Research Biography

Dr. Gu was a post-doctoral researcher in the BASAL Lab from 2018-2020.  He obtained his Ph.D. in Geographical information science in 2015 at Beijing Normal University and B.S. in Geographical information science in 2009 at the University of Lanzhou. Dr. Gu's  work at the University of New Hampshire  included  collecting, compiling, and processing forest data from multiple sources such as UAS (unmanned aerial system) images, historical records, and field data. He has also developed a geospatial workflow to find the best scale for single tree detection and delineation. He worked to conduct modeling between ground and UAS measurements based on the Bayesian statistics and develop improved region growing and graph network algorithms to segment single tree crown from UAS data, which resulted in 11.1% and 23.5% increases in accuracy, respectively. Dr. Gu has also taught advanced remote sensing class as co-instructor and created ArcGIS-python tutorials.

Prior to his work at the University of New Hampshire, Dr. Gu has worked at the University of Changzhou as an Associate Professor, at Starmap Technology Co., as a Senior consultant, and at the University of Heilongjiang as an Associate Professor.  Currently, Dr. Gu is employed as a Geospatial Analyst at the National Renewable Energy Lab.

AWARDS

2018, Second prize as a tutor in “Challenge Cup Competition” awarded by the University of Changzhou

2018, “State High-level Talent” awarded by Jiangsu provincial government for my consulting service to the agricultural big data project entitled, “Spatially big training data and crop type classification using UAS.”

2018, “Summit of the Six Top Talents” awarded by Jiangsu provincial Department of Human Resources and Social Security for my consulting service to the agricultural project entitled, “Spatial sampling and crop area estimation.”

2018, Second prize of excellent surveying and geographic information engineering awarded by the Land and Resources Bureau of Changzhou Municipal Government for the project entitled, “UAS data processing and interpretation for crop area estimation.”

2017, Third prize of excellent surveying and geographic information engineering awarded by the Land and Resources Bureau of Changzhou Municipal Government for the project entitled, “Spatial sampling and UAS-data collection for crop area estimation.”

2016, “High-level Science and Technology Service-oriented Scientist” awarded by the Human Resources and Social Security Bureau of Changzhou Municipal Government for my scientific report and advice to the project entitled, “Spatial sampling and crop area estimation.”

2010, Third prize in the academic contest awarded by Beijing Normal University for the scientific report entitled, “A new method to remove the atmospheric effect in HJ-1A multi-spectral image.”

2009, Outstanding undergraduate student awarded by University of Lanzhou

2008, Third prize in the national spatial modeling contest awarded by Environmental Systems Research Institute, ESRI Inc., U.S. for the project entitled, “Assessing the risk of the landslide at the city of Lanzhou based on remote sensing and GIS.”

PUBLICATIONS

Peer-Reviewed Articles

Gu J, Congalton R G, The Positional Effect in Soft Classification Accuracy assessment, American Journal of Remote Sensing, 2019, 7(2):50-61

Gu J, Congalton R G, Pan Y. The Impact of Positional Errors on Soft Classification Accuracy Assessment: A Simulation Analysis. Remote Sensing, 2015, 7(1):579-599

Congalton R G, Gu J, Yadav K, et al. Global Land Cover Mapping: A Review and Uncertainty Analysis. Remote Sensing, 2014, 6(12):12070-12093

M. Li, X. Zhu, J. Gu, G. Shuai et al., "SVDD based one class land cover mapping using optimal training samples," 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, 2014, pp. 3570-3573.doi: 10.1109/IGARSS.2014.6947254

Yizhan L, Zhu X, Pan Y, Gu J, et al. A Comparison of Model-Assisted Estimators to Infer Land Cover/Use Class Area Using Satellite Imagery. Remote Sensing, 2014, 6(1):8904-8922

Li Y, Pan Y, X Zhu, Li Y, Gu J. Comparison analysis on land cover area estimators: confusion matrix calibration and regression. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(11): 115-123

Zhang Y, Pu X, Chen H, Gu J, et al. Ecological Security assessment of Shiyang River Basin based on Remote sensing and GIS, Journal of Desert Research, 2011, 6:1493-1500

Hou D, Song G, Dong Y, Gu J. Precision Analysis of Different Radiation Parameters of Landsat Thematic Mapper Sensor, Remote Sensing for Land & Resource, 2010(4): 14-18

Articles in Preparation

Compare the canopy height model (CHM) and RGB image for tree detection and crown delineation (in the draft, scheduled in 2.2020)

Combine region growing and spatially adjusted Euclidean to delineate individual tree crown (in the draft, scheduled in 4.2020)

Region growing by over-segmented polygons for individual tree crown delineation considering crown shape prior (in preparation, scheduled in 6.2020)

Region merging using local mean color and boundary threshold for individual tree crown delineation (in preparation, scheduled in 9.2020)

Tree height measurement and mapping: A review and uncertainty analysis (developing)

Symposium Proceedings and Other Articles

J. Gu, G. Sun, Y. Pan and D. Fan, "Accuracy assessment based on the distribution of the classified errors on classified map: Simulation analysis," Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on, Shanghai, 2012, pp. 1-4

J. Gu, D. Fan, N. Jiang, and J. Liu, "A noise detection method for NDVI time series data based on dixon test," Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on, Shanghai, 2012, pp. 1-5

G. Sun, Y. Li and J. Gu, "Assessing the sustainability of agriculture in Beijing based on the biological capacity theory," Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on, Shanghai, 2012, pp. 1-4

Y. Li, G. Sun, J. Gu and J. Zhang, "Comparison of area estimators for land cover using simulated data," Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on, Shanghai, 2012, pp. 1-5

PUBLIC SERVICE
Reviewer for the following journals:
Remote Sensing, Photogrammetric Engineering & Remote Sensing, and u IEEE Geoscience and Remote Sensing