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Remote Sens. 2017, 9(5), 455; doi:10.3390/rs9050455

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

1,* , 2
and
3
1
Key Laboratory of Water Cycle & 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
Received: 8 December 2016 / Revised: 14 April 2017 / Accepted: 1 May 2017 / Published: 8 May 2017
(This article belongs to the Special Issue Earth Observation in Planning for Sustainable Urban Development)
View Full-Text   |   Download PDF [11541 KB, uploaded 8 May 2017]   |  

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
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, K.; Su, H.; Li, X. Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery. Remote Sens. 2017, 9, 455.

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