The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations

P. S.A. Beck; S. R. Karlsen; A. Skidmore; L. Nilsen; K. A. Høgda

The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations

P. S.A. Beck^*, S. R. Karlsen, A. Skidmore, L. Nilsen, K. A. Høgda

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

2 Citations (Scopus)

Abstract

Using Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, we mapped the onset of spring in the years 2000-2004 in Fennoscandia. First, NDVI maximum value composite (MVC) time series were filtered and smoothed to remove noise. Next, pixel specific NDVI thresholds were calibrated using field observations of budburst in Betula pubescens Ehrh. (n = 81). This method achieves modest agreement between the predicted and observed dates (RMSE = 13 days). The resulting maps show that the arrival of spring varies by more than two months within the study area and by more than a month between years. We illustrate how MODIS NDVI images track phenological patterns in great detail and can be used to monitor the effects of ongoing climate change.

Original language	English
Title of host publication	31st International Symposium on Remote Sensing of Environment, ISRSE 2005
Subtitle of host publication	Global Monitoring for Sustainability and Security : proceedings
Number of pages	4
Publication status	Published - 2005
Externally published	Yes
Event	31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security - St. Petersburg, Russian Federation Duration: 20 Jun 2005 → 24 Jun 2005

Conference

Conference	31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security
Country/Territory	Russian Federation
City	St. Petersburg
Period	20/06/05 → 24/06/05

Keywords

downy birch
fennoscandia
maximum value composites
MODIS
phenology

Cite this

@inproceedings{f2f5fce95782465b9e9b4b05ec635f2e,

title = "The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations",

abstract = "Using Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, we mapped the onset of spring in the years 2000-2004 in Fennoscandia. First, NDVI maximum value composite (MVC) time series were filtered and smoothed to remove noise. Next, pixel specific NDVI thresholds were calibrated using field observations of budburst in Betula pubescens Ehrh. (n = 81). This method achieves modest agreement between the predicted and observed dates (RMSE = 13 days). The resulting maps show that the arrival of spring varies by more than two months within the study area and by more than a month between years. We illustrate how MODIS NDVI images track phenological patterns in great detail and can be used to monitor the effects of ongoing climate change.",

keywords = "downy birch, fennoscandia, maximum value composites, MODIS, phenology",

author = "Beck, {P. S.A.} and Karlsen, {S. R.} and A. Skidmore and L. Nilsen and H{\o}gda, {K. A.}",

year = "2005",

language = "English",

booktitle = "31st International Symposium on Remote Sensing of Environment, ISRSE 2005",

note = "31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security ; Conference date: 20-06-2005 Through 24-06-2005",

}

Beck, PSA, Karlsen, SR, Skidmore, A, Nilsen, L & Høgda, KA 2005, The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations. in 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security : proceedings. 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security, St. Petersburg, Russian Federation, 20/06/05.

The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations. / Beck, P. S.A.; Karlsen, S. R.; Skidmore, A. et al.

31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security : proceedings. 2005.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations

AU - Beck, P. S.A.

AU - Karlsen, S. R.

AU - Skidmore, A.

AU - Nilsen, L.

AU - Høgda, K. A.

PY - 2005

Y1 - 2005

N2 - Using Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, we mapped the onset of spring in the years 2000-2004 in Fennoscandia. First, NDVI maximum value composite (MVC) time series were filtered and smoothed to remove noise. Next, pixel specific NDVI thresholds were calibrated using field observations of budburst in Betula pubescens Ehrh. (n = 81). This method achieves modest agreement between the predicted and observed dates (RMSE = 13 days). The resulting maps show that the arrival of spring varies by more than two months within the study area and by more than a month between years. We illustrate how MODIS NDVI images track phenological patterns in great detail and can be used to monitor the effects of ongoing climate change.

AB - Using Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data, we mapped the onset of spring in the years 2000-2004 in Fennoscandia. First, NDVI maximum value composite (MVC) time series were filtered and smoothed to remove noise. Next, pixel specific NDVI thresholds were calibrated using field observations of budburst in Betula pubescens Ehrh. (n = 81). This method achieves modest agreement between the predicted and observed dates (RMSE = 13 days). The resulting maps show that the arrival of spring varies by more than two months within the study area and by more than a month between years. We illustrate how MODIS NDVI images track phenological patterns in great detail and can be used to monitor the effects of ongoing climate change.

KW - downy birch

KW - fennoscandia

KW - maximum value composites

KW - MODIS

KW - phenology

UR - http://www.scopus.com/inward/record.url?scp=84879712900&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:84879712900

BT - 31st International Symposium on Remote Sensing of Environment, ISRSE 2005

T2 - 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security

Y2 - 20 June 2005 through 24 June 2005

ER -

The onset of the growing season in northwestern Europe, mapped using MODIS NDVI and calibrated using phenological ground observations

Abstract

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Keywords

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