Articles | Volume 9, issue 2
Earth Syst. Sci. Data, 9, 791–808, 2017
https://doi.org/10.5194/essd-9-791-2017
Earth Syst. Sci. Data, 9, 791–808, 2017
https://doi.org/10.5194/essd-9-791-2017

Review article 01 Nov 2017

Review article | 01 Nov 2017

A global satellite environmental data record derived from AMSR-E and AMSR2 microwave Earth observations

Jinyang Du et al.

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Cited articles

Alemu, W. G. and Henebry, G. M.: Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands, Environ. Res. Lett., 8, 045002, https://doi.org/10.1088/1748-9326/8/4/045002, 2013.
Armstrong, R. L. and Brodzik, M. J.: An earth-gridded SSM/I data set for cryospheric studies and global change monitoring, Adv. Space Res., 16, 155–163, 1995.
Ashcroft, P. and Wentz, F.: Algorithm Theoretical Basis Document, AMSR Level 2A Algorithm, Santa Rosa, CA, RSS Tech. Rep. 121 599B-1, 1999.
Bedka, S., Knuteson, R., Revercomb, H., Tobin, D., and Turner, D.: An assessment of the absolute accuracy of the Atmospheric Infrared Sounder v5 precipitable water vapor product at tropical, midlatitude, and arctic ground-truth sites: September 2002 through August 2008, J. Geophys. Res., 115, D17310, https://doi.org/10.1029/2009JD013139, 2010.
Brodzik, M. J. and Knowles, K. W.: EASE-Grid: A versatile set of equal area projections and grids, in: Discrete Global Grids, edited by: Goodchild, M., National Center for Geographic Information & Analysis, Santa Barbara, CA, 2002.
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Short summary
We developed a global land parameter data record (LPDR; 2002–2015) using satellite microwave observations. The LPDR algorithms exploit multifrequency microwave observations to derive a set of environmental variables, including surface fractional water, atmosphere precipitable water vapor, daily surface air temperatures, vegetation optical depth, and volumetric soil moisture. The resulting LPDR shows favorable accuracy and provides for the consistent monitoring of global environmental changes.