Lin Qi

CONTACT INFORMATION

Name:Qi, Lin

E-mail:Lin.Qi@umb.edu

IMG_1344

 

 

RESEARCH INTERESTS

Remote sensing, algorithm development, inland and coastal waters, water quality, algal blooms

 

EDUCATION

Post-doctorate research associate, 2015/07 – present

School for the Environment, University of Massachusetts Boston, MA 02125, USA

Visiting student, 2013/09-2015/06

Collage of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA

Ph.D. 2011/09-2014/11

Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, China 210008

Dissertation: Remote sensing of phytoplankton pigment concentrations in Taihu Lake: Algorithm development and applications.

Master of Engineering, 2008/09-2011/06

School of Geographic Science, Nanjing Normal University, Ninghai Road 122, Nanjing, China 210008

Bachelor of Science, 2004/09-2008/06

Faculty of Geomatics, East China Institute of Technology, Nanchang, China 330013

 

HONORS AND AWARDS

2013/12      National Scholarship, Chinese Academy of Sciences

2013/05       Best Student Award, Chinese Academy of Sciences

 

PUBLICATIONS

Qi, L., C. Hu, J. Cannizzaro1, A. A. Corcoran, D. English, C. Le, (in press) VIIRS observations of a Karenia brevis bloom in the Northeastern Gulf of Mexico in the absence of a fluorescence band. IEEE Geoscience. Remote Sensing Letters. doi: 10.1109/LGRS.2015.2457773.

Qi, L., C. Hu, H. Duan, Y. Zhang, and R. Ma (2015). Influence of Particle Composition on Remote Sensing Reflectance and MERIS Maximum Chlorophyll Index Algorithm: Examples from Taihu Lake and Chaohu Lake. IEEE Geoscience. Remote Sensing Letters. 12 (5): 1136-1140. doi: 10.1109/LGRS.2014.2385800.

Hu, C., B. B. Barnes, L. Qi, and A. A. Corcoran (2015). A harmful algal bloom of Karenia brevis in the northeastern Gulf of Mexico as revealed by MODIS and VIIRS: A comparison. Sensors, 15:2873-2887. doi:10.3390/s150202873.

Feng, L., C. Hu, X. Han, X. Chen, and L. Qi (2015). Long-term distribution patterns of chlorophyll-a concentration in China’s largest freshwater lake: MERIS full-resolution observations with a practical approach. Remote Sensing. 7:275-299. doi:10.3390/rs70100275.

Le, C., J. C. Lehrter, C. Hu, M. C. Murrell, and L. Qi (2014), Spatiotemporal chlorophyll-a dynamics on the Louisiana continental shelf derived from a dual satellite imagery algorithm, J. Geophys. Res. Oceans, 119, 7449–7462. doi:10.1002/2014JC010084.

Qi, L., C. Hu, H. Duan, B. B. Barnes, and R. Ma (2014). An EOF-based algorithm to estimate chlorophyll a concentrations in Taihu Lake from MODIS land-band measurements: Implications for near real-time applications and forecasting models. Remote Sens., 6:10,694-10,715. doi:10.3390/rs61110694.

Qi, L., C. Hu, H. Duan, J. Cannizzaro, and R. Ma (2014). A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations. Remote Sens. Environ., 154:298-317. doi: http://dx.doi.org/10.1016/j.rse.2014.08.026

Qi, L., R. Ma, W. Hu, and S. A. Loiselle. Assimilation of MODIS Chlorophyll-a Data Into a Coupled Hydrodynamic-Biological Model of Taihu Lake (2014). IEEE-JSTARS, 9:1623-1631; doi: 10.1109/JSTARS.2013.2280815.

 

CONFERENCES AND WORKSHOPS

Jun 15-18, 2015   International Ocean Colour Science (IOCS) 2015, San Francisco, US; poster:  VIIRS observations of a Karenia brevis bloom in the Northeastern Gulf of Mexico in the absence of a fluorescence band.

October 26-31, 2014. Ocean Optics XXII, Portland, US; Oral presentation “A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake” by Qi, L. et al.

September 14-18, 2012. The 12th water color remote sensing for Case II water workshop, Guangzhou, China;

October 3-4, 2011. Symposium of Ecology model for Lake and Watershed, Nanjing, China.