Explanipedia

Supplementary material to "Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset" Open

Adam M. Young, Tom Milliman, Koen Hufkens, Keith Ballou, Christopher Coffey , et al. · 2025

Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset Open

Adam M. Young, Tom Milliman, Koen Hufkens, Keith Ballou, Christopher Coffey , et al. · 2025

Vegetation phenology plays a significant role in driving seasonal patterns in land-atmosphere interactions and ecosystem productivity, and is a key factor to consider when modeling or investigating ecological and land-surface dynamics. To …

Global urban structural growth shows a profound shift from spreading out to building up Open

Steve Frolking, Richa Mahtta, Tom Milliman, Thomas Esch, Karen C. Seto · 2024

We present a new study examining the dynamics of global urban building growth rates over the past three decades. By combining datasets for 1,550+ cities from several space-borne sensors—data from three scatterometers and settlement-built f…

SPRUCE Vegetation Phenology in Experimental Plots from Phenocam Imagery, 2015-2023 Open

Andrew D. Richardson, Christina Schädel, Oscar R. Zimmerman, Tom Milliman, Kyle J. Pearson , et al. · 2024

This data set consists of PhenoCam data from the SPRUCE experiment from the beginning of whole ecosystem warming (Hanson et al. 2017) in August 2015 through March 31 of 2024, with start- and end-of-season phenological transition dates deri…

Three decades of global trends in urban microwave backscatter, building volume and city GDP Open

Steve Frolking, Richa Mahtta, Tom Milliman, Karen C. Seto · 2022

Most mapped urban information is essentially two-dimensional, e.g., areal extent by urban cover type. There is a gap in knowledge about patterns and changes of urban built-up volumes and development intensity globally. Here we use a new da…

A global urban microwave backscatter time series data set for 1993–2020 using ERS, QuikSCAT, and ASCAT data Open

Steve Frolking, Tom Milliman, Richa Mahtta, A. C. Paget, David G. Long , et al. · 2022

Publisher Correction: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Open

Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, Tom Milliman, M. A. Friedl , et al. · 2019

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Open

Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, Tom Milliman, M. A. Friedl , et al. · 2019

Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Open

Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, Tom Milliman, M. A. Friedl , et al. · 2019

This dataset contains key characteristics about the data described in the Data Descriptor Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Contents: 1. human readable metadata summary table i…

PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 Open

Tom Milliman, Bijan Seyednasrollah, A.M. Young, Koen Hufkens, FRIEDL ‡ , et al. · 2019

This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 393 sites predominantly in North America from 2000-2018. The raw imagery was used to derive information on p…

PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 Open

Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, Tom Milliman, FRIEDL ‡ , et al. · 2019

This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength a…

Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Open

Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, Tom Milliman, M. A. Friedl , et al. · 2019

This dataset contains key characteristics about the data described in the Data Descriptor Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Contents: 1. human readable metadata summary table i…

Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures Open

Andrew D. Richardson, Koen Hufkens, Tom Milliman, Donald M. Aubrecht, Morgan E. Furze , et al. · 2018

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing Open

Andrew D. Richardson, Koen Hufkens, Tom Milliman, Steve Frolking · 2018

xROI: A Toolkit to Delineate Region of Interests (ROI's) and Extract Time-series Data from Digital Repeat Photography Images Open

Bijan Seyednasrollah, Tom Milliman, Andrew D. Richardson · 2018

Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based sta…

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery Open

Andrew D. Richardson, Koen Hufkens, Tom Milliman, Donald M. Aubrecht, Min Chen , et al. · 2018

PhenoCam Dataset v1.0: Digital Camera Imagery from the PhenoCam Network, 2000-2015 Open

Tom Milliman, Koen Hufkens, A D Richardson, Donald M. Aubrecht, Ming Chen , et al. · 2018

This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 133 sites in North America and Europe from 2000-2015. The raw imagery was used to derive information on phen…

drawROI: An interactive toolkit to extract phenological time series data from digital repeat photography Open

Bijan Seyednasrollah, Tom Milliman, Koen Hufkens, Margaret Kosmala, A. D. Richardson · 2017

Here, we introduce and present "DrawROI" as an interactive web-based application for imagery from PhenoCam. DrawROI can also be used offline, as a fully independent toolkit that significantly facilitates extraction of phenologica…

PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 Open

A D Richardson, Koen Hufkens, Tom Milliman, Donald M. Aubrecht, Ming Chen , et al. · 2017

This data set provides a time series of vegetation phenological observations for 133 sites across diverse ecosystems of North America and Europe from 2000-2015. The phenology data were derived from conventional visible-wavelength automated…

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