Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation
Remote Sensing of Biosphere Functioning
Beginning in 1972 with the launch of Landsat 1, estimation of terrestrial plant production has been one of the most important applications attempted of satellite remote sensing. Initial interest focused on the prediction of regional crop yields, such as wheat (Erickson, 1984). However, changing goals, hardware capabilities, and theory have produced a steady evolution in the approaches taken to calculate net primary production (NPP) of large areas. Interest has also expanded to calculating primary production of natural vegetation. The much wider array of topography, climate, canopy geometry, and life-cycle dynamics exhibited by natural vegetation make computation of primary production much more challenging than the rather controlled, organized field conditions of a crop.
Aerial photography, Aerial surveys, Amazon River, Biochemistry, Biogeochemical cycles, Biology, Biosphere, Data collection, Forest ecology, Marine flora, Plant physiology, Remote sensing, River basins, Soil moisture, terrestrial ecosystems
© 1990 Springer-Verlag
Running, S. W. "Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation" in Remote Sensing of Biosphere Functioning edited by R.J. Hobbs and H.A. Mooney. New York: Springer-Verlag, 1990.