A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites

Moon, Minkyu; Richardson, Andrew D.; Milliman, Thomas; Friedl, Mark A.

doi:10.1038/s41597-022-01570-5

Title: A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites

Journal Article · Wed Jul 27 00:00:00 EDT 2022 · Scientific Data

DOI:https://doi.org/10.1038/s41597-022-01570-5· OSTI ID:1879137

; Richardson, Andrew D.;

;

Abstract 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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Research Organization:: Princeton Univ., NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)

Grant/Contract Number:: SC0016011; 80NSSC18K0334; 80NSSC21K1974; 1702627; EF-1065029; EF-1702697

OSTI ID:: 1879137

Alternate ID(s):: OSTI ID: 1904429

Journal Information:: Scientific Data, Journal Name: Scientific Data Vol. 9 Journal Issue: 1; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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