Works (55)

Updated: April 11th, 2023 10:13

2023 journal article

Observations of Satellite Land Surface Phenology Indicate That Maximum Leaf Greenness Is More Associated With Global Vegetation Productivity Than Growing Season Length

GLOBAL BIOGEOCHEMICAL CYCLES, 37(3).

By: X. Gao, I. McGregor, J. Gray, M. Friedl* & M. Moon*

author keywords: remote sensing; land surface phenology; vegetation productivity; carbon cycle; climate change; GPP
Sources: Web Of Science, ORCID
Added: February 25, 2023

2022 journal article

Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data

Journal of Data Science.

By: L. Wendelberger, J. Gray, A. Wilson, R. Houborg & B. Reich

Source: ORCID
Added: October 4, 2022

2022 article

Spatial Analysis of Forest Product Manufacturers in North Carolina

Sodiya, O. E., Parajuli, R., Abt, R. C., & Gray, J. (2022, December 17). FOREST SCIENCE, Vol. 12.

By: O. Sodiya, R. Parajuli, R. Abt & J. Gray

author keywords: forest product manufacturers; clustering; hot spots analysis; economic development; forest resources
Sources: Web Of Science, ORCID
Added: December 18, 2022

2022 journal article

Using Deep Learning and Very-High-Resolution Imagery to Map Smallholder Field Boundaries

REMOTE SENSING, 14(13).

By: W. Mei*, H. Wang*, D. Fouhey*, W. Zhou*, I. Hinks, J. Gray, D. Van Berkel*, M. Jain*

author keywords: field boundary delineation; Mask R-CNN; WorldView-3; smallholder farms; India
Sources: Web Of Science, ORCID
Added: July 26, 2022

2021 journal article

Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model

REMOTE SENSING OF ENVIRONMENT, 261.

By: X. Gao, J. Gray & B. Reich

author keywords: Remote sensing; Land surface phenology; Landsat; Bayesian; Long-term; Medium resolution; Time series; Plant phenology; Data sparsity
Sources: Web Of Science, ORCID
Added: June 14, 2021

2021 journal article

Longer greenup periods associated with greater wood volume growth in managed pine stands

AGRICULTURAL AND FOREST METEOROLOGY, 297.

By: X. Gao, J. Gray, C. Cohrs, R. Cook & T. Albaugh

author keywords: Land surface phenology; Forest productivity; Remote sensing; Time series; Competing vegetation
Sources: Web Of Science, ORCID
Added: November 15, 2020

2021 article

Multisensor fusion of remotely sensed vegetation indices using space-time dynamic linear models

Johnson, M. C., Reich, B. J., & Gray, J. M. (2021, May 21). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, Vol. 5.

By: M. Johnson n, B. Reich & J. Gray

author keywords: data fusion; dynamic linear models; remote sensing; spatiotemporal analysis
Sources: Web Of Science, ORCID
Added: June 10, 2021

2020 journal article

Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

REMOTE SENSING OF ENVIRONMENT, 240.

By: D. Bolton*, J. Gray, E. Melaas*, M. Moon*, L. Eklundh* & M. Friedl*

author keywords: Multi-sensor; Land surface phenology; Vegetation index; Image time series; Harmonized Landsat Sentinel
Sources: Web Of Science, ORCID
Added: April 27, 2020

2020 journal article

Mapping Understory Invasive Plants in Urban Forests with Spectral and Temporal Unmixing of Landsat Imagery

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 86(8), 509–518.

By: K. Singh & J. Gray

Sources: Web Of Science, ORCID
Added: October 19, 2020

2020 journal article

Predictors of fire-tolerant oak and fire-sensitive hardwood distribution in a fire-maintained longleaf pine ecosystem

FOREST ECOLOGY AND MANAGEMENT, 477.

By: D. Hannon n, C. Moorman, A. Schultz*, J. Gray & C. DePerno

author keywords: Longleaf pine; Pinus palustris; Oaks; Quercus spp; Fire-adapted hardwoods; Mast-dependent wildlife; Prescribed fire; Ecological restoration
Sources: Web Of Science, ORCID
Added: November 24, 2020

2020 journal article

Sentinel-2 Leaf Area Index Estimation for Pine Plantations in the Southeastern United States

Remote Sensing, 12(9), 1406.

