ArticleScientific data2022
A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Cooling outweighs warming across phenological transitions in the Northern Hemisphere.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An Enhanced Phenology Dataset for Global Drylands from 2001 to 2019.Scientific data · 2025Article
- Proximal remote sensing: an essential tool for bridging the gap between high-resolution ecosystem monitoring and global ecology.The New phytologist · 2025Review
- Tracking effects of extreme drought on coniferous forests from space using dynamic habitat indices.Heliyon · 2024Article
- HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data.Scientific data · 2023Article
- Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications.Global change biology · 2022Review
- Towards an Automated Approach for Monitoring Tree Phenology Using Vehicle Dashcams in Urban Environments.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.