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Remote Sens. 2018, 10(11), 1784; https://doi.org/10.3390/rs10111784

Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions

1
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
2
Joint Center for Global Change and China Green Development, Beijing Normal University, Beijing 100875, China
3
Department of Forest Ecology & Management, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden
4
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
*
Authors to whom correspondence should be addressed.
Received: 4 September 2018 / Revised: 5 November 2018 / Accepted: 5 November 2018 / Published: 10 November 2018
(This article belongs to the Special Issue Land Surface Phenology)
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Abstract

Recent efforts have been made to monitor the seasonal metrics of plant canopy variations globally from space, using optical remote sensing. However, phenological estimations based on vegetation indices (VIs) in high-latitude regions such as the pan-Arctic remain challenging and are rarely validated. Nevertheless, pan-Arctic ecosystems are vulnerable and also crucial in the context of climate change. We reported the limitations and challenges of using MODerate-resolution Imaging Spectroradiometer (MODIS) measurements, a widely exploited set of satellite measurements, to estimate phenological transition dates in pan-Arctic regions. Four indices including normalized vegetation difference index (NDVI), enhanced vegetation index (EVI), phenology index (PI), plant phenological index (PPI) and a MODIS Land Cover Dynamics Product MCD12Q2, were evaluated and compared against eddy covariance (EC) estimates at 11 flux sites of 102 site-years during the period from 2000 to 2014. All the indices were influenced by snow cover and soil moisture during the transition dates. While relationships existed between VI-based and EC-estimated phenological transition dates, the R2 values were generally low (0.01–0.68). Among the VIs, PPI-estimated metrics showed an inter-annual pattern that was mostly closely related to the EC-based estimations. Thus, further studies are needed to develop region-specific indices to provide more reliable estimates of phenological transition dates. View Full-Text
Keywords: land surface phenology; remote sensing; pan-Arctic; vegetation index; solar-induced fluorescence land surface phenology; remote sensing; pan-Arctic; vegetation index; solar-induced fluorescence
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Wang, S.; Lu, X.; Cheng, X.; Li, X.; Peichl, M.; Mammarella, I. Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions. Remote Sens. 2018, 10, 1784.

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