By: C. Cohrs, R. Cook, J. Gray & T. Albaugh

author keywords: leaf area index; loblolly pine; forestry; site variability; forest site productivity; remote sensing; silviculture; stand density; support vector machine; supervised classification
Sources: Web Of Science, Crossref, ORCID
Added: July 20, 2020

2019 conference paper

A Land Surface Phenology Product for North America from Harmonized Landsat 8 and Sentinel-2 imagery

American Geophysical Union, Fall Meeting, B32E–05.

By: D. Bolton, E. Melaas, J. Gray, M. Moon, L. Eklundh & M. Friedl

Source: NC State University Libraries
Added: December 7, 2020

2019 journal article

An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms

REMOTE SENSING, 11(19).

By: R. Stanimirova*, Z. Cai*, E. Melaas*, J. Gray, L. Eklundh*, P. Jonsson*, M. Friedl*

author keywords: Enhanced vegetation index (EVI); land surface phenology; MODIS; phenology product; smoothing methods; TIMESAT
Sources: Web Of Science, ORCID
Added: December 9, 2019

2019 conference paper

Climate controls on springtime phenology in Eastern Temperate Forests of North America

American Geophysical Union, Fall Meeting, B33K–2629.

By: M. Moon, B. Seyednasrollah, A. Richardson, J. Gray & M. Friedl

Source: NC State University Libraries
Added: December 7, 2020

2019 journal article

Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product

REMOTE SENSING OF ENVIRONMENT, 222, 183–194.

By: D. Sulla-Menashe*, J. Gray, S. Abercrombie* & M. Friedl*

author keywords: Global land cover; MODIS; Classification; Hidden Markov models
Sources: Web Of Science, ORCID
Added: February 18, 2019

2019 journal article

Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products

REMOTE SENSING OF ENVIRONMENT, 226, 74–92.

By: M. Moon*, X. Zhang*, G. Henebry, L. Liu*, J. Gray, E. Melaas*, M. Friedl*

author keywords: Land surface phenology; VIIRS; MODIS; Phenology product; Comparison; Validation
Sources: Web Of Science, ORCID
Added: June 4, 2019

2019 report

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

In ORNL DAAC [Data set].

By: B. Seyednasrollah, A. Young, K. Hufkens, T. Milliman, M. Friedl, S. Frolking, A. Richardson, M. Abraha ...

Sources: NC State University Libraries, ORCID
Added: April 8, 2021

2019 conference paper

Web-based Decision Analytics For Mapping Host Species Distributions and Forecasting the Spread of Forest Pests and Pathogens

American Geophysical Union, Fall Meeting, IN52A–03.

By: N. Kruskamp, K. Singh, C. Jones, J. Gray & R. Meentemeyer

Source: NC State University Libraries
Added: December 7, 2020

2018 conference paper

Evaluating machine learning approaches for mapping flood risk

American Geophysical Union, Fall Meeting, H41M–2286.

By: Z. Zhang, K. Martin, J. Gray, K. Stevenson & Y. Yao

Source: NC State University Libraries
Added: December 7, 2020

2018 journal article

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery

AGRICULTURAL AND FOREST METEOROLOGY, 256, 137–149.

By: X. Zhang*, S. Jayavelu*, L. Liu*, M. Friedl*, G. Henebry, Y. Liu*, C. Schaaf*, A. Richardson*, J. Gray

author keywords: Phenocam; VIIRS; Land surface phenology; Validation and evaluation
Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 journal article

Intra-annual phenology for detecting understory plant invasion in urban forests

ISPRS Journal of Photogrammetry and Remote Sensing, 142, 151–161.

