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Article
A Comparison of Tropical Rainforest Phenology Retrieved From Geostationary (SEVIRI) and Polar-Orbiting (MODIS) Sensors Across the Congo Basin
IEEE Transactions On Geoscience and Remote Sensing
  • Dong Yan, South Dakota State University
  • Xiaoyang Zhang, South Dakota State University
  • Yunyue Yu, NOAA, National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research (STAR)
  • Wei Guo, NOAA, National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research (STAR)
Document Type
Article
Publication Version
Version of Record
Publication Date
8-1-2016
Keywords
  • tropical rainforest phenology,
  • Congo basin,
  • Moderate Resolution Imaging Spectroradiometer (MODIS),
  • Spinning Enhanced Visible and Infrared Imager (SEVIRI)
Description
The seasonal and interannual dynamics of tropical rainforests play a critical role in the global carbon cycle and climate change. This paper retrieved and compared land surface phenology from observations acquired by the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard geostationary satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) on polar-orbiting satellites over the Congo Basin. To achieve this,we first retrieved canopy greenness cycles (CGCs) and their transition timing from two-band enhanced vegetation index (EVI2) derived from SEVIRI and MODIS data between 2006 and 2013.We then assessed the influences of SEVIRI and MODIS data quality on the reconstruction of the EVI2 temporal trajectory, the detection of the CGC onset and end timing, and the total number of successful CGC retrievals. The significance of influences was determined using the one-tailed two-sample Kolmogorov–Smirnov test. The results indicate that diurnal SEVIRI observations greatly increased the probability of capturing cloud-free daily EVI2 in the rainforest-dominated region of the Congo Basin, where the proportion of good quality (PGQ) observations during a CGC was up to 80% higher than that from MODIS. As a result, the double annual CGCs of the Congo Basin rainforests were well identified from SEVIRI but sparsely detected from MODIS, whereas the single annual CGC in the savanna-dominated northern and southern Congo Basin was successfully retrieved from both SEVIRI and MODIS. Moreover, the decreases of PGQ in an EVI2 time series were found to significantly increase the uncertainties of retrieved phenological timings and increase the probabilities of CGC retrieval failures.
DOI of Published Version
10.1109/TGRS.2016.2552462
Pages
15
Format
application/pdf
Language
en
Publisher
IEEE
Rights
Works produced within the official duties of an employee of the U.S. Government are not subject to copyright within the U.S. Not subject to U.S. copyright protection.
Comments

This article appeared in IEEE Transactions On Geoscience and Remote Sensing (2016) 54:8, http://doi.org/10.1109/TGRS.2016.2552462

Citation Information
Dong Yan, Xiaoyang Zhang, Yunyue Yu and Wei Guo. "A Comparison of Tropical Rainforest Phenology Retrieved From Geostationary (SEVIRI) and Polar-Orbiting (MODIS) Sensors Across the Congo Basin" IEEE Transactions On Geoscience and Remote Sensing Vol. 54 Iss. 8 (2016) p. 4867 - 4881
Available at: http://works.bepress.com/xiaoyang-zhang/19/