Full TGIF Record # 86503
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Web URL(s):http://www-personal.ksu.edu/~shutch/research/Hutchinson%202003.pdf
    Last checked: 10/01/2013
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http://elibrary.asabe.org/azdez.asp?JID=3&AID=12972&CID=t2003&v=46&i=2&T=1&redirType=
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Publication Type:
i
Report
Author(s):Hutchinson, J. M. S.
Author Affiliation:Assistant professor, Department of Geography, Kansas State University, Manhattan, Kansas
Title:Estimating near-surface soil moisture using active microwave satellite imagery and optical sensor inputs
Section:Soil & water
Other records with the "Soil & water" Section
Source:Transactions of the American Society of Agricultural Engineers. Vol. 46, No. 2, March/April 2003, p. 225-236.
# of Pages:12
Publishing Information:St. Joseph, MI
Related Web URL:http://elibrary.asabe.org/abstract.asp?aid=12972&t=3&dabs=Y&redir=&redirType=
    Last checked: 10/03/2013
    Notes: Abstract only
Keywords:TIC Keywords: Soil moisture; Models; GIS; Watersheds; Soil water content; Soil water; Grasslands; Remote sensing
Abstract/Contents:"Recent advances in radar remote sensing techniques illustrate the potential for monitoring soil moisture conditions at spatial and temporal scales required for regional and local modeling efforts. This research examined the feasibility of producing accurate and spatially distributed estimates of soil moisture using a time series of ERS-2 radar images for a tallgrass prairie ecosystem in northeast Kansas. Methods used included field data collection of soil moisture, digital image interpretation of optical (NOAA AVHRR and LANDSAT TM) and radar (ERS-2) imagery, and environmental modeling in a raster geographic information system (GIS) and image processing environment. Critical to this study was determining the scattering behavior of overlying vegetation, or the contribution of vegetation backscatter (σOveg) to the total backscatter coefficient (σOtotal), which was simulated using a modified water cloud model. By removing σOveg from σOtotal, the amount of backscatter contributed by the soil surface (σOsoil) was isolated and the linear relationship between σOsoil and volumetric soil moisture determined. Single-date correlations averaged r = 0.62 and r = 0.67 for a burned and unburned watershed, respectively, within the study area. While previous studies have questioned the sensitivity of C-band radars to near-surface soil moisture conditions, these results show that ERS-2 data may be capable of monitoring soil moisture conditions over even extremely dense natural grassland vegetation."
Language:English
References:41
Note:Maps
Figures
Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hutchinson, J. M. S. 2003. Estimating near-surface soil moisture using active microwave satellite imagery and optical sensor inputs. Trans. Proc. Am. Soc. Agric. Eng. 46(2):p. 225-236.
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Web URL(s):
http://www-personal.ksu.edu/~shutch/research/Hutchinson%202003.pdf
    Last checked: 10/01/2013
    Requires: PDF Reader
http://elibrary.asabe.org/azdez.asp?JID=3&AID=12972&CID=t2003&v=46&i=2&T=1&redirType=
    Last checked: 10/03/2013
    Access conditions: Item is within a limited-access website
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MSU catalog number: S 671 .A452
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