Estimating Tree Biomass Regressions and Their Error

Estimating Tree Biomass Regressions and Their Error

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Published: 1987

Total Pages: 316

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Proceedings of a workshop co-sponsored by the USDA Forest Service, the State University of New York, and the Society of American Foresters. Presented were papers on the methodology of sample tree selection, tree biomass measurement, construction of biomass tables and estimation of their error, and combining the error of biomass tables with that of the sample plots or points. Also presented were papers on various aspects of biomass research currently being conducted in the United States, Canada, and abroad.


Methods to Estimate Total Forest Biomass for Extensive Forest Inventories

Methods to Estimate Total Forest Biomass for Extensive Forest Inventories

Author: Eric H. Wharton

Publisher:

Published: 1993

Total Pages: 56

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Existing literature on procedures for estimating tree biomass for northeastern tree species includes a number of research studies that are specific and localized. As a result, there is little consistency in these estimation procedures, which are largely in the form of regression equations. In addition, many species are ignored that need to be quantified when inventories of forest resources are conducted over extensive areas. This makes it difficult to determine the most appropriate biomass-estimation procedures. In this paper, an evaluation is made of prediction models and their application over the entire range of northeastern tree species. Recommendations are also made on procedures for the more nontimber oriented elements of total forest biomass-shrub biomass, foliage biomass, stump and root biomass, and biomass on unproductive forest land.


Spatial Accuracy Assessment in Natural Resources and Environmental Sciences

Spatial Accuracy Assessment in Natural Resources and Environmental Sciences

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Published: 1996

Total Pages: 744

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This international symposium on theory and techniques for assessing the accuracy of spatial data and spatial analyses included more than ninety presentations by representatives from government, academic, and private institutions in over twenty countries throughout the world. To encourage interactions across disciplines, presentations in the general subject areas of spatial statistics, geographic information systems, remote sensing, and multidisciplinary approaches were intermixed throughout the three days of sessions.