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Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Progress in plant phenology modeling under global climate change
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inferredcites →https://doi.org/10.1016/j.eswa.2006.02.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.foreco.2020.118663openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.iac.2020.09.002openalex-snapshot
Global Climate Change and Pollen Aeroallergens
inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.05.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.09.002openalex-snapshot
Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States
inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.01.012openalex-snapshot
Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.11.019openalex-snapshot
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
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Land surface phenology retrievals for arid and semi-arid ecosystems
inferredcites →https://doi.org/10.1016/j.jag.2016.09.005openalex-snapshot
Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves
inferredcites →https://doi.org/10.1016/j.jag.2020.102291openalex-snapshot
Trail camera networks provide insights into satellite-derived phenology for ecological studies
inferredcites →https://doi.org/10.1016/j.jag.2021.102323openalex-snapshot
Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape
inferredcites →https://doi.org/10.1016/j.plantsci.2018.10.022openalex-snapshot
A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
inferredcites →https://doi.org/10.1016/j.rse.2004.03.014openalex-snapshot
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
inferredcites →https://doi.org/10.1016/j.rse.2007.08.011openalex-snapshot
The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally
inferredcites →https://doi.org/10.1016/j.rse.2012.04.001openalex-snapshot
Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
inferredcites →https://doi.org/10.1016/j.rse.2013.01.011openalex-snapshot
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
inferredcites →https://doi.org/10.1016/j.rse.2013.11.020openalex-snapshot
Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type
inferredcites →https://doi.org/10.1016/j.rse.2016.01.021openalex-snapshot
Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America
inferredcites →https://doi.org/10.1016/j.rse.2017.01.001openalex-snapshot
Exploration of scaling effects on coarse resolution land surface phenology
inferredcites →https://doi.org/10.1016/j.rse.2017.06.015openalex-snapshot
Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index
inferredcites →https://doi.org/10.1016/j.rse.2018.04.030openalex-snapshot
The mixed pixel effect in land surface phenology: A simulation study
inferredcites →https://doi.org/10.1016/j.rse.2018.09.002openalex-snapshot
The Harmonized Landsat and Sentinel-2 surface reflectance data set
inferredcites →https://doi.org/10.1016/j.rse.2018.12.036openalex-snapshot
Characterizing the relationship between satellite phenology and pollen season: A case study of birch
inferredcites →https://doi.org/10.1016/j.rse.2019.111511openalex-snapshot
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
inferredcites →https://doi.org/10.1016/j.rse.2020.112013openalex-snapshot
Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States
inferredcites →https://doi.org/10.1016/j.rse.2020.112197openalex-snapshot
Satellite prediction of forest flowering phenology
inferredcites →https://doi.org/10.1016/j.rse.2021.112456openalex-snapshot
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
inferredcites →https://doi.org/10.1016/j.rse.2021.112716openalex-snapshot
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.04.001openalex-snapshot
Trans-disciplinary research in synthesis of grass pollen aerobiology and its importance for respiratory health in Australasia
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.08.074openalex-snapshot
Effect of land uses and wind direction on the contribution of local sources to airborne pollen
inferredcites →https://doi.org/10.1016/j.scitotenv.2016.11.004openalex-snapshot
Mapping the birch and grass pollen seasons in the UK using satellite sensor time-series
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.04.136openalex-snapshot
Mapping allergenic pollen vegetation in UK to study environmental exposure and human health
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.03.191openalex-snapshot
Dynamic ecological observations from satellites inform aerobiology of allergenic grass pollen
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.01.394openalex-snapshot
Contrasting wheat phenological responses to climate change in global scale
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.06.348openalex-snapshot
Detecting distant sources of airborne pollen for Poland: Integrating back-trajectory and dispersion modelling with a satellite-based phenology
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.137351openalex-snapshot
Using crowd-sourced allergic rhinitis symptom data to improve grass pollen forecasts and predict individual symptoms
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.141189openalex-snapshot
Tracking seasonal changes in diversity of pollen allergen exposure: Targeted metabarcoding of a subtropical aerobiome
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.147806openalex-snapshot
Enhanced spatiotemporal heterogeneity and the climatic and biotic controls of autumn phenology in northern grasslands
inferredcites →https://doi.org/10.1016/j.tree.2007.04.003openalex-snapshot
Shifting plant phenology in response to global change
