Use of multiple-stage remote sensing techniques to develop forest stocking equationsPortions of a forest supporting density levels that affect natural resource yields must be quantified to estimate the operational feasibility of a proposed management system. Estimates of average parameters do not necessarily provide complete knowledge, particularly with frequently skewed forest parameters. Instead, another statistic, the portion of a forest supporting minimum density levels would be useful to set realistic limits to the implementation of management systems and to establish priorities for operational programs. Such a statistic can be obtained from solutions of forest stocking equations generated by applications of multiple-stage remote sensing techniques.
Document ID
19760050223
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Bisson, H. R. (Arizona Univ. Tucson, AZ, United States)
Rasmussen, W. O. (Arizona Univ. Tucson, AZ, United States)
Ffolliott, P. F. (Arizona, University Tucson, Ariz., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1975
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Symposium on Remote Sensing and Photo Interpretation