By: K. Singh n, Y. Chen n, L. Smart, J. Gray & R. Meentemeyer

author keywords: Biological invasion; Vegetation indices; Vegetation phenology; Normalized difference vegetation index; Ligustrum sinense; Chinese privet; Random forest
Sources: Crossref, ORCID
Added: February 24, 2020

2018 conference paper

Mapping Annual Land Cover and Phenology from MODIS: Global Data Sets Supporting Modeling and Global Change Science

American Geophysical Union, Fall Meeting, GC14B–08.

By: M. Friedl, D. Sulla-menashe & J. Gray

Source: NC State University Libraries
Added: December 8, 2020

2018 conference paper

Quantifying emerging infectious disease impacts on above ground biomass

American Geophysical Union, Fall Meeting, B14B–06.

By: N. Kruskamp, J. Gray & R. Meentemeyer

Source: NC State University Libraries
Added: December 8, 2020

2018 journal article

The managed clearing: An overlooked land-cover type in urbanizing regions?

PLOS ONE, 13(2).

By: K. Singh, M. Madden*, J. Gray & R. Meentemeyer

Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 article

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

Richardson, A. D., Hufkens, K., Milliman, T., Aubrecht, D. M., Chen, M., Gray, J. M., … Frolking, S. (2018, March 13). SCIENTIFIC DATA, Vol. 5.

By: A. Richardson*, K. Hufkens*, T. Milliman*, D. Aubrecht*, M. Chen*, J. Gray, M. Johnston*, T. Keenan* ...

Sources: Web Of Science, ORCID
Added: August 6, 2018

2018 conference paper

USA-NPN Observations Reveal the Ecological Relevance of Remotely Sensed Phenology

American Geophysical Union, Fall Meeting, B53C–05.

By: J. Gray, A. Khan & M. Friedl

Source: NC State University Libraries
Added: January 17, 2021

2017 journal article

Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models

LAND, 6(3).

By: B. Pickard, J. Gray & R. Meentemeyer

author keywords: land change; modeling; accuracy; urbanization
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

Exploration of scaling effects on coarse resolution land surface phenology

Remote Sensing of Environment, 190, 318–330.

By: X. Zhang*, J. Wang*, F. Gao*, Y. Liu*, C. Schaaf*, M. Friedl*, Y. Yu*, S. Jayavelu* ...

author keywords: Land Surface Phonology; Scaling Effects; Spatial Heterogeneity; VIIRS; OLI
Sources: Crossref, ORCID
Added: February 24, 2020

2017 conference paper

Impacts of Extreme Flooding on Hydrologic Connectivity and Water Quality in the Atlantic Coastal Plain and Implications for Vulnerable Populations

American Geophysical Union, Fall Meeting. Washington, D.C.: American Geophysical Union.

By: D. Riveros-Iregui, H. Moser, E. Christenson, J. Gray, M. Hedgespeth, T. Jass, D. Lowry, K. Martin ...

Source: NC State University Libraries
Added: December 4, 2020

2017 report

PhenoCam Dataset v1. 0: Vegetation phenology from digital camera imagery, 2000–2015

In ORNL DAAC [Data set].

By: A. Richardson, K. Hufkens, T. Milliman, D. Aubrecht, M. Chen, J. Gray, M. Johnston, T. Keenan ...

Sources: NC State University Libraries, ORCID
Added: April 8, 2021

2017 conference paper

Using Remote Sensing and Synthetic Controls to Understand Deforestation Drivers and their Moderation by Forest Use in Kalimantan, Indonesia

American Geophysical Union, Fall Meeting, GC52C–07.

By: J. Gray, E. Sills & M. Amanatides

Source: NC State University Libraries
Added: January 17, 2021

2017 conference paper

Water savings from reduced alfalfa cropping in California’s Upper San Joaquin Valley

American Geophysical Union, Fall Meeting, IN51F–0069.

By: K. Singh & J. Gray

Source: NC State University Libraries
Added: December 8, 2020

2016 journal article

A new seasonal-deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios

Global Change Biology, 22(11), 3675–3688.

By: M. Chen*, E. Melaas*, J. Gray, M. Friedl* & A. Richardson*

author keywords: carbon cycle; climate change; Community Land Model; ecosystem services; PhenoCam; phenology; water
Sources: Crossref, ORCID
Added: September 16, 2020

2016 journal article

Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat

Remote Sensing of Environment, 186, 452–464.