inferredcites →https://doi.org/10.1016/s0034-4257(02)00091-3openalex-snapshot
First operational BRDF, albedo nadir reflectance products from MODIS
inferredcites →https://doi.org/10.1016/s0034-4257(02)00135-9openalex-snapshot
Monitoring vegetation phenology using MODIS
inferredcites →https://doi.org/10.1029/2006gb002888openalex-snapshot
Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades
inferredcites →https://doi.org/10.1029/2008gb003233openalex-snapshot
Temporal and among‐site variability of inherent water use efficiency at the ecosystem level
inferredcites →https://doi.org/10.1029/2020jg006005openalex-snapshot
How Nitrogen and Phosphorus Availability Change Water Use Efficiency in a Mediterranean Savanna Ecosystem
inferredcites →https://doi.org/10.1038/nature12291openalex-snapshot
Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise
inferredcites →https://doi.org/10.1038/nature13006openalex-snapshot
Amazon forests maintain consistent canopy structure and greenness during the dry season
inferredcites →https://doi.org/10.1038/nature13207openalex-snapshot
Elevated CO2 further lengthens growing season under warming conditions
inferredcites →https://doi.org/10.1038/nature13957openalex-snapshot
Direct human influence on atmospheric CO2 seasonality from increased cropland productivity
inferredcites →https://doi.org/10.1038/nclimate1573openalex-snapshot
Soil-mediated effects of subambient to increased carbon dioxide on grassland productivity
inferredcites →https://doi.org/10.1038/nclimate2253openalex-snapshot
Net carbon uptake has increased through warming-induced changes in temperate forest phenology
inferredcites →https://doi.org/10.1038/nclimate3088openalex-snapshot
Key ecological responses to nitrogen are altered by climate change
inferredcites →https://doi.org/10.1038/ncomms7911openalex-snapshot
Leaf onset in the northern hemisphere triggered by daytime temperature
inferredcites →https://doi.org/10.1038/ngeo844openalex-snapshot
Reduction of forest soil respiration in response to nitrogen deposition
inferredcites →https://doi.org/10.1038/s41467-021-26876-7openalex-snapshot
Carbon response of tundra ecosystems to advancing greenup and snowmelt in Alaska
inferredcites →https://doi.org/10.1038/s41558-022-01283-yopenalex-snapshot
The great acceleration of plant phenological shifts
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Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures
inferredcites →https://doi.org/10.1038/s41597-019-0229-9openalex-snapshot
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
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A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites
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Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
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Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
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How is water-use efficiency of terrestrial ecosystems distributed and changing on Earth?
inferredcites →https://doi.org/10.1038/srep26901openalex-snapshot
Exogenous N addition enhances the responses of gross primary productivity to individual precipitation events in a temperate grassland
inferredcites →https://doi.org/10.1073/pnas.1519620113openalex-snapshot
Warm spring reduced carbon cycle impact of the 2012 US summer drought
inferredcites →https://doi.org/10.1073/pnas.2121998119openalex-snapshot
Exploring global changes in agricultural ammonia emissions and their contribution to nitrogen deposition since 1980
inferredcites →https://doi.org/10.1080/01431160802549237openalex-snapshot
Sensitivity of vegetation phenology detection to the temporal resolution of satellite data
inferredcites →https://doi.org/10.1080/03632415.2013.748551openalex-snapshot
The National Ecological Observatory Network: An Observatory Poised to Expand Spatiotemporal Scales of Inquiry in Aquatic and Fisheries Science
inferredcites →https://doi.org/10.1080/17474230701786109openalex-snapshot
War, drought, and phenology: changes in the land surface phenology of Afghanistan since 1982
inferredcites →https://doi.org/10.1088/1748-9326/8/2/024027openalex-snapshot
Earlier springs decrease peak summer productivity in North American boreal forests
inferredcites →https://doi.org/10.1088/1748-9326/9/5/054006openalex-snapshot
A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change
inferredcites →https://doi.org/10.1088/1748-9326/aba57fopenalex-snapshot
Satellite-observed decrease in the sensitivity of spring phenology to climate change under high nitrogen deposition
inferredcites →https://doi.org/10.1088/1748-9326/abb32fopenalex-snapshot
Understanding the role of phenology and summer physiology in controlling net ecosystem production: a multiscale comparison of satellite, PhenoCam and eddy covariance data
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Responses of deciduous forest trees to severe drought in Central Europe
inferredcites →https://doi.org/10.1093/treephys/26.7.889openalex-snapshot
Climate warming and the risk of frost damage to boreal forest trees: identification of critical ecophysiological traits
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Nutrient availability alters the correlation between spring leaf-out and autumn leaf senescence dates
inferredcites →https://doi.org/10.1098/rstb.2010.0028openalex-snapshot
A global comparison of grassland biomass responses to CO 2 and nitrogen enrichment
inferredcites →https://doi.org/10.1098/rstb.2010.0102openalex-snapshot
Influence of spring and autumn phenological transitions on forest ecosystem productivity
inferredcites →https://doi.org/10.1098/rstb.2010.0142openalex-snapshot
Why does phenology drive species distribution?
