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Development of a High Spectral Resolution Surface Albedo Product for the Arm Southern Great Plains Central Facility : Volume 4, Issue 9 (01/09/2011)

By McFarlane, S. A.

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Book Id: WPLBN0003974580
Format Type: PDF Article :
File Size: Pages 21
Reproduction Date: 2015

Title: Development of a High Spectral Resolution Surface Albedo Product for the Arm Southern Great Plains Central Facility : Volume 4, Issue 9 (01/09/2011)  
Author: McFarlane, S. A.
Volume: Vol. 4, Issue 9
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Long, C. N., Mlawer, E. J., Gaustad, K. L., Delamere, J., & Mcfarlane, S. A. (2011). Development of a High Spectral Resolution Surface Albedo Product for the Arm Southern Great Plains Central Facility : Volume 4, Issue 9 (01/09/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Pacific Northwest National Laboratory, Richland, WA, USA. We present a method for identifying dominant surface type and estimating high spectral resolution surface albedo at the Atmospheric Radiation Measurement (ARM) facility at the Southern Great Plains (SGP) site in Oklahoma for use in radiative transfer calculations. Given a set of 6-channel narrowband visible and near-infrared irradiance measurements from upward and downward looking multi-filter radiometers (MFRs), four different surface types (snow-covered, green vegetation, partial vegetation, non-vegetated) can be identified. A normalized difference vegetation index (NDVI) is used to distinguish between vegetated and non-vegetated surfaces, and a scaled NDVI index is used to estimate the percentage of green vegetation in partially vegetated surfaces. Based on libraries of spectral albedo measurements, a piecewise continuous function is developed to estimate the high spectral resolution surface albedo for each surface type given the MFR albedo values as input. For partially vegetated surfaces, the albedo is estimated as a linear combination of the green vegetation and non-vegetated surface albedo values. The estimated albedo values are evaluated through comparison to high spectral resolution albedo measurements taken during several Intensive Observational Periods (IOPs) and through comparison of the integrated spectral albedo values to observed broadband albedo measurements. The estimated spectral albedo values agree well with observations for the visible wavelengths constrained by the MFR measurements, but have larger biases and variability at longer wavelengths. Additional MFR channels at 1100 nm and/or 1600 nm would help constrain the high resolution spectral albedo in the near infrared region.

Summary
Development of a high spectral resolution surface albedo product for the ARM Southern Great Plains central facility

Excerpt
Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G.: The ASTER Spectral Library Version 2.0, Remote Sens. Environ., 711–715, 1999.; Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sens. Environ., 62, 241–252, 1997.; Bowker, D. E., Davis, R. E., Myrick, D. L., Stacy, K., and Jones, W. T.: Spectral reflectances of natural targets for use in remote sensing, Tech. rep., NASA Ref Pub., 1139, 1985.; Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectosc. Radiat. Transfer, 91, 233–244, 2005.; Dawson, T. P., Curran, P. J., and Plummer, S. E.: LIBERTY – Modeling the effects of leaf biochemical concentration on reflectance spectra, Remote Sens. Environ., 65, 50–60, 1998.; Flynn, D. M. and Hodges, G.: Multi-filter Rotating Shadowband Radiometer handbook, Tech. rep., United States Department of Energy, DOE/SC-ARM/TR-059, 2005.; Gardener, A. S. and Sharp, M. J.: A review of snow and ice albedo and the development of a new physically based broadband albedo parameterization, J. Geophys. Res., 115, F01009, doi:10.1029/2009JF001444, 2010.; Halthore, R. N. and Schwartz, S.: Comparison of model-estimated and measured diffuse downward irradiance at surface in cloud-free skies, J. Geophys. Res., 105, 20165–21077, 2000.; Halthore, R. N., Crisp, D., Schwartz, S. E., Anderson, G. P., Berk, A., Bonnel, B., Boucher, O., Chang, F.-L., Chou, M.-D., Clothiaux, E. E., Dubuisson, P., Fomin, B., Fouquart, Y., Freidenreich, S., Gautier, C., Kato, S., Laszlo, I., Li, Z., Mather, J. H., Plana-Fattori, A., Ramaswamy, V., Ricchiazzi, P., Shiren, Y., Trishchenko, A., and Wiscombe, W.: Intercomparison of shortwave radiative transfer codes and measurements, J. Geophys. Res., 110, D11206, doi:10.1029/2004JD005293, 2005.; Henderson-Sellers, A. and Wilson, M. F.: Surface albedo data for climatic modeling, Rev. Geophys., 21, 1743–1778, 1983.; USDA: Usual planting and harvesting dates for U.S. field crops, United States Department of Agriculture, 1997.; Jiang, Z., Huete, A. R., Chen, J., Chen, Y., Li, J., Yan, G., and Zhang, X.: Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sens. Environ., 101, 366–378, 2006.; Kustas, W. P., Schumugge, T. J., Jumes, K. S., Jackson, T. H., Parry, R., and Weltz, M. A.: Relationships between evaporative fraction and remotely sensed vegetation index and microwave brightness temperature for semiarid rangelands, J. Appl. Met., 32, 1781–1790, 1993.; Li, Z., Cribb, M. C., and Trishchenko, A. P.: Impact of surface inhomogeneity on solar radiative transfer under overcast conditions, J. Geophys. Res., 116, 4294, doi:10.1029/2001JD000976, 2002.; Liang, S.: Narrowband to broadband conversions of land surface albedo: 1. Algorithms, Remote Sens. Environ., 76, 213–238, 2000.; Liang, S., Stahler, A., and Walthall, C.: Retrieval of land surface albedo from satellite observations: A simulation study, J. Appl. Meteorol., 38, 712–725, 1999.; Liang, S., Fang, H., Chen, M., Shuey, C. J., Walthall, C., Daughtry, C., MOrisette, J., Schaaf, C., and Strahler, A.: Validating MODIS land surface reflectance and albedo products: methods and preliminary results, Remote Sens. Environ., 83, 149–162, 2002.; Lobell, D. B. and Asner, G. P.: Moisture effects on

 

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