Literature DB >> 17235537

A comparative study of satellite and ground-based phenology.

S Studer1, R Stöckli, C Appenzeller, P L Vidale.   

Abstract

Long time series of ground-based plant phenology, as well as more than two decades of satellite-derived phenological metrics, are currently available to assess the impacts of climate variability and trends on terrestrial vegetation. Traditional plant phenology provides very accurate information on individual plant species, but with limited spatial coverage. Satellite phenology allows monitoring of terrestrial vegetation on a global scale and provides an integrative view at the landscape level. Linking the strengths of both methodologies has high potential value for climate impact studies. We compared a multispecies index from ground-observed spring phases with two types (maximum slope and threshold approach) of satellite-derived start-of-season (SOS) metrics. We focus on Switzerland from 1982 to 2001 and show that temporal and spatial variability of the multispecies index correspond well with the satellite-derived metrics. All phenological metrics correlate with temperature anomalies as expected. The slope approach proved to deviate strongly from the temporal development of the ground observations as well as from the threshold-defined SOS satellite measure. The slope spring indicator is considered to indicate a different stage in vegetation development and is therefore less suited as a SOS parameter for comparative studies in relation to ground-observed phenology. Satellite-derived metrics are, however, very susceptible to snow cover, and it is suggested that this snow cover should be better accounted for by the use of newer satellite sensors.

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Year:  2007        PMID: 17235537     DOI: 10.1007/s00484-006-0080-5

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  10 in total

1.  An analysis of relationships among plant community phenology and seasonal metrics of Normalized Difference Vegetation Index in the northern part of the monsoon region of China.

Authors:  X Chen; C Xu; Z Tan
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

2.  Phytophenological trends in Switzerland.

Authors:  C Defila; B Clot
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

3.  Spring phenology trends in Alberta, Canada: links to ocean temperature.

Authors:  E G Beaubien; H J Freeland
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

4.  Trends in phenological phases in Europe between 1951 and 1996.

Authors:  A Menzel
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

5.  An examination of the relationship between flowering times and temperature at the national scale using long-term phenological records from the UK.

Authors:  T H Sparks; E P Jeffree; C E Jeffree
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

6.  Plant phenology in western Canada: trends and links to the view from space.

Authors:  Elisabeth G Beaubien; Mryka Hall-Beyer
Journal:  Environ Monit Assess       Date:  2003 Oct-Nov       Impact factor: 2.513

7.  Fingerprints of global warming on wild animals and plants.

Authors:  Terry L Root; Jeff T Price; Kimberly R Hall; Stephen H Schneider; Cynthia Rosenzweig; J Alan Pounds
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

8.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

9.  Phenology in central Europe--differences and trends of spring phenophases in urban and rural areas.

Authors:  T Roetzer; M Wittenzeller; H Haeckel; J Nekovar
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

10.  The phenological calendar of Estonia and its correlation with mean air temperature.

Authors:  R Ahas; J Jaagus; A Aasa
Journal:  Int J Biometeorol       Date:  2000-11       Impact factor: 3.787

  10 in total
  18 in total

1.  Tree leaf out response to temperature: comparing field observations, remote sensing, and a warming experiment.

Authors:  Caroline A Polgar; Richard B Primack; Jeffrey S Dukes; Crystal Schaaf; Zhuosen Wang; Susanne S Hoeppner
Journal:  Int J Biometeorol       Date:  2013-09-01       Impact factor: 3.787

2.  Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol.

Authors:  Gianluca Filippa; Edoardo Cremonese; Marta Galvagno; Mirco Migliavacca; Umberto Morra di Cella; Martina Petey; Consolata Siniscalco
Journal:  Int J Biometeorol       Date:  2015-05-03       Impact factor: 3.787

3.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

4.  Spatio-temporal distribution of the timing of start and end of growing season along vertical and horizontal gradients in Japan.

Authors:  Shin Nagai; Taku M Saitoh; Kenlo Nishida Nasahara; Rikie Suzuki
Journal:  Int J Biometeorol       Date:  2014-04-30       Impact factor: 3.787

5.  Discrepancies in vegetation phenology trends and shift patterns in different climatic zones in middle and eastern Eurasia between 1982 and 2015.

Authors:  Yaobin Li; Yuandong Zhang; Fengxue Gu; Shirong Liu
Journal:  Ecol Evol       Date:  2019-07-12       Impact factor: 2.912

6.  Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment.

Authors:  Christopher W Bater; Nicholas C Coops; Michael A Wulder; Thomas Hilker; Scott E Nielsen; Greg McDermid; Gordon B Stenhouse
Journal:  Environ Monit Assess       Date:  2010-11-18       Impact factor: 2.513

7.  Predicting the timing of ecological phenomena using dates of species occurrence records: a methodological approach and test case with mushrooms.

Authors:  César Capinha
Journal:  Int J Biometeorol       Date:  2019-04-18       Impact factor: 3.787

8.  Alpine Grassland Phenology as Seen in AVHRR, VEGETATION, and MODIS NDVI Time Series - a Comparison with In Situ Measurements.

Authors:  Fabio Fontana; Christian Rixen; Tobias Jonas; Gabriel Aberegg; Stefan Wunderle
Journal:  Sensors (Basel)       Date:  2008-04-23       Impact factor: 3.576

9.  Introducing a sensor to measure budburst and its environmental drivers.

Authors:  George J Kleinknecht; Heather E Lintz; Anton Kruger; James J Niemeier; Michael J Salino-Hugg; Christoph K Thomas; Christopher J Still; Youngil Kim
Journal:  Front Plant Sci       Date:  2015-03-10       Impact factor: 5.753

10.  Migratory herbivorous waterfowl track satellite-derived green wave index.

Authors:  Mitra Shariatinajafabadi; Tiejun Wang; Andrew K Skidmore; Albertus G Toxopeus; Andrea Kölzsch; Bart A Nolet; Klaus-Michael Exo; Larry Griffin; Julia Stahl; David Cabot
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

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