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Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series

Shen, Meicheng
http://rave.ohiolink.edu/etdc/view?acc_num=osu1563552594966495

Abstract Details

2019, Master of Science, Ohio State University, Environmental Science.
Quantifying and understanding the variability in vegetation gross primary production can help us understand vegetation’s response to climate change and predict the climate system. This thesis first compares the performance of newly developed vegetation index—Near-infrared Reflectance of Vegetation (hereafter, NIRV)—with two traditional vegetation indices (hereafter, VIs) based on eddy covariance flux tower. It turns out that NIRV performs poorly in capturing growing season length but may be good at tracking vegetation productivity at the annual scale. Next, parametric and non-parametric regression models are developed for estimating annually integrated GPP (hereafter, AIGPP). Results show that random forest models achieve lower out-of-sample error based on cross-validation. The optimal random forest model is applied to characterize the decadal changes of AIGPP in Alaska, where 6.17% of the area showed significant greening while 2.10% of the area showed significant browning at the 95% confidence level. Trend analysis has also been conducted for vegetation traits—growing season length (hereafter, GSL) and peak value (hereafter, Peak). Peak shows similar trend patterns with AIGPP, while GSL shows limited significant trends in Alaska, which contrasts with previous studies and calls for further study. These findings suggest that physiological changes of vegetation may dominant the AIGPP changes in Alaska during 2003-2014.
Desheng Liu (Advisor)
Gil Bohrer (Committee Member)
Bryan Mark (Committee Member)
116 p.
Environmental Science
Gross Primary Production; Growing Season Length; Photosynthetic Capacity; Decadal Trend; MODIS; Eddy Covariance Flux Towers

Recommended Citations

Citations

  • Shen, M. (2019). Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563552594966495

    APA Style (7th edition)

  • Shen, Meicheng. Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series. 2019. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1563552594966495.

    MLA Style (8th edition)

  • Shen, Meicheng. "Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563552594966495

    Chicago Manual of Style (17th edition)

osu1563552594966495
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© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.
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