Overview of the 12th Southern Forestry and Natural Resource Management GIS Conference

Authors

  • Pete Bettinger University of Georgia Forestry Building 4, Room 527 Phone: 706-542-1187

Keywords:

GIS, Remote Sensing, GPS, UAV, 3D Modeling, LiDAR, Satellite Imagery, Urban Forestry

Abstract

This is a brief summary of the background and contents of the research papers included in the 2020 Special Section on the 2019 Southern Forestry GIS Conference. Other papers from the conference, still undergoing peer review, may appear in the future issues of the Mathematical and Computational Forestry & Natural-Resource Sciences journal.

Author Biography

  • Pete Bettinger, University of Georgia Forestry Building 4, Room 527 Phone: 706-542-1187
    Hargreaves Distinguished Professor in Forest Management
    Warnell School of Forestry and Natural Resources
    University of Georgia
    180 East Green Street
    Athens, GA 30602 USA


References

Bettinger, P., & Merry, K. 2014. A Brief Overview of the 9th Southern Forestry and Natural Resources GIS Conference. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 6(2), 62-64 (3). Retrieved from http://mcfns.net- /index.php/Journal/article/view/6 62

Bettinger, P., & Merry, K. 2016a. An overview of the 10 th Southern Forestry and Natural Resource Man- agement GIS Conference. Mathematical and Com- putational Forestry & Natural-Resource Sciences (MCFNS), 8(1), 1-3(3). Retrieved from http://mcfns- .net/index.php/Journal/article/view/MSFNS.8.1

Bettinger, P., & Merry, K. 2016b. A brief overview of the second Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 8(2), 16-17 (2). Retrieved from http://mcfns.net- /index.php/Journal/article/view/8.3

Bettinger, P., & Merry, K. 2017. Overview of the third Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Con- ference. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 9(2), 1-2(2). Retrieved from http://mcfns.net/index.php/Journal- /article/view/9.5

Bettinger, P., & Hubbard, W. 2010. The 2009 South- ern Forestry and Natural Resources GIS Confer- ence. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 2(2), Pages: 135-137 (3). Retrieved from http://mcfns.net/index- .php/Journal/article/view/MCFNS.2-135

Cieszewski, C. 2018. Overview of the 2017 11th South- ern Forestry and Natural Resources GIS Confer- ence. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1), 13-14(2). Retrieved from http://mcfns.net/index.php/Journal- /article/view/10.4

Crosby, M.K., T.E. McConnell, and J.J. Holderieath. 2020. Forest Canopy Benefits in Small Urban Ar- eas of Louisiana. Mathematical and Computational Forestry & Natural-Resource Sciences. 12(2): 18-31. Retrieved from http://mcfns.net/index.php/Journal- /article/view/12.7

Gat, D.C., M.K. Crosby, J.J. Holderieath, and T.E. Mc- Connell. 2020. A simulation approach to using Land- sat 8 imagery to determine a threshold for detecting changes along a streamside management zone: A case study in Louisiana. Mathematical and Computational Forestry & Natural-Resource Sciences. 12(2): 12–17. Retrieved from http://mcfns.net/index.php/Journal- /article/view/12.8

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Published

2020-10-30

Issue

Section

Special Section on the Southern Forestry GIS Conference

How to Cite

Overview of the 12th Southern Forestry and Natural Resource Management GIS Conference. (2020). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 12(2), 72-73(2). https://tmp.mcfns.com/index.php/Journal/article/view/12.6

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