4.7 Article

Machine learning approach to predict leaf colour change in Fagus sylvatica L. (Spain)

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biology

Photoperiod controls vegetation phenology across Africa

Tracy Adole et al.

COMMUNICATIONS BIOLOGY (2019)

Article Agronomy

Predicting autumn phenology: How deciduous tree species respond to weather stressors

Yingying Xie et al.

AGRICULTURAL AND FOREST METEOROLOGY (2018)

Article Agronomy

Long-term impacts of drought on growth and forest dynamics in a temperate beech-oak-birch forest

Alvaro Rubio-Cuadrado et al.

AGRICULTURAL AND FOREST METEOROLOGY (2018)

Article Meteorology & Atmospheric Sciences

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

Stephen E. Fick et al.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2017)

Article Biophysics

Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data

Alexander H. K. Montoye et al.

PHYSIOLOGICAL MEASUREMENT (2017)

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Chemistry, Medicinal

Beware of R2: Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models

D. L. J. Alexander et al.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2015)

Review Multidisciplinary Sciences

Machine learning: Trends, perspectives, and prospects

M. I. Jordan et al.

SCIENCE (2015)

Article Environmental Sciences

Evidence of increasing drought severity caused by temperature rise in southern Europe

Sergio M. Vicente-Serrano et al.

ENVIRONMENTAL RESEARCH LETTERS (2014)

Article Biodiversity Conservation

Vulnerability of dynamic genetic conservation units of forest trees in Europe to climate change

Silvio Schueler et al.

GLOBAL CHANGE BIOLOGY (2014)

Article Environmental Sciences

Monitoring fall foliage coloration dynamics using time-series satellite data

Xiaoyang Zhang et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Article Environmental Sciences

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

Dominique Guyon et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Article Biochemical Research Methods

The behaviour of random forest permutation-based variable importance measures under predictor correlation

Kristin K. Nicodemus et al.

BMC BIOINFORMATICS (2010)

Article Forestry

Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems

Marcus Lindner et al.

FOREST ECOLOGY AND MANAGEMENT (2010)

Article Ecology

Near-surface remote sensing of spatial and temporal variation in canopy phenology

Andrew D. Richardson et al.

ECOLOGICAL APPLICATIONS (2009)

Article Plant Sciences

The Control of Autumn Senescence in European Aspen

Yvan Fracheboud et al.

PLANT PHYSIOLOGY (2009)

Article Remote Sensing

Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies

P. S. A. Beck et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Review Forestry

Potential risks for European beech (Fagus sylvatica L.) in a changing climate

Arthur Gessler et al.

TREES-STRUCTURE AND FUNCTION (2007)

Article Biodiversity Conservation

Rapid climate change-related growth decline at the southern range edge of Fagus sylvatica

Alistair S. Jump et al.

GLOBAL CHANGE BIOLOGY (2006)

Article Environmental Sciences

Responses of leaf colouring in four deciduous tree species to climate and weather in Germany

Nicole Estrella et al.

CLIMATE RESEARCH (2006)

Article Meteorology & Atmospheric Sciences

World map of the Koppen-Geiger climate classification updated

Markus Kottek et al.

METEOROLOGISCHE ZEITSCHRIFT (2006)

Article Statistics & Probability

Regularization and variable selection via the elastic net

H Zou et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)