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The Use of Remote Sensing in the Modeling of Forest Productivity pp 241–272Cite as

Global Biospheric Monitoring with Remote Sensing

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Part of the book series: Forestry Sciences ((FOSC,volume 50))

Abstract

Current understanding of global-scale patterns of terrestrial biospheric processes is relatively poor. A better understanding of these patterns is needed to evaluate global environmental changes that may occur in the near future. Satellite remote sensing offers significant promise for providing the information needed to improve this understanding, but uncertainty concerning remote sensing signal information still hinders its usage. This chapter explores selected examples of satellite-derived information based on current understanding of the observations. Primary emphasis is given to the use of Advanced Very High Resolution Radiometer (AVHRR) observations to parameterize primary production efficiency models. Specifically, we consider the bases for extracting information on incident photosynthetically active radiation (PAR), the fraction of PAR captured by plant canopies, air temperature, atmospheric vapor pressure deficits, surface soil moisture and above-ground biomass from satellite observations. Utilizing the potential of satellite remote sensing — the record of terrestrial vegetation and related environmental spatiotemporal patterns — in global-scale ecological research now appears feasible. Further significant progress will be achieved not only with better sensors but more importantly by the development of new conceptual perspectives that consider the linkages between what is observed by the sensors and what occurs in the terrestrial biosphere.

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Authors and Affiliations

  1. Global Engineering Laboratory, Institute of Industrial Science, University of Tokyo, 7-22-1 Roppongi, Minato-ku, Tokyo, 106, Japan

    Dennis G. Dye

  2. Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland, College Park, MD, 20742, USA

    Samuel N. Goward

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  1. Tokai University, Tokyo, Japan

    Haruhisa Shimoda

  2. University of Florida, Gainesville, Florida, USA

    Henry L. Gholz

  3. Hiroshima University, Hiroshima, Japan

    Kaneyuki Nakane

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Goward, S.N., Dye, D.G. (1997). Global Biospheric Monitoring with Remote Sensing. In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_10

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