About: Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time

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About: Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time Goto Sponge NotDistinct Permalink

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article published in 2011

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в січні 2011 (uk) im Januar 2011 veröffentlichter wissenschaftlicher Artikel (de) article published in 2011 (en) article scientifique publié en janvier 2011 (fr)
publication date	wds:Q57060132-E9730B09-3233-4484-80A1-4991AE06472E
publication date	2011-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q57060132-9E9F53AF-6896-462E-B5D2-037F50A59BBD
language of work or name	English
cites work	wds:Q57060132-0287D45A-C6FC-4304-83F6-DD4C3595CCCB wds:Q57060132-17286039-F5FA-4D04-9D6F-062B32C2BEF8 wds:Q57060132-23B5A4C2-9B9A-4526-A4AC-CE332547AA81 wds:Q57060132-503A3634-E7AF-41E6-B792-04E53327D997 wds:Q57060132-5953132F-E620-4AD2-9108-348B54B4BE54 wds:Q57060132-5B6D2B27-9CDD-45E5-9792-4C19505AB2F0 wds:Q57060132-6CDF1234-45C4-483E-B852-7129B509F525 wds:Q57060132-70937238-8BEE-4A88-A86E-FF9C2EE3F87B wds:Q57060132-795B9695-6237-4403-AD76-249D452B5F2D wds:Q57060132-79B1081F-13D0-41C7-8958-DFD9274EE366 wds:Q57060132-A8695D5B-1FE2-49C1-907D-72374C3F1CA0 wds:Q57060132-B051FA88-CAAF-49C9-950D-2DC69F59C0DD wds:Q57060132-B33B1B91-DFD4-43BC-A72B-6B0AA2DA8176 wds:Q57060132-B99CD48D-3FEF-447D-806E-592CE806D2AF wds:Q57060132-CE0847CF-A048-461E-83F9-0A68CDF49133 wds:Q57060132-D2F701C0-0BE2-455C-90C8-0B9D41C7CC93 wds:Q57060132-DA6C7FAC-B95B-4A21-ACA3-97BD4DD7C20D wds:Q57060132-E55D8285-27AF-47C5-9276-F42328F2CDC6 wds:Q57060132-F03EE678-426D-4005-8F74-968581E7B125 wds:Q57060132-F6BD4EBA-4A63-4E9D-B8F3-E576D74BBDB4
cites work	Least angle regression Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels A new look at the statistical model identification Ridge Regression: Biased Estimation for Nonorthogonal Problems PLS-regression: a basic tool of chemometrics Estimating the Dimension of a Model Bootstrap Methods: Another Look at the Jackknife Partial least squares regression as an alternative to current regression methods used in ecology Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities Overview of the radiometric and biophysical performance of the MODIS vegetation indices Remote sensing of the distribution and abundance of host species for spruce budworm in Northern Minnesota and Ontario Improvements on Cross-Validation: The .632+ Bootstrap Method Estimation of forest structural parameters using 5 and 10 meter SPOT-5 satellite data Estimation of insect infestation dynamics using a temporal sequence of Landsat data Prediction of eucalypt foliage nitrogen content from satellite-derived hyperspectral data Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: comparison between an airborne (aviris) and a spaceborne (hyperion) sensor Forecasting tree mortality using change metrics derived from MODIS satellite data Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring Detecting mountain pine beetle red attack damage with EO‐1 Hyperion moisture indices Integrating remotely sensed and ancillary data sources to characterize a mountain pine beetle infestation
author name string	wds:Q57060132-C799EC3B-40CA-4B45-8676-27F285EF296D wds:Q57060132-F2BF03CA-54DA-4645-B19A-8F339141B6D3 wds:Q57060132-F46A2711-24E8-4DEF-8D98-32FDA2FCECA0
author name string	Andrew P. Robinson Jan Verbesselt David C. Lazaridis
rdfs:label	Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (en) Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (nl)
skos:prefLabel	Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (en) Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (nl)
name	Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (en) Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (nl)
title	wds:Q57060132-4960B6E1-10D4-45A5-9ED1-FAF90509FA1C
title	Penalized regression techniques for prediction: a case study for predicting tree mortality using remotely sensed vegetation indicesThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time (en)
page(s)	wds:Q57060132-3DFD0BCC-DB66-4F0B-B75C-AD7E40A71BE9
page(s)	24-34
instance of	wds:Q57060132-2EFC3044-CCB4-4438-8FD1-9523BEA4E8CA
instance of	scholarly article
main subject	wds:Q57060132-85BB11E9-F2F8-473B-904C-4C8C5D388CE1
main subject	tree mortality
published in	wds:Q57060132-6306ABC9-D5BF-4173-A2FB-AEEDBBCAA063
published in	Canadian Journal of Forest Research
issue	wds:Q57060132-3600BBFF-AA8D-493B-BF49-93E494D798BB
volume	wds:Q57060132-CB643256-4543-4ACD-A5CF-191036A7D8E5
issue	1
volume	41
DOI	wds:Q57060132-346924E2-380A-44C2-9457-0A41C9335989
DOI	http://dx.doi.org/10.1139/X10-180
DOI	10.1139/X10-180
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57060132
is cites work of	Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?
is cites work of	wds:Q57618522-2E61BA88-8C6D-4268-B73C-253C10882182

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