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publications

Mapping hardwood forests through a two-stage unsupervised classification by integrating Landsat Thematic Mapper and forest inventory data

Published in Journal of Applied Remote Sensing, 2014

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Recommended citation: Gang Shao, Benjamin Pauli, G Haulton, Patrick Zollner, Guofan Shao, "Mapping hardwood forests through a two-stage unsupervised classification by integrating Landsat Thematic Mapper and forest inventory data." Journal of Applied Remote Sensing, 2014.

Functional approach to simulating short-rotation woody crops in process-based models

Published in BioEnergy Research, 2015

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Recommended citation: Tian Guo, Bernard Engel, Gang Shao, Jeffrey Arnold, Raghavan Srinivasan, James Kiniry, "Functional approach to simulating short-rotation woody crops in process-based models." BioEnergy Research, 2015.

The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats

Published in Ecosphere, 2015

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Recommended citation: BP Pauli, PA Zollner, GS Haulton, G Shao, G Shao, "The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats." Ecosphere, 2015.

Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map

Published in Ecological Indicators, 2018

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Recommended citation: Gang Shao, Basil Iannone, Songlin Fei, "Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map." Ecological Indicators, 2018.

Improving Lidar-based aboveground biomass estimation of temperate hardwood forests with varying site productivity

Published in Remote Sensing of Environment, 2018

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Recommended citation: Gang Shao, Guofan Shao, Joey Gallion, Michael Saunders, Jane Frankenberger, Songlin Fei, "Improving Lidar-based aboveground biomass estimation of temperate hardwood forests with varying site productivity." Remote Sensing of Environment, 2018.

Delineation of individual deciduous trees in plantations with low-density LiDAR data

Published in International journal of remote sensing, 2019

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Recommended citation: Gang Shao, Guofan Shao, Songlin Fei, "Delineation of individual deciduous trees in plantations with low-density LiDAR data." International journal of remote sensing, 2019.

Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT)

Published in Environmental Modelling & Software, 2019

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Recommended citation: Tian Guo, Bernard Engel, Gang Shao, Jeffrey Arnold, Raghavan Srinivasan, James Kiniry, "Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT)." Environmental Modelling & Software, 2019.

Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling

Published in Remote Sensing, 2019

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Recommended citation: Danilo Almeida, Scott Stark, Gang Shao, Juliana Schietti, Bruce Nelson, Carlos Silva, Eric Gorgens, Ruben Valbuena, Daniel Papa, Pedro Brancalion, "Optimizing the remote detection of tropical rainforest structure with airborne lidar: Leaf area profile sensitivity to pulse density and spatial sampling." Remote Sensing, 2019.

Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar

Published in Remote Sensing of Environment, 2019

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Recommended citation: Gang Shao, Scott Stark, Danilo Almeida, Marielle Smith, "Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar." Remote Sensing of Environment, 2019.

Less agricultural phosphorus applied in 2019 led to less dissolved phosphorus transported to Lake Erie

Published in Environmental Science & Technology, 2020

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Recommended citation: Tian Guo, Laura Johnson, Greg LaBarge, Chad Penn, Richard Stumpf, David Baker, Gang Shao, "Less agricultural phosphorus applied in 2019 led to less dissolved phosphorus transported to Lake Erie." Environmental Science & Technology, 2020.

Exploring potential roles of academic libraries in undergraduate data science education curriculum development

Published in The Journal of Academic Librarianship, 2021

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Recommended citation: Gang Shao, Jenny Quintana, Wei Zakharov, Senay Purzer, Eunhye Kim, "Exploring potential roles of academic libraries in undergraduate data science education curriculum development." The Journal of Academic Librarianship, 2021.

Improvement of simulating sub-daily hydrological impacts of rainwater harvesting for landscape irrigation with rain barrels/cisterns in the SWAT model

Published in Science of The Total Environment, 2021

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Recommended citation: Siyu Li, Yaoze Liu, Younggu Her, Jingqiu Chen, Tian Guo, Gang Shao, "Improvement of simulating sub-daily hydrological impacts of rainwater harvesting for landscape irrigation with rain barrels/cisterns in the SWAT model." Science of The Total Environment, 2021.

Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine

Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2021

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Recommended citation: Tongxi Hu, Elizabeth Toman, Gang Chen, Gang Shao, Yuyu Zhou, Yang Li, Kaiguang Zhao, Yinan Feng, "Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine." ISPRS Journal of Photogrammetry and Remote Sensing, 2021.

High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA

Published in Remote Sensing, 2022

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Recommended citation: Sungchan Oh, Jinha Jung, Guofan Shao, Gang Shao, Joey Gallion, Songlin Fei, "High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA." Remote Sensing, 2022.

Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach

Published in Environmental Modelling & Software, 2022

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Recommended citation: Tian Guo, Yaoze Liu, Gang Shao, Bernard Engel, Ashish Sharma, Lucy Marshall, Dennis Flanagan, Raj Cibin, Carlington Wallace, Kaiguang Zhao, "Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach." Environmental Modelling & Software, 2022.

talks

Indiana forest cover mapping with multi-stage integrated classification of satellite and in-situ forest inventory data

Published: September 01, 2012

Shao, G.* G.F. Shao, P. A. Zollner, B. Pijanowski, B.P. Pauli, and S.G. Haulton. 2012. “Indiana forest cover mapping with multi-stage integrated classification of satellite and in-situ forest inventory data”, ForestSAT 2012, September 2012. Oregon State University, Corvallis, OR, USA (poster).

Geospatial optimization of location strategies for building a woody energy plant

Published: April 01, 2013

Shao, G.* 2013. “Geospatial optimization of location strategies for building a woody energy plant”, International Biomass Conference & Expo, April 2013. Minneapolis Convention Center, Minneapolis, MN, USA (poster).

