R
Ronald J. Hall
Researcher at Natural Resources Canada
Publications - 99
Citations - 6351
Ronald J. Hall is an academic researcher from Natural Resources Canada. The author has contributed to research in topics: Forest inventory & Thematic Mapper. The author has an hindex of 36, co-authored 93 publications receiving 5657 citations. Previous affiliations of Ronald J. Hall include Canterbury of New Zealand & Canadian Forest Service.
Papers
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Journal ArticleDOI
Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements
Jing M. Chen,G. Pavlic,L Brown,Josef Cihlar,Sylvain G. Leblanc,H.P. White,Ronald J. Hall,Derek R. Peddle,Douglas J. King,John A. Trofymow,E Swift,J.J. van der Sanden,Petri Pellikka +12 more
TL;DR: In this paper, a group of Canadian scientists acquired LAI measurements during the summer of 1998 in deciduous, conifer, and mixed forests, and in cropland.
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Effects of biotic disturbances on forest carbon cycling in the United States and Canada
Jeffrey A. Hicke,Craig D. Allen,Ankur R. Desai,Michael Dietze,Ronald J. Hall,Edward H. Hogg,Daniel M. Kashian,David J. P. Moore,Kenneth F. Raffa,Rona N. Sturrock,James E. Vogelmann +10 more
TL;DR: This paper reviewed and synthesized published studies of the effects of biotic disturbances on forest C cycling in the United States and Canada and concluded that such disturbances can have major impacts on forest carbon stocks and fluxes and can be large enough to affect regional carbon cycle.
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Massive mortality of aspen following severe drought along the southern edge of the Canadian boreal forest
TL;DR: In this article, a combination of plot-based, meteorological, and remote sensing measures were used to map and quantify aboveground, dead biomass of trembling aspen (Populus tremuloides Michx.) across an 11.5 mha survey area where drought was exceptionally severe during 2001-2002.
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High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization
TL;DR: The pertinent technical aspects of remote sensing for images at high spatial resolution, existing and future options for the processing and analysis of remotely sensed data, and attributes that can be estimated with these data for forest ecosystems are presented.
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A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission
TL;DR: In this paper, the authors compared the performance of a popular digital camera (Nikon Coolpix 950 with FC-E8 fisheye) with a conventional film camera under different stand structures and sky conditions.