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2018 December OKSCAUG User Group Meeting

  • 04 Dec 2018
  • 9:00 AM - 12:00 PM
  • Stillwater, OK


Registration is closed

Central Electric Cooperative

Tuesday December 4th

9am - Noon


Central Electric Cooperative Training Center
3305 S. Boomer Road
Stillwater, OK 74076

(Please park in the employee lot on

 the north side of the training center)

2018 Toy Drive!!

Let's bless the children!!

For each unwrapped toy donated

you will receive a ticket for a chance to win

amazing door prizes donated by OKSCAUG sponsors.

A special thanks to :

Central Electric Cooperative for the facility.

Surdex for providing breakfast.

April Chipman @ Central Electric Cooperative for helping coordinate the event.

9:00 - 9:30

Welcome & Announcements

9:30 - 10:00

User Presentation

Why is all aerial mapping data not created equal?

Tim Bohn- Surdex

With the abundance of geospatial data available today, you must identify how your data was produced to understand its accuracy limitations before deciding when and where to use it with other datasets.

10:00 - 10:15


10:15 - 10:45

User Presentation

Condition Assessment of Storm Sewer Systems, A Case Study

Jason Kleps - Meshek & Associates LLC

Communities need to know the location and condition of their storm sewer assets to improve storm water conveyance, reduce flooding, and prevent road cave-ins. This is especially important for communities with decades-old infrastructure. City engineers and planners need a tool to guide them in their capital improvement planning and help rationalize the allocation of limited resources.

For over three years, Meshek & Associates has been engaged in a project to inventory and assess the City of Tulsa’s storm water system. Using the Collector for ArcGIS mobile solution, Meshek has inventoried over 20,000 structures and 60 miles of pipe in compliance with NASSCO industry standards. In addition Meshek has contracted with several CCTV companies for the inspection of over 120 miles of pipe.The project data is updated nightly and is accessible with an online GIS-based webviewer for City staff to review.

This presentation will discuss the origin and development of this project, along with successes and challenges encountered, and will include a section on how to implement this solution in your community.

10:45 - 11:00


11:00 - 11:30

User Presentation

Canopy cover and herbaceous aboveground biomass in Mongolia and Inner Mongolia: spatiotemporal estimates and controlling factors

Dr. Ranjeet John - OSU Department of Geography 

Temperate and semiarid grasslands comprise 80% of the land area on the Mongolian Plateau which includes Mongolia (MG), and the province of Inner Mongolia (IM), China. Substantial land cover/use change in the last few decades, driven by a combination of post-liberalization socioeconomic changes and extreme climatic events, has degraded these water-limited grassland’s structure and function. Hence, a precise estimation of canopy cover (CC, %) and aboveground biomass (AGB, g m-2) is needed. In this study, we analyzed >1000 field observations with sampling during June, July and August (JJA) in 2006, 2007, 2010 and 2016 in IM and 2010–2012 and 2014–2016 in MG. The field sampling was stratified by the dominant vegetation types on the plateau, including the meadow steppe, the typical steppe, and the desert steppe. Here we used Moderate Resolution Imaging Spectroradiometer (MODIS) derived surface reflectance and vegetation indices optimized for low cover conditions to develop and test predictive models of CC and AGB using observed samples as training and validation data through rule-based regression tree models. We then used the predictive models to estimate spatially-explicit CC and AGB for the plateau between 2000-2016. Our study demonstrated the effectiveness of our predictive models in up-scaling ground observations to the regional scale across steppe types. Our results showed that model R2 and RMSE for CC and AGB were 0.74 (13.1%) and 0.62 (85.87 g m-2), respectively. The validation R2 and RMSE for CC and AGB were 0.67 (14.4%) and 0.68 (76.87 g m-2), respectively. The mean±SD for CC and AGB were 24.90±23.41 % and 155.17±115.23 g m-2, respectively. We also found that our scaled up estimates were significantly related to inter-annual climatic variability and anthropogenic drivers of change especially distance to urban/built-up areas and livestock density. In addition to their direct use in quantifying the spatiotemporal changes in the terrestrial carbon budget, results from these predictive models can help decision makers and rangeland managers plan sustainable livestock practices in the future.

11:30 - Noon

Closing Remarks & Toy Drive Drawings


Attendees GISP Credits: 4 hours - EDU - 0.1 credit
Presenters GISP Credits: 1 hour - CON - 1.0 credit

SCAUG is a not for profit organization dedicated to benefit users of ESRI’s geographic information software | Founded in 1990 | © SCAUG 2019 |

South Central Arc Users Group

P.O. Box 96

Ardmore, OK 73402

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