MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest — A comparison with CO2 flux measurements and phenological observations in Finland

Böttcher, Kristin; Aurela, Mika; Kervinen, Mikko; Markkanen, Tiina; Mattila, Olli-Pekka; Kolari, Pasi; Metsämäki, Sari; Aalto, Tuula; Arslan, Ali; Pulliainen, Jouni

doi:10.1016/j.rse.2013.09.022

Cited by 43 publications

(43 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In accordance with previous studies [10,44], the single pixel centered on the tower was assessed to be representative of the tower footprint.…”

Section: Flux Tower Datamentioning

confidence: 99%

“…Chen et al [59] Ekhlund and Jönsson [51] Balzarolo et al [9] Böttcher et al [10] Remote Sens. 2017, 9, 49 7 of 21…”

Section: Time Series Processingmentioning

confidence: 99%

“…Few studies have found that MODIS VIs provide good estimates of phenology at a single site in evergreen conifer forests. Böttcher et al [10] found significant correlations between NDVI derived from daily MODIS reflectances and CO 2 fluxes, however, Balzarolo et al [9] and Liu et al [62] concluded that the inter-annual variations in the timings of the seasonal transitions in evergreen forest ecosystems were too low relative to the error in the MODIS NDVI time series to accurately predict phenological parameters. The noise introduced by varying viewing and illumination conditions, atmospheric conditions and snow cover becomes too significant to detect the phenological variations.…”

Section: Performances Of Maiac Vis and Ndvi Prodmentioning

confidence: 99%

“…Long-term studies using VI time series have revealed widespread greening occurring in various regions and ecosystems [6][7][8]. Ongoing efforts are being made to establish the accuracy with which satellite imagery can be used to predict timings of seasonal transitions by validating the estimates with ground-based observations [7,[9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

et al. 2017

View full text Add to dashboard Cite

Long-term observations of vegetation phenology can be used to monitor the response of terrestrial ecosystems to climate change. Satellite remote sensing provides the most efficient means to observe phenological events through time series analysis of vegetation indices such as the Normalized Difference Vegetation Index (NDVI). This study investigates the potential of a Photochemical Reflectance Index (PRI), which has been linked to vegetation light use efficiency, to improve the accuracy of MODIS-based estimates of phenology in an evergreen conifer forest. Timings of the start and end of the growing season (SGS and EGS) were derived from a 13-year-long time series of PRI and NDVI based on a MAIAC (multi-angle implementation of atmospheric correction) processed MODIS dataset and standard MODIS NDVI product data. The derived dates were validated with phenology estimates from ground-based flux tower measurements of ecosystem productivity. Significant correlations were found between the MAIAC time series and ground-estimated SGS (R 2 = 0.36-0.8), which is remarkable since previous studies have found it difficult to observe inter-annual phenological variations in evergreen vegetation from satellite data. The considerably noisier NDVI product could not accurately predict SGS, and EGS could not be derived successfully from any of the time series. While the strongest relationship overall was found between SGS derived from the ground data and PRI, MAIAC NDVI exhibited high correlations with SGS more consistently (R 2 > 0.6 in all cases). The results suggest that PRI can serve as an effective indicator of spring seasonal transitions, however, additional work is necessary to confirm the relationships observed and to further explore the usefulness of MODIS PRI for detecting phenology.

show abstract

“…In accordance with previous studies [10,44], the single pixel centered on the tower was assessed to be representative of the tower footprint.…”

Section: Flux Tower Datamentioning

confidence: 99%

“…Chen et al [59] Ekhlund and Jönsson [51] Balzarolo et al [9] Böttcher et al [10] Remote Sens. 2017, 9, 49 7 of 21…”

Section: Time Series Processingmentioning

confidence: 99%

Section: Performances Of Maiac Vis and Ndvi Prodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

et al. 2017

View full text Add to dashboard Cite

show abstract

“…ENF_SOS EC was obtained as the day on which the CO 2 uptake permanently exceeds 15% of the growing season maximum uptake level. The method has been described in more detail in a previous study by Böttcher et al [33].…”

Section: Carbon Dioxide Flux Measurementsmentioning

confidence: 99%

Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations

et al. 2016

Self Cite

View full text Add to dashboard Cite

Abstract:The objective of this study was to assess the performance of the simulated start of the photosynthetically active season by a large-scale biosphere model in boreal forests in Finland with remote sensing observations. The start of season for two forest types, evergreen needle-and deciduous broad-leaf, was obtained for the period 2003-2011 from regional JSBACH (Jena Scheme for Biosphere-Atmosphere Hamburg) runs, driven with climate variables from a regional climate model. The satellite-derived start of season was determined from daily Moderate Resolution Imaging Spectrometer (MODIS) time series of Fractional Snow Cover and the Normalized Difference Water Index by applying methods that were targeted to the two forest types. The accuracy of the satellite-derived start of season in deciduous forest was assessed with bud break observations of birch and a root mean square error of seven days was obtained. The evaluation of JSBACH modelled start of season dates with satellite observations revealed high spatial correspondence. The bias was less than five days for both forest types but showed regional differences that need further consideration. The agreement with satellite observations was slightly better for the evergreen than for the deciduous forest. Nonetheless, comparison with gross primary production (GPP) determined from CO 2 flux measurements at two eddy covariance sites in evergreen forest revealed that the JSBACH-simulated GPP was higher in early spring and led to too-early simulated start of season dates. Photosynthetic activity recovers differently in evergreen and deciduous forests. While for the deciduous forest calibration of phenology alone could improve the performance of JSBACH, for the evergreen forest, changes such as seasonality of temperature response, would need to be introduced to the photosynthetic capacity to improve the temporal development of gross primary production.

show abstract

New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes

et al. 2019

View full text Add to dashboard Cite

Recent climate warming has altered plant phenology at northern European latitudes, but conclusions regarding the spatial patterns of phenological change and relationships with climate are still challenging as quantitative estimates are strongly diverging. To generate consistent estimates of broad-scale spatially continuous spring plant phenology at northern European latitudes (> 50°N) from 2000 to 2016, we used a novel vegetation index, the plant phenology index (PPI), derived from MODerate-resolution Imaging Spectroradiometer (MODIS) data. To obtain realistic and strong estimates, the phenology trends and their relationships with temperature and precipitation over the past 17 years were analyzed using a panel data method. We found that in the studied region the start of the growing season (SOS) has on average advanced by 0.30 day year −1. The SOS showed an overall advancement rate of 2.47 day°C −1 to spring warming, and 0.18 day cm −1 to decreasing precipitation in spring. The previous winter and summer temperature had important effects on the SOS but were spatially heterogeneous. Overall, the onset of SOS was delayed 0.66 day°C −1 by winter warming and 0.56 day°C −1 by preceding summer warming. The precipitation in winter and summer influenced the SOS in a relatively weak and complex manner. The findings indicate rapid recent phenological changes driven by combined seasonal climates in northern Europe. Previously unknown spatial patterns of phenological change and relationships with climate drivers are presented that improve our capacity to understand and foresee future climate effects on vegetation.

show abstract

MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest — A comparison with CO2 flux measurements and phenological observations in Finland

Cited by 43 publications

References 59 publications

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations

New satellite-based estimates show significant trends in spring phenology and complex sensitivities to temperature and precipitation at northern European latitudes

Contact Info

Product

Resources

About