01100nas a2200193 4500008004100000245005100041210005100092260003400143300001300177520051400190100001800704700001500722700001800737700001600755700001700771700001600788700001700804856008500821 1990 eng d00aSatellite remote sensing and field experiments0 aSatellite remote sensing and field experiments aNew York, NYbSpringer-Verlag a169 -2013 a

The past few years have seen an increasing pressure brought to bear on biologists to apply their research efforts to larger spatial scales. The motivation for this pressure has scientific as well as sociopolitical roots. First, from the science viewpoint, it has become apparent that satellite-based and atmospheric observing techniques can allow researchers a different view of biospheric functioning by spatially integrating the effects of biospheric states and fluxes, respectively, at moderate cost

1 aSellers, P.J.1 aHall, F.G.1 aStrebel, D.E.1 aAsrar, G.A.1 aMurphy, R.E.1 aHobbs, R.J.1 aMooney, H.A. uhttp://lter.konza.ksu.edu/content/satellite-remote-sensing-and-field-experiments02047nas a2200181 4500008004100000245005100041210005100092260001800143300001100161520151700172653001101689100001801700700001901718700001701737700001501754700001801769856007801787 1989 eng d00aData management in the FIFE information system0 aData management in the FIFE information system aVancouver, BC a42 -453 a

The First ISLSCP Field Experiment (FIFE) was conducted during 1987 on a 15 X 15 km area in central Kansas, including the Konza Prairie Natural Research Area. The experiment goal of understanding and modeling the effects of vegetation on the heat an mass fluxes in the atmosphere/land surface boundary layer required a flexible and responsive information system with georeferenced data to permit the necessary coordinated analyses. The FIFE Information Syseem (FIS) met this goal in a variety of ways, depending on the type of data and the type of scientific investigation involved. The FIS has served the FIFE investigatiors as a tool for experiment design, as well as for organizing and manipulating the complex data set. Two specific requirements were rapid and simple access to specialized user specified data sets and quick evolution as the science needs changed. As a result, the FIS differs in several important ways from "classical" data systems, covering the spectrum of conceptual, managerial, and organizational issues. Our experience indcates that the design, development, and operation of an information system supporting such an experiment must be flexible and under direct day-to-day control of scientist/users. This experience has also led to a number of observations (both technological and organizational) for designing and building both future experiment support data bases and long term data systems supporting scientific research. Key words: FIFE, Information Systems, ISLSCP

10aISLSCP1 aStrebel, D.E.1 aNewcomer, J.A.1 aOrmsby, J.P.1 aHall, F.G.1 aSellers, P.J. uhttp://lter.konza.ksu.edu/content/data-management-fife-information-system00901nas a2200169 4500008004100000245004500041210003900086300001100125490000700136520043100143100001800574700001500592700001600607700001800623700001700641856007300658 1988 eng d00aThe first ISLSCP field experiment (FIFE)0 afirst ISLSCP field experiment FIFE a22 -270 v693 a

The International Satellite Land Surface Climatology Project (ISLSCP) was initiated to address the research problems associated with interpretation and exploitation of satellite data over the earth's land surface. As the project developed, it was recognized that these objectives could not be attained unless there was also a clearer understanding of the biological controls acting on land-surface-atmosphere fluxes

1 aSellers, P.J.1 aHall, F.G.1 aAsrar, G.A.1 aStrebel, D.E.1 aMurphy, R.E. uhttp://lter.konza.ksu.edu/content/first-islscp-field-experiment-fife01271nas a2200145 4500008004100000245010800041210006900149300001000218490000600228520070900234100001500943700001800958700001800976856013100994 1988 eng d00aLinking knowledge among spatial and temporal scales: Vegetation, atmosphere, climate and remote sensing0 aLinking knowledge among spatial and temporal scales Vegetation a a3 -220 v23 a

Global scale modeling is reviewed with respect to global circulation models, biosphere-atmosphere models, and climate-biosphere models. These different models focus on short to long time scale interactions between atmospheric and surface systems. Remote sensing is shown to play a central role in acquisition of data for these models, and an experiment, termed FIFE, is described, which is the first attempt to take simultaneous land surface observations of meteorological and biophysical parameters at sufficient resolution to test hypotheses linking the vegetated surface and circulation within the lower atmosphere. Key words: global models, atmosphere, climate, remote sensing, FIFE, biosphere

1 aHall, F.G.1 aStrebel, D.E.1 aSellers, P.J. uhttp://lter.konza.ksu.edu/content/linking-knowledge-among-spatial-and-temporal-scales-vegetation-atmosphere-climate-and-remote