Software and instructions for kNN applications in forest resources description and estimation.

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https://hdl.handle.net/11299/37198

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Title

Software and instructions for kNN applications in forest resources description and estimation.

Authors

Haapanen, Reija

Ek, Alan R.

Published Date

2001-06

Publisher

University of Minnesota

Type

Report

Abstract

Keywords

k-nearest neighbors

computer applications

Description

The k-nearest neighbors (kNN) method has proven to be a very useful technique to classify and propagate forest field plot information through the landscape. This classification and estimation process reproduces the covariance structure of the observed data and retains the full range of variability inherent in the sample. The applications described here are for use with Landsat TM satellite imagery and USDA Forest Service Forest Inventory and Analysis (FIA) data for Minnesota. However, these applications can be readily adapted to other imagery and forest inventory data formats. The software provides a range of statistical and map analysis and output.

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Department of Forest Resources Staff Paper Series

Series/Report Number

152

Funding information

Research supported by NASA, the USDA Forest Service, the National Council on Air and Stream Improvement, the University of Minnesota’s College of Natural Resources and Minnesota Agricultural Experiment Station.

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Haapanen, Reija; Ek, Alan R.. (2001). Software and instructions for kNN applications in forest resources description and estimation.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/37198.

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