Remote sensing of vegetation canopy photosynthetic and stomatal conductance efficiencies

R. B. Myneni, Barry D Ganapol, G. Asrar

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

The problem of remote sensing the canopy photosynthetic and stomatal conductance efficiencies is investigated with the aid of one- and three-dimensional radiative transfer methods coupled to a semiempirical mechanistic model of leaf photosynthesis and stomatal conductance. Desertlike vegetation is modeled as clumps of leaves randomly distributed on a bright dry soil with partial ground cover. Normalized difference vegetation index (NDVI), canopy photosynthetic (Ep), and stomatal efficiencies (Es) are calculated for various geometrical, optical, and illumination conditions. A base case is defined to investigate the dynamics of Ep and Es with respect to ground cover, clump leaf area index, soil reflectance, and atmospheric conditions. The contribution of various radiative fluxes to estimates of Ep is evaluated and the magnitude of errors in bulk canopy formulation of problem parameters are quantifieid. The nature and sensitivity of the relationship between Ep and Es to NDVI is investigated and an algorithim is proposed for use in operational remote sensing.

Original languageEnglish (US)
Pages (from-to)217-238
Number of pages22
JournalRemote Sensing of Environment
Volume42
Issue number3
DOIs
StatePublished - 1992
Externally publishedYes

Fingerprint

stomatal conductance
remote sensing
Remote sensing
ground cover
canopy
NDVI
vegetation
mechanistic models
Soils
leaf area index
reflectance
radiative transfer
Photosynthesis
lighting
leaves
soil
Radiative transfer
photosynthesis
Lighting
Fluxes

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Environmental Science(all)
  • Management, Monitoring, Policy and Law

Cite this

Remote sensing of vegetation canopy photosynthetic and stomatal conductance efficiencies. / Myneni, R. B.; Ganapol, Barry D; Asrar, G.

In: Remote Sensing of Environment, Vol. 42, No. 3, 1992, p. 217-238.

Research output: Contribution to journalArticle

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