inferredcites →https://doi.org/10.1109/access.2020.2965462openalex-snapshot
Leveraging Artificial Intelligence for Large-Scale Plant Phenology Studies From Noisy Time-Lapse Images
inferredcites →https://doi.org/10.1109/igarss.2019.8898796openalex-snapshot
Forecasting Pollen Aerobiology with Modis EVI, Land Cover, and Phenology Using Machine Learning Tools
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Mapping Asian Cropping Intensity With MODIS
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Optimal Color Composition Method for Generating High-Quality Daily Photographic Time Series From PhenoCam
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Impacts of Satellite Revisit Frequency on Spring Phenology Monitoring of Deciduous Broad-Leaved Forests Based on Vegetation Index Time Series
inferredcites →https://doi.org/10.1111/2041-210x.12970openalex-snapshot
An integrated phenology modelling framework in r
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Increased heat requirement for leaf flushing in temperate woody species over 1980–2012: effects of chilling, precipitation and insolation
inferredcites →https://doi.org/10.1111/gcb.12890openalex-snapshot
The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models
inferredcites →https://doi.org/10.1111/gcb.13311openalex-snapshot
Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology
inferredcites →https://doi.org/10.1111/gcb.13562openalex-snapshot
Response of vegetation phenology to urbanization in the conterminous United States
inferredcites →https://doi.org/10.1111/gcb.14619openalex-snapshot
Plant phenology and global climate change: Current progresses and challenges
inferredcites →https://doi.org/10.1111/gcb.15098openalex-snapshot
Interactive climate factors restrict future increases in spring productivity of temperate and boreal trees
inferredcites →https://doi.org/10.1111/gcb.15138openalex-snapshot
Nutrients and water availability constrain the seasonality of vegetation activity in a Mediterranean ecosystem
inferredcites →https://doi.org/10.1111/gcb.16104openalex-snapshot
No evidence for a negative effect of growing season photosynthesis on leaf senescence timing
inferredcites →https://doi.org/10.1111/gcb.16436openalex-snapshot
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
inferredcites →https://doi.org/10.1111/geb.12044openalex-snapshot
Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn
inferredcites →https://doi.org/10.1111/geb.12210openalex-snapshot
Recent spring phenology shifts in western C entral E urope based on multiscale observations
inferredcites →https://doi.org/10.1111/geb.13583openalex-snapshot
Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes
inferredcites →https://doi.org/10.1111/j.1365-2486.2007.01432.xopenalex-snapshot
Photosynthesis drives anomalies in net carbon‐exchange of pine forests at different latitudes
inferredcites →https://doi.org/10.1111/j.1365-2486.2011.02562.xopenalex-snapshot
Terrestrial biosphere models need better representation of vegetation phenology: results from the N orth A merican C arbon P rogram S ite S ynthesis
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What have we learned from 15 years of free‐air CO 2 enrichment (FACE)? A meta‐analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO 2
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