Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

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

Haapanen, Reija
Ek, Alan R.
2001-06
Thumbnail Image

View/Download File

Staffpaper152.PDF (319.55 KB)

Persistent link to this item

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

Journal Title

Journal ISSN

Volume Title

Title

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

Authors

Published Date

2001-06

Publisher

University of Minnesota

Type

Report

Abstract

Keywords

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.

Related to

Replaces

License

Collections

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.

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

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.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.