs were used as inputs to both TSEB and PCACA models, MESMA-derived urban VFC produced more accurate urban heat fluxes Bowen ratio and latent heat flux relative to NDVI-derived urban VFC. Moreover, our study demonstrated that Landsat imagery-retrieved VFC exhibited greater uncertainty in obtaining urban heat fluxes for the TSEB model than for the PCACA model. View Full-Text

Keywords: urban remote sensing; vegetation fractional cover; urban energy flux; PCACA model; two-source energy balance model urban remote sensing; vegetation fractional cover; urban energy flux; PCACA model; two-source energy balance model





Author: Kai Liu 1,* , Hongbo Su 2 and Xueke Li 3

Source: http://mdpi.com/



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