Journal ArticleDOI
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006
Michael A. White,Kirsten M. de Beurs,Kamel Didan,David W. Inouye,Andrew D. Richardson,Olaf P. Jensen,John O'Keefe,G. Zhang,Ramakrishna R. Nemani,Willem J. D. van Leeuwen,Jesslyn F. Brown,Allard de Wit,Michael E. Schaepman,Xioamao Lin,Michael D. Dettinger,Amey S. Bailey,John S. Kimball,Mark D. Schwartz,Dennis D. Baldocchi,J. T. Lee,William K. Lauenroth +20 more
TLDR
In this paper, the authors assess 10 start-of-spring (SOS) methods for North America between 1982 and 2006 and find that SOS estimates were more related to the first leaf and first flowers expanding phenological stages.Abstract:
Shifts in the timing of spring phenology are a central feature of global change research. Long-term observations of plant phenology have been used to track vegetation responses to climate variability but are often limited to particular species and locations and may not represent synoptic patterns. Satellite remote sensing is instead used for continental to global monitoring. Although numerous methods exist to extract phenological timing, in particular start-of-spring (SOS), from time series of reflectance data, a comprehensive intercomparison and interpretation of SOS methods has not been conducted. Here, we assess 10 SOS methods for North America between 1982 and 2006. The techniques include consistent inputs from the 8 km Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer NDVIg dataset, independent data for snow cover, soil thaw, lake ice dynamics, spring streamflow timing, over 16 000 individual measurements of ground-based phenology, and two temperature-driven models of spring phenology. Compared with an ensemble of the 10 SOS methods, we found that individual methods differed in average day-of-year estimates by � 60 days and in standard deviation by � 20 days. The ability of the satellite methods to retrieve SOS estimates was highest in northern latitudes and lowest in arid, tropical, and Mediterranean ecoregions. The ordinal rank of SOS methods varied geographically, as did the relationships between SOS estimates and the cryospheric/hydrologic metrics. Compared with ground observations, SOS estimates were more related to the first leaf and first flowers expanding phenological stages. We found no evidence for time trends in spring arrival from ground- or model-based data; using an ensemble estimate from two methods that were more closely related to ground observations than other methods, SOSread more
Citations
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Journal ArticleDOI
Length of growing season is modulated by Northern Hemisphere jet stream variability
TL;DR: In this paper , the seasonal impacts of the Northern Hemisphere jet stream (NHJ) on vegetation phenophases using novel NHJ indices, designed to characterize latitudinal jet stream position, and satellite-based vegetation phenology products of length, start, and end of season (LOS, SOS, EOS).
Journal ArticleDOI
Estimating forest aboveground biomass using temporal features extracted from multiple satellite data products and ensemble machine learning algorithm
Yuzhen Zhang,Jingjing Liu +1 more
TL;DR: In this paper , the authors investigated whether and how temporal features extracted from multiple satellite-derived data products can improve prediction accuracy, and developed four methods to exploit the temporal features of moderate resolution imaging spectroradiometer (MODIS) data products: the method that uses all annual features (AAF), the method selected essential features based on the Spearman correlation coefficient (SCC) criterion, the method employed the seasonal average and principal component analysis (PCA) components (SAP), and the method including phenological characteristic parameters (PCP) as the predictors of forest AGB.
Journal ArticleDOI
Remote Sensing of Poplar Phenophase and Leaf Miner Attack in Urban Forests
TL;DR: In this paper , a multispectral camera may be used to calibrate satellite images for detecting phenology and disturbances in trees, and the correlation of the changes in a signal of top and lateral imaging proved that the contribution of the whole canopy is reflected in satellite images.
Journal ArticleDOI
Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes
TL;DR: In this article , the authors examined the dynamics of the end of the growing season (EOS) and responses to climate change and urbanization from 1992 to 2015 across the northern middle and high latitudes (north of 30° N).
Journal ArticleDOI
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
TL;DR: In this article , the authors provide a historical overview of EO missions dedicated to crop monitoring, and address the rapidly evolving fields of gap-filling and land surface phenology (LSP) metrics calculation using a new in-house developed toolbox, DATimeS.
References
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Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity
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Journal ArticleDOI
FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
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Journal ArticleDOI
North american regional reanalysis
Fedor Mesinger,Geoff DiMego,Eugenia Kalnay,Kenneth E. Mitchell,Perry Shafran,Wesley Ebisuzaki,Dusan Jovic,John S. Woollen,Eric Rogers,Ernesto Hugo Berbery,Michael Ek,Yun Fan,Robert Grumbine,Wayne Higgins,Hong Li,Ying Lin,Geoff Manikin,David F. Parrish,Wei Shi +18 more
TL;DR: The North American Regional Reanalysis (NARR) project as mentioned in this paper uses the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output) to capture regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability.
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