By: E. Melaas*, D. Sulla-Menashe*, J. Gray, T. Black*, T. Morin*, A. Richardson*, M. Friedl*

author keywords: Landsat; Phenology; PhenoCam; Eddy covariance; Temperate forests; Boreal forests
Sources: Crossref, ORCID
Added: February 24, 2020

2016 conference paper

Multisource Image Kalman Filtering for Rapid Phenological Monitoring and Forecasting

American Geophysical Union, Fall Meeting Abstracts, B43B–0599. Washington, D.C.: American Geophysical Union.

By: J. Gray, M. Friedl & K. Singh

Source: NC State University Libraries
Added: January 17, 2021

2016 conference paper

Validation of VIIRS Land Surface Phenology using Field Observations, PhenoCam Imagery, and Landsat data.

American Geophysical Union, Fall Meeting Abstracts, B33J–06. Washington, D.C.: American Geophysical Union.

By: X. Zhang, S. Jayavelu, J. Wang, G. Henebry, J. Gray, M. Friedl, Y. Liu, C. Schaaf, A. Shuai

Source: NC State University Libraries
Added: January 17, 2021

2015 conference paper

Incorporating phenology into yield models

American Geophysical Union, Fall Meeting Abstracts, B43A–0540. Washington, D.C.: American Geophysical Union.

By: J. Gray & M. Friedl

Source: NC State University Libraries
Added: January 17, 2021

2015 conference paper

Using three decades of Landsat data to characterize changes and vulnerability of temperate and boreal forest phenology to climate change

American Geophysical Union, Fall Meeting Abstracts, B21G–0548. Washington, D.C.: American Geophysical Union.

By: E. Melaas, D. Sulla-menashe, J. Gray & M. Friedl

Source: NC State University Libraries
Added: January 17, 2021

2014 journal article

A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change

Environmental Research Letters, 9(5), 054006.

By: M. Friedl*, J. Gray, E. Melaas*, A. Richardson*, K. Hufkens*, T. Keenan*, A. Bailey*, J. O’Keefe*

author keywords: climate change; temperate forests; phenology
Sources: Crossref, ORCID
Added: September 16, 2020

2014 journal article

Direct human influence on atmospheric CO2 seasonality from increased cropland productivity

Nature, 515(7527), 398–401.

By: J. Gray, S. Frolking*, E. Kort*, D. Ray*, C. Kucharik*, N. Ramankutty*, M. Friedl*

Sources: Crossref, ORCID
Added: September 9, 2020

2014 journal article

Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery

Biogeosciences, 11(16), 4305–4320.

By: S. Klosterman*, K. Hufkens*, J. Gray, E. Melaas*, O. Sonnentag*, I. Lavine*, L. Mitchell*, R. Norman*, M. Friedl*, A. Richardson*

Sources: Crossref, ORCID
Added: September 16, 2020

2014 conference paper

Increased carbon uptake in the eastern US due to warming induced changes in phenology

European Geosciences Union General Assembly Abstracts, 16. Munchen: European Geosciences Union.

By: T. Keenan, G. Bohrer, M. Friedl, J. Gray, D. Hollinger, J. Munger, H. Schmid, M. Toomey ...

Event: European Geosciences Union, General Assembly at Vienna, Austria on April 7-12, 2013

Source: NC State University Libraries
Added: January 17, 2021

2014 journal article

Mapping Asian Cropping Intensity With MODIS

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(8), 3373–3379.

By: J. Gray, M. Friedl*, S. Frolking*, N. Ramankutty*, A. Nelson* & M. Gumma*

author keywords: Agriculture; remote sensing; time series
Sources: Crossref, ORCID
Added: September 16, 2020

2014 journal article

Mapping Crop Cycles in China Using MODIS-EVI Time Series

Remote Sensing, 6(3), 2473–2493.

