Regression-based Height Estimation
Regression-Based Height Estimation is a methodological approach within tree height estimation that employs statistical regression models to predict tree heights from covariates such as diameter at breast height, remote sensing data, or other measurable tree attributes, distinguishing itself by its reliance on empirical relationships derived from observed data.
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3.6K
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2017–2026
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Statistic Notes: Regression towards the mean
J Martin Bland, Doug Altman · BMJ · 1994 · 551 citations · Full text
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Universidade de Santiago de Compostela
Santiago de Compostela, Spain
3 h-index
5 publications
226 citations

University of Georgia
Athens, United States
3 h-index
7 publications
334 citations
Virginia Tech
Blacksburg, United States
3 h-index
6 publications
371 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
2 publications
143 citations
Erasmus MC - Sophia Children’s Hospital
Rotterdam, The Netherlands
2 h-index
8 publications
118 citations
Northeast Forestry University
Harbin, China
2 h-index
3 publications
54 citations

Finnish Environment Institute
Helsinki, Finland
2 h-index
2 publications
81 citations

University of London
London, United Kingdom
2 h-index
2 publications
54 citations
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8 publications · 741 citations
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Repository · 7 publications · 158 citations
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6 publications · 367 citations
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5 publications · 347 citations
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