Effects of timber harvesting on water resources in the Santee watershed in South Carolina

Published: June 01, 2013

Shao, G.*, T. Guo, L. Ahiablame, and G.F. Shao, 2013. “Effects of timber harvesting on water resources in the Santee watershed in South Carolina”, Southern Forest Tree Improvement Committee, June 2013. Clemson University, Clemson, SC, USA (poster).

Lidar data analysis for canopy closure and forest age in yellowwood state forest, Indiana

Published: November 01, 2013

Shao. G., A. Meier, M. Saunders, and G.F. Shao. 2013. “Lidar data analysis for canopy closure and forest age in yellowwood state forest, Indiana”, GISDay 2013, November 2013. Purdue University, West Lafayette, IN, USA (poster).

Using lidar data to estimate forest canopy gaps in yellowwood state forest, IN.”

Published: April 03, 2014

Shao, G. “Using lidar data to estimate forest canopy gaps in yellowwood state forest, IN.” Workshop on Advancing Continuous Wave LiDAR for Surveying, Mapping and Remote Sensing, Purdue University, West Lafayette, IN, USA, 04/03/2014.

How structural complexity of vegetation facilitates invasion: Integrating lidar and FIA invasive species plot data in the Appalachian Mountains of the USA

Published: November 01, 2014

Madurapperuma B.D., B.V. Iannone III, J, Jung, B.C. Pijianowski, S. Fei and G. Shao. 2014. “How structural complexity of vegetation facilitates invasion: Integrating lidar and FIA invasive species plot data in the Appalachian Mountains of the USA”, GISDay 2014, November 2014, Purdue University, West Lafayette, IN, USA (poster).

Estimation of forest interior condition in southern Appalachian Mountains using airborne lidar data

Published: November 02, 2014

Shao, G., S. Fei, B.D. Madurapperuma, and G. Shao. 2014. “Estimation of forest interior condition in southern Appalachian Mountains using airborne lidar data”, GISDay 2014, November 2014, Purdue University, West Lafayette, IN, USA.

The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats

Published: March 01, 2015

Pauli B.P., P.A. Zollner, G.S. Haulton, G. Shao and G. Shao, “The simulated effects of timber harvest on suitable habitat for Indiana and northern long-eared bats”, North American Joint Bat Working Group Meeting, March 2015, Crowne Plaza Hotel and Conference Center, St. Louis, Missouri, USA.

The use of airborne lidar for forestry applications

Published: March 09, 2015

Shao, G. “The use of airborne lidar for forestry applications”, online guest lecture for the course GSP326, the intermediate remote sensing, at Humboldt State University, 03/09/2015.

Using airborne lidar data to estimate of forest interior condition: a case study of Southern Appalachian Mountains

Published: April 01, 2015

Shao G., S. Fei, B.D. Madurapperuma, and G.F. Shao, “Using airborne lidar data to estimate of forest interior condition: a case study of Southern Appalachian Mountains”, Association of American Geographers, April 2015, Chicago, Illinois, USA.

Improving lidar-based aboveground biomass estimation with site productivity for central hardwood forests, USA

Published: December 01, 2016

Shao, G., J. Gallion, S. Fei, G.F. Shao, “Improving lidar-based aboveground biomass estimation with site productivity for central hardwood forests, USA”, AGU Fall Meeting, December 2016, San Francisco, USA (poster).

Database management in ArcGIS

Published: February 02, 2017

Shao, G. “Database management in ArcGIS”, guest lecture for the course FW419, application of GIS to natural resources management, at Michigan State University, 02/02/2017.

Towards remote estimation of phylloenvironments to assess tropical forest function and dynamics

Published: August 01, 2018

S.C. Stark, M.N. Smith, N. Prohaska, G. Shao, J. Wu, L.P. Albert, K.M. Dahlin, S.P. Serbin, D.R.A. Almeida, R.C. de Oliveira, S.R. Saleska, “Towards remote estimation of phylloenvironments to assess tropical forest function and dynamics”, ESA, August 2018, New Orleans, USA.

Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar

Published: October 01, 2018

Shao, G., S.C. Stark, D.R.A. Almeida and M.N. Smith, “Towards high throughput assessment of canopy dynamics: the estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar”, ForestSAT 2018, College Park, Maryland, USA.

High throughput assessment of canopy structure in Amazon tropical forests

Published: October 27, 2018

Shao, G. “High throughput assessment of canopy structure in Amazon tropical forests”, invited presentation, Southwest University, China, 10/27/2018.

Towards high throughput assessment of canopy dynamics: Exploring the challenges and opportunities for multi-temporal multi-site lidar remote sensing analysist

Published: February 26, 2019

Shao, G. “Towards high throughput assessment of canopy dynamics: Exploring the challenges and opportunities for multi-temporal multi-site lidar remote sensing analysist, Department of Forestry Hanover Seminar, Michigan State University, 02/26/2019.

Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients

Published: December 01, 2019

Smith, M., Schietti, J., Gonçalves, N., Minor, D., de Almeida, D.R.A., Rocha, D.G., Aragón, S., Menin, M., Guedes, M.C., Tonini, H. da Silva, K.E. and Shao, G. et. al, 2019, December. Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. In AGU Fall Meeting 2019. AGU.

A thermal tolerance trait distinguishes microclimatic niches of tropical trees

Published: December 02, 2019

Taylor, T., Smith, M., Visser, M.D., McMahon, S., Anderson-Teixeira, K.J., Kunert, N., Herrmann, V., Muller-Landau, H.C., Shao, G., Stark, S.C. and Feeley, K., 2019, December. A thermal tolerance trait distinguishes microclimatic niches of tropical trees. In AGU Fall Meeting 2019. AGU.

Gang Shao

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