Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning-Reference-Cited by-同舟云学术

Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning

Published:2015-12 Issue: Volume:357 Page:1-9
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Watt Michael S.,Dash Jonathan P.,Bhandari Santosh,Watt Pete

Funder

Growing Confidence in Forestry’s Future

New Zealand Ministry of Business, Innovation and Employment

New Zealand Forest Growers Levy Trust

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference69 articles.

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4. A review of methods for mapping and prediction of inventory attributes for operational forest management;Brosofske;For. Sci.,2014

5. Isolating individual trees in a savanna woodland using small footprint lidar data;Chen;Photogrammetric Eng. Remote Sens.,2006

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