Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI

Beck, Pieter S. A.; Atzberger, Clement; Høgda, Kjell Arild; Johansen, Bernt; Skidmore, Andrew K.

doi:10.1016/j.rse.2005.10.021

Cited by 776 publications

(480 citation statements)

References 68 publications

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“…NDVI can estimate the vegetation vigour (Ji and Peters, 2003) and crop phenology (Beck et al, 2006).…”

Section: Crop Production and Vegetation Datamentioning

confidence: 99%

Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Rosso

Hochrainer‐Stigler

Pflug

et al. 2018

Preprint

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Abstract. Implementation of agriculturally related early warning systems is fundamental for the management of droughts.Additionally, risk-based approaches are superior in tackling future drought hazards. Due to data-scarcity in many regions, high resolution satellite imagery data are becoming widely used. Focusing on ENSO warm and cold phases, we employ a risk-based 15 approach for drought assessment in the Bolivian Altiplano using satellite imagery data and application of an early warning system. We use a newly established high resolution satellite dataset and test its accuracy as well as performance to similar (but with less resolution) datasets available for the Bolivian Altiplano. It is shown that during the El Niño years (warm ENSO phase), the result is great difference in risk and crop yield. Furthermore, the Normalized Difference Vegetation Index (NDVI) can be used to target specific hot spots on a very local scale. As a consequence, ENSO early warning forecasts as well as 20 possible magnitudes of crop deficits could be established by the government, including an identification of possible hotspots during the growing season. Our approach therefore should not only help in determining the magnitude of assistance needed for farmers on the local scale but also enable a pro-active approach to disaster risk management against droughts that can include economic-related instruments such as insurance as well as risk reduction instruments such as irrigation.

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“…NDVI can estimate the vegetation vigour (Ji and Peters, 2003) and crop phenology (Beck et al, 2006).…”

Section: Crop Production and Vegetation Datamentioning

confidence: 99%

Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Rosso

Hochrainer‐Stigler

Pflug

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…It has then been applied to investigate seasonal vegetation growth using webcam data (Richardson et al, 2006;Kovalskyy et al, 2012), Landsat TM data (e.g., Fisher et al, 2006;Kovalskyy et al, 2011), AVHRR data (e.g., Zhang et al, 2007), and MODIS data (e.g., Zhang et al, 2003Zhang et al, , 2006Ahl et al, 2006;Liang et al, 2011). Moreover, studies have shown that the sigmoidal model performance is superior to both Fourier functions and asymmetric Gaussian functions for dictping remotely sensed phenology (Beck et al, 2006). Thus, the physically-based sigmoidal model is applicable for the detection of global vegetation phenology.…”

Section: Detection Of Global Vegetation Phenologymentioning

confidence: 99%

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments

Zhang¹,

Friedl²,

Tan³

et al. 2012

Phenology and Climate Change

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“…In order to minimize the overall noise in the NDVI time series, a Savitzky-Golay filter was applied to each annual NDVI cycle. In the next step, double logistic functionfitting, suitable for modeling the yearly NDVI time series of boreal and arcticalpine vegetation, was applied to maintain the integrity of the time series data (Beck et al, 2006;Jonsson et al, 2010).…”

Section: Modis Ndvi Datamentioning

confidence: 99%

“…To reduce the effect of snow in high latitudes, the winter NDVI (i.e. the NDVI of any snow-affected pixel during the winter season from October until February) was therefore estimated using a method proposed by Beck et al (2006).…”

Section: Modis Ndvi Datamentioning

confidence: 99%

“…Satellite NDVI time-series data has also been widely adopted as a proxy for plant phenology in ecological studies (Beck et al, 2006;Tombre et al, 2008;White et al, 1997;Zhang et al, 2003). The plant phenology itself has been recognized as a good proxy for plant quality, as young plants are generally of high nutritional value, with low levels of secondary plant chemicals (Demment & Van Soest, 1985).…”

Section: Introductionmentioning

confidence: 99%

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Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI

Cited by 776 publications

References 68 publications

Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments

Migration timing and stopover selection for barnacle geese Branta leucopsis

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