Deduction of a meteorological phenology indicator from reconstructed MODIS LST imagery
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ORIGINAL PAPER
Deduction of a meteorological phenology indicator from reconstructed MODIS LST imagery Chi Hong Lim1,2 • Song Hie Jung1,2 • Nam Shin Kim2 • Chang Seok Lee3
Received: 26 October 2018 / Accepted: 7 May 2019 Ó Northeast Forestry University 2019
Abstract Phenology is a valuable attribute of vegetation to assess the biological impacts from climate change. A challenge of phenological research is to obtain information on both high temporal resolution and fine spatial scale observations. Here, we constructed an air temperature map based on temporal merging and spatial interpolation algorithms to overcome the cloud-related problem from the MODIS LST product. Then, we derived the accumulated growing degree days (AGDD) from the constructed mean air temperature map to use as a meteorological indicator. Further, we verified the indicator with the seasonal mean air temperature and the green-up date of a Quercus mongolica forest determined from the field-based measurements. The AGDD threshold for each Q. mongolica forest when the first leaf has unfolded was detected from the EXG
trajectory extracted from digital camera images. A comparison between meteorological and MODIS-derived AGDD showed good agreement between them. There was also high consistency between DoYs extracted from AGDD and EVI based on curvature K for Q. mongolica forests of 30 sampling sites throughout South Korea. The results prove that microclimatic factors such as elevation, waterbody, and land-use intensity were faithfully reflected in the reconstructed images. Therefore, the results of this study could be applied effectively in areas where microclimatic variation is very severe and for monitoring phenology of undergrowth, which is difficult to detect from reflectance imaging. Keywords Climate change Digital camera Growing degree days MODIS Phenology Quercus mongolica
Project funding: This work was supported by a research grant from Seoul Women’s University (2019).
Introduction The online version is available at http://www.springerlink.com Corresponding editor: Zhu Hong.
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11676-019-01015-7) contains supplementary material, which is available to authorized users. & Chang Seok Lee [email protected] 1
Department of Bio and Environmnetal Technology, Graduate School, Seoul Women’s University, Seoul Republic of Korea
2
Research Team on Ecological and Natural Map, National Institute of Ecology, Seocheon Choongnam Republic of Korea
3
Department of Bio and Environmnetal Technology, Seoul Women’s University, Seoul Republic of Korea
Vegetation phenology, referred to as the timing of recurring biological cycles, has been considered a sensitive indicator of climate change at local and global scales (Zhang et al. 2004; Cleland et al. 2007; Hassan et al. 2007; De Beurs and Henebry 2004; Inouye 2008; Richardson et al. 2009a, 2018; Jochner et al. 2013; Fu et al. 2014; Allstadt et al. 2015; Fitchett et al. 2015) because establishment, growth, reprodu
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