Quantifying Leaf Phenology of Individual Trees and Species in a Tropical Forest Using Unmanned Aerial Vehicle (UAV) Images

Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography

(2018) Stephen Klosterman et al.   AGRICULTURAL AND FOREST METEOROLOGY

Resource acquisition and reproductive strategies of tropical forest in response to the El Niño–Southern Oscillation

(2018) Matteo Detto et al.   Nature Communications

Modelling patterns of pollinator species richness and diversity using satellite image texture

(2017) Sylvia Hofmann et al.   PLoS One

Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery

(2017) Stephen Klosterman et al.   SENSORS

Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance

(2016) Elizabeth A. Freeman et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Dry-season greening of Amazon forests

(2016) Scott R. Saleska et al.   NATURE

Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests

(2016) Jin Wu et al.   NEW PHYTOLOGIST

Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests

(2016) Xiangtao Xu et al.   NEW PHYTOLOGIST

Leaf flush drives dry season green-up of the Central Amazon

(2016) Aline Pontes Lopes et al.   REMOTE SENSING OF ENVIRONMENT

Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

(2016) J. Wu et al.   SCIENCE

Using lightweight unmanned aerial vehicles to monitor tropical forest recovery

(2015) Rakan A. Zahawi et al.   BIOLOGICAL CONSERVATION

A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling

(2015) Mao-Ning Tuanmu et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm

(2015) Oumer S. Ahmed et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure

(2015) Jonathan Dandois et al.   Remote Sensing

Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

(2014) Bruna Alberton et al.   Ecological Informatics

CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change

(2014) Kristina J. Anderson-Teixeira et al.   GLOBAL CHANGE BIOLOGY

Amazon forests maintain consistent canopy structure and greenness during the dry season

(2014) Douglas C. Morton et al.   NATURE

Progress towards an interdisciplinary science of plant phenology: building predictions across space, time and species diversity

(2013) Elizabeth M. Wolkovich et al.   NEW PHYTOLOGIST

Climate change, phenology, and phenological control of vegetation feedbacks to the climate system

(2012) Andrew D. Richardson et al.   AGRICULTURAL AND FOREST METEOROLOGY

Why Is Remote Sensing of Amazon Forest Greenness So Challenging?

(2012) Arindam Samanta et al.   Earth Interactions

A forest structure model that determines crown layers and partitions growth and mortality rates for landscape-scale applications of tropical forests

(2011) Stephanie Bohlman et al.   JOURNAL OF ECOLOGY

Modeling broad-scale patterns of avian species richness across the Midwestern United States with measures of satellite image texture

(2011) Patrick D. Culbert et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of the Distribution of Tabebuia guayacan (Bignoniaceae) Using High-Resolution Remote Sensing Imagery

(2011) Arturo Sánchez-Azofeifa et al.   SENSORS

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

(2009) Andrew D. Richardson et al.   ECOLOGICAL APPLICATIONS

Deciduousness in a seasonal tropical forest in western Thailand: interannual and intraspecific variation in timing, duration and environmental cues

(2008) Laura J. Williams et al.   OECOLOGIA