TY - JOUR
T1 - A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites
AU - Moon, Minkyu
AU - Richardson, Andrew D.
AU - Milliman, Thomas
AU - Friedl, Mark A.
N1 - Funding Information:
This work was supported by NASA grants #80NSSC18K0334 and #80NSSC21K1974 and by NSF award #1702627. We gratefully acknowledge the support and excellent work of the HLS team at NASA GSFC who provided the HLS data product, and without whose efforts, this work would not be possible. For use of the PhenoCam data, we thank our many collaborators, including site PIs and technicians, for their efforts in support of PhenoCam. The development of PhenoCam has been funded by the Northeastern States Research Cooperative, NSF’s Macrosystems Biology Program (awards EF-1065029 and EF-1702697), and DOE’s Regional and Global Climate Modelling Program (award DE-SC0016011). We also gratefully acknowledge NASA’s Commercial Smallsat Data Acquisition (CSDA) Program, which provided access to the PlanetScope imagery used in this study. The PlanetScope imagery was provided under contract to Boston University as part of Planet’s Research and Education program. The authors gratefully acknowledge the support provided by this program.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Vegetation phenology is a key control on water, energy, and carbon fluxes in terrestrial ecosystems. Because vegetation canopies are heterogeneous, spatially explicit information related to seasonality in vegetation activity provides valuable information for studies that use eddy covariance measurements to study ecosystem function and land-atmosphere interactions. Here we present a land surface phenology (LSP) dataset derived at 3 m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. The dataset provides spatially explicit information related to the timing of phenophase changes such as the start, peak, and end of vegetation activity, along with vegetation index metrics and associated quality assurance flags for the growing seasons of 2017–2021 for 10 × 10 km windows centred over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. These LSP data can be used to analyse processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes, to evaluate predictions from land surface models, and to assess satellite-based LSP products.
AB - Vegetation phenology is a key control on water, energy, and carbon fluxes in terrestrial ecosystems. Because vegetation canopies are heterogeneous, spatially explicit information related to seasonality in vegetation activity provides valuable information for studies that use eddy covariance measurements to study ecosystem function and land-atmosphere interactions. Here we present a land surface phenology (LSP) dataset derived at 3 m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. The dataset provides spatially explicit information related to the timing of phenophase changes such as the start, peak, and end of vegetation activity, along with vegetation index metrics and associated quality assurance flags for the growing seasons of 2017–2021 for 10 × 10 km windows centred over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. These LSP data can be used to analyse processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes, to evaluate predictions from land surface models, and to assess satellite-based LSP products.
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U2 - 10.1038/s41597-022-01570-5
DO - 10.1038/s41597-022-01570-5
M3 - Article
C2 - 35896546
AN - SCOPUS:85134897318
SN - 2052-4463
VL - 9
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 448
ER -