By: L. Li*, M. Friedl*, Q. Xin, J. Gray, Y. Pan* & S. Frolking

author keywords: phenology cycles; land cover; land use; planted area; gross sown area; cropping intensity
Sources: Crossref, ORCID
Added: September 16, 2020

2014 journal article

Net carbon uptake has increased through warming-induced changes in temperate forest phenology

Nature Climate Change, 4(7), 598–604.

By: T. Keenan*, J. Gray, M. Friedl*, M. Toomey*, G. Bohrer*, D. Hollinger*, J. Munger*, J. O’Keefe* ...

Sources: Crossref, ORCID
Added: September 9, 2020

2014 conference paper

Standardizing PhenoCam Image Processing and Data Products

American Geophysical Union, Fall Meeting Abstracts, B41K–019. Washington, D.C.: American Geophysical Union.

By: T. Milliman, A. Richardson, S. Klosterman, J. Gray, K. Hufkens, D. Aubrecht, M. Chen, M. Friedl

Source: NC State University Libraries
Added: January 17, 2021

2014 conference paper

Using Time Series of Landsat Data to Improve Understanding of Short-and Long-Term Changes to Vegetation Phenology in Response to Climate Change

American Geophysical Union, Fall Meeting Abstracts. Washington, D.C.: American Geophysical Union.

By: M. Friedl, E. Melaas, D. Sulla-menashe & J. Gray

Source: NC State University Libraries
Added: January 17, 2021

2013 journal article

Consistent classification of image time series with automatic adaptive signature generalization

Remote Sensing of Environment, 134, 333–341.

By: J. Gray & C. Song*

author keywords: Land cover; Classification; Signature extension; Landsat; LCLUC
Sources: Crossref, ORCID
Added: September 9, 2020

2013 conference paper

Large scale maps of cropping intensity in Asia from MODIS

American Geophysical Union, Fall Meeting Abstracts, B41A–0385. Washington, D.C.: American Geophysical Union.

By: J. Gray, M. Friedl, S. Frolking, N. Ramankutty & A. Nelson

Source: NC State University Libraries
Added: January 17, 2021

2012 conference paper

A comparison of phenophase transition dates calculated from MODIS EVI and NBAR-EVI

American Geophysical Union, Fall Meeting Abstracts, B11C–0438. Washington, D.C.: American Geophysical Union.

By: E. Frick, M. Friedl, E. Melaas & J. Gray

Source: NC State University Libraries
Added: January 17, 2021

2012 journal article

Mapping leaf area index using spatial, spectral, and temporal information from multiple sensors

Remote Sensing of Environment, 119, 173–183.

By: J. Gray & C. Song*

author keywords: Leaf area index; Multi-sensor fusion; Phenology; Landsat; MODIS
Sources: Crossref, ORCID
Added: September 9, 2020

2012 conference paper

PhenoCam: A Continental Observatory in Support of Monitoring, Modeling, and Forecasting Phenological Responses to Climate Change

American Geophysical Union, Fall Meeting Abstracts, GC54A–06. Washington, D.C.: American Geophysical Union.

By: M. Friedl, A. Richardson, R. Pless, S. Frolking, T. Milliman, S. Klosterman, M. Toomey, J. Gray

Source: NC State University Libraries
Added: January 17, 2021

2012 thesis

Understanding regional water resource dynamics due to land-cover/land-use and climate changes in the North Carolina Piedmont

(Doctoral Dissertation, University of North Carolina-Chapel Hill).

By: J. Gray

Sources: NC State University Libraries, ORCID
Added: January 17, 2021

2011 chapter

Remote Sensing of Vegetation with Landsat Imagery

In Advances in Environmental Remote Sensing (pp. 3–29).

By: C. Song, J. Gray & F. Gao

Sources: Crossref, ORCID
Added: September 16, 2020

2008 conference paper

Retrieving LAI from Remotely Sensed Images: Spectral Indices vs Spatial Texture

American Geophysical Union, Fall Meeting Abstracts, B33D–03. Washington, D.C.: American Geophysical Union.

By: C. Song, J. Gray & S. Zhang

Source: NC State University Libraries
Added: January 17, 2021