Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hochheim, Klaus"'
Autor:
Heikkilä, Maija, Pospelova, Vera, Hochheim, Klaus P., Kuzyk, Zou Zou A., Stern, Gary A., Barber, David G., Macdonald, Robie W.
Publikováno v:
In Marine Micropaleontology January 2014 106:79-109
Autor:
Hochheim, Klaus P., Barber, David G.
Publikováno v:
Arctic, Antarctic, and Alpine Research, 2014 Feb 01. 46(1), 66-83.
Externí odkaz:
https://www.jstor.org/stable/24551732
Autor:
Bailey, Joscelyn N.-L., Macdonald, Robie W., Sanei, Hamed, Outridge, Peter M., Johannessen, Sophia C., Hochheim, Klaus, Barber, David, Stern, Gary A.
Publikováno v:
In Marine Geology 1 July 2013 341:1-13
Autor:
Hanesiak, John, Stewart, Ronald, Taylor, Peter, Moore, Kent, Barber, David, McBean, Gordon, Strapp, Walter, Wolde, Mengistu, Goodson, Ron, Hudson, Edward, Hudak, David, Scott, John, Liu, George, Gilligan, Justin, Biswas, Sumita, Desjardins, Danielle, Dyck, Robyn, Fargey, Shannon, Field, Robert, Gascon, Gabrielle, Gordon, Mark, Greene, Heather, Hay, Carling, Henson, William, Hochheim, Klaus, Laplante, Alex, Martin, Rebekah, Melzer, Marna Albarran, Zhang, Shunli
Publikováno v:
Bulletin of the American Meteorological Society, 2010 Jan 01. 91(1), 47-68.
Externí odkaz:
https://www.jstor.org/stable/26232832
Autor:
Hochheim, Klaus P.
The primary focus of this research is the evaluation of RADARSAT-I (5.3 GHz HH) data to: l) understand the nature of seasonal backscatter from wheat and canola; and 2) determine the extent to which RADARSAT can discriminate variations in biomass at t
Externí odkaz:
http://hdl.handle.net/1993/3832
Autor:
Hochheim, Klaus P.
This thesis evaluates tbe use of weekly NOAA (National Oceanic and Atmospheric Administration) AVHRR (Advanced Very High Resolution Radiometer) maximum value NDVI (Normalized Difference Vegetation Index) composite data to predict spring wheat yields
Externí odkaz:
http://hdl.handle.net/1993/3703
Autor:
Hochheim, Klaus P.
The primary focus of this research is the evaluation of RADARSAT-I (5.3 GHz HH) data to: l) understand the nature of seasonal backscatter from wheat and canola; and 2) determine the extent to which RADARSAT can discriminate variations in biomass at t
Externí odkaz:
http://hdl.handle.net/1993/3832
Autor:
Hochheim, Klaus P.
This thesis evaluates tbe use of weekly NOAA (National Oceanic and Atmospheric Administration) AVHRR (Advanced Very High Resolution Radiometer) maximum value NDVI (Normalized Difference Vegetation Index) composite data to predict spring wheat yields
Externí odkaz:
http://hdl.handle.net/1993/3703
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