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Mapping Biophysical Parameters for Land Surface Modeling over the Continental US Using MODIS and LandsatIn terms of the space cities occupy, urbanization appears as a minor land transformation. However, it permanently modifies land's ecological functions, altering its carbon, energy, and water fluxes. It is therefore necessary to develop a land cover characterization at fine spatial and temporal scales to capture urbanization's effects on surface fluxes. We develop a series of biophysical vegetation parameters such as the fraction of photosynthetically active radiation, leaf area index, vegetation greenness fraction, and roughness length over the continental US using MODIS and Landsat products for 2001. A 13-class land cover map was developed at a climate modeling grid (CMG) merging the 500mMODIS land cover and the 30m impervious surface area from the National Land Cover Database. The landscape subgrid heterogeneity was preserved using fractions of each class from the 500 m and 30 m into the CMG. Biophysical parameters were computed using the 8-day composite Normalized Difference Vegetation Index produced by the North American Carbon Program. In addition to urban impact assessments, this dataset is useful for the computation of surface fluxes in land, vegetation, and urban models and is expected to be widely used in different land cover and land use change applications.
Document ID
20150019785
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Bounoua, Lahouari
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Zhang, Ping
(Maryland Univ. College Park, MD, United States)
Thome, Kurtis
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Masek, Jeffrey
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Safia, Abdelmounaime ORCID
(Sherbrooke Univ. Quebec, Canada)
Imhoff, Marc L.
(Maryland Univ. College Park, MD, United States)
Wolfe, Robert E. ORCID
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
October 27, 2015
Publication Date
January 12, 2015
Publication Information
Publication: Dataset Papers in Science
Publisher: Hindawi
Volume: 2015
e-ISSN: 2314-8497
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN23265
Funding Number(s)
CONTRACT_GRANT: NNX12AD03A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
Keywords
Biophysical
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