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Forest Classification and Inventory System using Landsat, digital terrain, and ground sample dataAccurate timber inventory data for cost-effective forest management is the primary goal of a Forest Classification and Inventory System (FOCIS) designed to provide estimates of timber volume by species aggregated by compartments, townships, or other spatial management units. FOCIS uses Landsat spectral data, including a synthesized texture channel, and Forest Service ground sample data to produce timber volume-homogeneous classes through a two-step unsupervised clustering process. Registered digital terrain data, including derived slope angle and slope aspect channels, are used to predict species proportions through a trend surface model, again using ground sample data for model calibration. In the final stage of FOCIS, volume estimates and predicted species proportions are merged and aggregated to yield timber volumes by species within management areas.
Document ID
19800038316
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Strahler, A. H.
(California Univ. Santa Barbara, CA, United States)
Woodcock, C. E.
(California, University Santa Barbara, Calif., United States)
Logan, T. L.
(California Institute of Technology, Jet Propulsion Laboratory; Informatics, Inc. Pasadena, Calif., United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1979
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: April 23, 1979
End Date: April 27, 1979
Accession Number
80A22486
Distribution Limits
Public
Copyright
Other

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