This special section contains four papers presented at the SilviLaser 2015 Conference covering the following topics: potential of TLS and mobile lidar for tree structure reconstruction and allometries, photon counting systems and future spaceborne lidar systems, lidar time series and change...
Author(s)
Durrieu, S.; Véga, C.; Fournier, R. A.; McRoberts, R. E.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Remote Sensing of Environment, 2017, 194, pp 414-454
Forty-eight papers discuss forest resource reporting, analysis, biodiversity, modelling, remote sensing and mapping, operations, and software development for the Forest Inventory and Analysis program of the US Forest Service. In addition, 7 presentations discuss inventory techniques in other...
Author(s)
McRoberts, R. E.; Reams, G. A.; Deusen, P. C. Van; McWilliams, W. H.
Publisher
United States Department of Agriculture, Forest Service, Washington, USA
Citation
General Technical Report - USDA Forest Service, 2009, No.WO-79, pp viii + 408 pp.
Allometric models are commonly used to predict forest biomass. These models typically take nonlinear power-law forms that predict individual tree aboveground biomass (AGB) as functions of diameter at breast height (D) and/or tree height (H). Because the residual variance is in most cases...
Author(s)
Dutcă, I.; McRoberts, R. E.; Næsset, E.; Blujdea, V. N. B.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Forest Ecology and Management, 2022, 505,
Thirty-eight papers are included, in sections on policy, analysis, remote sensing and spatial analyses, sampling and estimation, modelling, inventory data applications, all within the USA, and 6 papers on non-US inventories.
Author(s)
McRoberts, R. E.; Reams, G. A.; Deusen, P. C. Van; McWilliams, W. H.
Publisher
United States Department of Agriculture, Forest Service, Washington, USA
Citation
General Technical Report - USDA Forest Service, 2007, No.WO-77, pp vii + 319 pp.
This special issue contains fourteen papers presented at the 2012 ForestSAT conference held in Corvallis, Oregon, USA, during 11-14 September 2012. The papers are previewed in three categories related to their forestry objectives: forest attribute prediction, forest ecosystem disturbance, and...
Author(s)
McRoberts, R. E.; Cohen, W. B.; Pflugmacher, D.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Remote Sensing of Environment, 2014, 151, pp 1-174
Author(s)
McRoberts, R. E.; Fournier, R.; LeMay, V.
Publisher
NRC Research Press, Ottawa, Canada
Citation
Canadian Journal of Forest Research, 2011, 41, 1, pp 1-107
This proceedings contains 28 papers on documenting research in support of annual forest inventories conducted under the auspices of the national Forest Inventory and Analysis programme of the USDA Forest Service. The papers are divided into the following topics: (1) sampling and estimation; (2)...
Author(s)
McRoberts, R. E.; Reams, G. A.; Deusen, P. C. van; Moser, J. W.
Publisher
North Central Forest Experiment Station, USDA Forest Service, St Paul, USA
Citation
General Technical Report - North Central Research Station, USDA Forest Service, 2002, No.NC-230, pp iv + 208 pp.
The United Nations Framework Convention on Climate Change requires annual estimates for forestry and ecological indicators to monitor the change in forest resources, the sustainability of forest management, and the emission and sink of forest carbon. It is particularly important to update estimates ...
Author(s)
Hou ZhengYang; Domke, G. M.; Russell, M. B.; Coulston, J. W.; Nelson, M. D.; Xu Qing; McRoberts, R. E.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Forest Ecology and Management, 2021, 483,
Twenty-four papers are arranged into general topic areas: remote sensing and GIS; statistical estimation and modelling; information management; analysis and reporting; and special studies. Many studies discuss the implementation of an annual inventory system by the US Forest Inventory and Analysis...
Author(s)
Reams, G. A.; McRoberts, R. E.; Deusen, P. C. van
Publisher
Southern Research Station, USDA Forest Service, Asheville, USA
Citation
General Technical Report - Southern Research Station, USDA Forest Service, 2001, No.SRS-47, pp iii + 143 pp.
Obtaining detailed information about the amount of forest cover is an important issue for governmental policy and forest management. This paper presents a new approach to update the Flemish Forest Map using IKONOS imagery. The proposed method is a three-step object-oriented classification routine...
Author(s)
Coillie, F. M. B. van; Verbeke, L. P. C.; Wulf, R. R. de
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Remote Sensing of Environment, 2007, 110, 4, pp 476-487