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Forrest G. Hall

Researcher at Goddard Space Flight Center

Publications -  293
Citations -  2895

Forrest G. Hall is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: EOSDIS & Black spruce. The author has an hindex of 28, co-authored 293 publications receiving 2754 citations. Previous affiliations of Forrest G. Hall include Raytheon.

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Remote sensing of photosynthetic-light-use efficiency of boreal forest

TL;DR: In this paper, a helicopter-mounted portable spectroradiometer and continuous eddy covariance data were used to evaluate the photochemical reflectance index (PRI) as an indicator of canopy photosynthetic light use efficiency (LUE) in four boreal forest species during the Boreal Ecosystem Atmosphere experiment (BOREAS).
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Separating physiologically and directionally induced changes in PRI using BRDF models

TL;DR: In this paper, a semi-empirical kernel-driven model was proposed to model the bi-directional variation in reflectance from isotropic, geometric, and volumetric scattering components of the vegetation canopy.
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Importance of structure and its measurement in quantifying function of forest ecosystems

TL;DR: In this paper, the importance of the 3D characterization of terrestrial ecosystem structure of forests and woodlands and its potential measurement from space is discussed and the relevance of these measurements for reducing the uncertainties of terrestrial carbon cycle and the response of ecosystems to future climate.
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The ISLSCP initiative I global datasets: Surface boundary conditions and atmospheric forcings for land-atmosphere studies

TL;DR: In this article, a comprehensive series of global datasets for land-atmosphere models has been collected, formatted to a common grid, and released on a set of CD-ROMs.
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A three-dimensional radiative transfer method for optical remote sensing of vegetated land surfaces

TL;DR: In this paper, a numerical method for solving the radiative transfer equation in three spatial dimensions was recently developed and analyzed for its numerical behavior, and the reliability of coding and accuracy of the algorithm are evaluated by benchmarking.