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

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Wang , S , Lu , X , Cheng , X , Li , X , Peichl , M & Mammarella , I 2018 , ' Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions ' , Remote Sensing , vol. 10 , no. 11 , 1784 . https://doi.org/10.3390/rs10111784

Title: Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions
Author: Wang, Siyu; Lu, Xinchen; Cheng, Xiao; Li, Xianglan; Peichl, Matthias; Mammarella, Ivan
Contributor: University of Helsinki, INAR Physics
Date: 2018-11
Language: eng
Number of pages: 21
Belongs to series: Remote Sensing
ISSN: 2072-4292
URI: http://hdl.handle.net/10138/278423
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 R-2 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.
Subject: land surface phenology
remote sensing
pan-Arctic
vegetation index
solar-induced fluorescence
LAND-SURFACE PHENOLOGY
INDUCED CHLOROPHYLL FLUORESCENCE
DECIDUOUS BROADLEAF FOREST
SUN-INDUCED FLUORESCENCE
NDVI TIME-SERIES
VEGETATION INDEX
GROWING-SEASON
CANOPY PHOTOSYNTHESIS
SPRING PHENOLOGY
SNOW-COVER
1172 Environmental sciences
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