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Mapping Global Land Surface Phenology with Esa's Proba-V Satellite

https://doi.org/10.2139/ssrn.4803998
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-25047-7_4openalex-extracted
Land Surface Phenology
inferredcites →https://doi.org/10.1007/s00484-019-01690-5openalex-extracted
New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes
inferredcites →https://doi.org/10.1016/j.agrformet.2012.09.012openalex-extracted
Climate change, phenology, and phenological control of vegetation feedbacks to the climate system
inferredcites →https://doi.org/10.1016/j.agrformet.2018.03.003openalex-extracted
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
inferredcites →https://doi.org/10.1016/j.cageo.2004.05.006openalex-extracted
TIMESAT—a program for analyzing time-series of satellite sensor data
inferredcites →https://doi.org/10.1016/j.jag.2019.101974openalex-extracted
Land surface phenology from VEGETATION and PROBA-V data. Assessment over deciduous forests
inferredcites →https://doi.org/10.1016/j.jag.2021.102569openalex-extracted
Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-2
inferredcites →https://doi.org/10.1016/j.rse.2005.03.011openalex-extracted
Determination of phenological dates in boreal regions using normalized difference water index
inferredcites →https://doi.org/10.1016/j.rse.2010.06.005openalex-extracted
Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology
inferredcites →https://doi.org/10.1016/j.rse.2014.07.010openalex-extracted
A physically based vegetation index for improved monitoring of plant phenology
inferredcites →https://doi.org/10.1016/j.rse.2017.06.015openalex-extracted
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.2018.05.015openalex-extracted
Surface albedo and toc-r 300 m products from PROBA-V instrument in the framework of Copernicus Global Land Service
inferredcites →https://doi.org/10.1016/j.rse.2020.111685openalex-extracted
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
inferredcites →https://doi.org/10.1016/j.rse.2021.112456openalex-extracted
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
inferredcites →https://doi.org/10.1016/j.rse.2023.113460openalex-extracted
Global estimates of surface albedo from Sentinel-3 OLCI and SLSTR data for Copernicus Climate Change Service: Algorithm and preliminary validation
inferredcites →https://doi.org/10.1016/j.rse.2023.113967openalex-extracted
Retrieving land surface reflectance anisotropy with Sentinel-3 observations and prior BRDF model constraints
inferredcites →https://doi.org/10.1016/j.still.2022.105374openalex-extracted
Mapping crop residue cover using Adjust Normalized Difference Residue Index based on Sentinel-2 MSI data
inferredcites →https://doi.org/10.1016/s0034-4257(02)00091-3openalex-extracted
First operational BRDF, albedo nadir reflectance products from MODIS
inferredcites →https://doi.org/10.1029/2000jd900639openalex-extracted
A priori knowledge accumulation and its application to linear BRDF model inversion
inferredcites →https://doi.org/10.1029/2005gl025583openalex-extracted
Amazon rainforests green‐up with sunlight in dry season
inferredcites →https://doi.org/10.1029/2006jg000217openalex-extracted
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements
inferredcites →https://doi.org/10.1029/2018jg004988openalex-extracted
Effects of Light Component and Water Stress on Photosynthesis of Amazon Rainforests During the 2015/2016 El Niño Drought
inferredcites →https://doi.org/10.1029/92jd01411openalex-extracted
A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data
inferredcites →https://doi.org/10.1038/nature13006openalex-extracted
Amazon forests maintain consistent canopy structure and greenness during the dry season
inferredcites →https://doi.org/10.1038/nclimate2253openalex-extracted
Net carbon uptake has increased through warming-induced changes in temperate forest phenology
inferredcites →https://doi.org/10.1038/s41467-022-28490-7openalex-extracted
Forest fragmentation impacts the seasonality of Amazonian evergreen canopies
inferredcites →https://doi.org/10.1038/s41559-023-02187-6openalex-extracted
Structural complexity biases vegetation greenness measures
inferredcites →https://doi.org/10.1038/s43247-023-00960-wopenalex-extracted
Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes
inferredcites →https://doi.org/10.1073/pnas.2026347118openalex-extracted
Earth history events shaped the evolution of uneven biodiversity across tropical moist forests
inferredcites →https://doi.org/10.1080/01431161.2014.883097openalex-extracted
PROBA-V mission for global vegetation monitoring: standard products and image quality
inferredcites →https://doi.org/10.1088/1748-9326/6/4/045508openalex-extracted
Recent changes in phenology over the northern high latitudes detected from multi-satellite data
inferredcites →https://doi.org/10.1109/multi-temp.2019.8866889openalex-extracted
Toward a long-term consistent data record of Aerosol and Surface Reflectance from SPOT-VGT and PROBA-V missions
inferredcites →https://doi.org/10.1109/tgrs.2009.2038901openalex-extracted
Temporal Constraints on Linear BRDF Model Parameters
inferredcites →https://doi.org/10.1111/gcb.14619openalex-extracted
Plant phenology and global climate change: Current progresses and challenges
inferredcites →https://doi.org/10.1111/gcb.16436openalex-extracted
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.12210openalex-extracted
Recent spring phenology shifts in western C entral E urope based on multiscale observations
inferredcites →https://doi.org/10.3390/rs10040635openalex-extracted
A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data
inferredcites →https://doi.org/10.3390/rs9121271openalex-extracted
Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data
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