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Welcome to the interactive web schedule for the 2018 Fall NEARC Conference! To return to the NEARC website, go to: https://www.northeastarc.org/fall-nearc.html

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Modeling [clear filter]
Monday, October 29


3D Track. 3D Solar Rating for Cambridge Street Trees
AUTHORS: Katie Grillo, City of Cambridge, MA

ABSTRACT: The City of Cambridge has nearly 30,000 street trees that are maintained by the City's Department of Public Works (DPW). DPW was interested in reviewing their watering plans and also investigating tree mortality in relation to a tree's location. ArcGIS Pro tools and models were used with both LiDAR and 3D multipatch buildings to determine how much sunlight each street tree receives throughout the summer. As a way to make the results of this study more accessible to city staff, the solar rating is incorporated into the street tree data and displayed in a 3D web scene on ArcGIS Online.

Monday October 29, 2018 1:30pm - 2:00pm
Saratoga 1/2


3D Track. NYS Elevation Data: Lifecycle on Collecting, Reviewing, and Sharing Elevation Data
AUTHORS: Jeffrey Langella, New York State Information Technology Services - GIS Program Office

ABSTRACT: This presentation will highlight how New York State is working with other County, State, and Federal Agencies on where to collect Elevation Data. A high level overview on how the data is reviewed for quality and accuracy using several different GIS packages. The end of the presentation will focus on all the products we make available free of charge. These products include bare earth DEMs, Hillshade, Contours, and LAS Point Clouds. We will focus on how we make all of this data available to the public via direct download and web services.

Monday October 29, 2018 2:00pm - 2:30pm
Saratoga 1/2


Water Track. Water Analytics: Using ArcGIS Online to Integrate Stormwater Utility Models with near Real-Time Data Feeds
AUTHORS: Brittney Gibbons, CDM Smith; Darren Mackiewicz*, CDM Smith

ABSTRACT: A ‘Water Analytics’ platform was implemented by CDM Smith and the Metropolitan District Commission (MDC) of Hartford, Connecticut to empower proactive real-time geospatial decision-making—enabling a smarter infrastructure approach to monitoring, operating and improving collection system infrastructure. This is accomplished through automated integration of system data and hydraulic models for validation of expected performance, displayed through an easy-to-use geospatial web viewer.

The platform is proving to be valuable in monitoring and refining the MDC’s $2 billion Clean Water Project to mitigate combined sewer overflows (CSO) and sanitary sewer overflows (SSO), and has enabled the MDC to identify and address collapsed pipes, capacity constraints and other O&M issues proactively before becoming larger problems.

Monday October 29, 2018 2:00pm - 2:30pm
Broadway 1&2
Tuesday, October 30


Data Analysis/Visualization Track. In Data We Trust? Using Data Science to Increase Locational Confidence
AUTHORS: Katie Budreski*, Jonnie Dunne, Lauren Padilla – Stone Environmental

ABSTRACT: As GIS analysts and data scientists, we rely on the high quality datasets prepared by authoritative sources, such as the National Land Cover Database (NLCD) published by the Multi-Resolution Land Characteristics Consortium (MRLC) and the Cropland Data Layer (CDL) published by the National Agriculture Statistics Service (NASS). These datasets allow us to do powerful and meaningful nationwide analyses. But to fully trust the data for planning and decision making, we need to understand its limitations and incorporate known uncertainty into analyses. Additionally, ancillary data and machine learning can be used to improve locational and information confidence, such as high resolution imagery and image segmentation.

Tuesday October 30, 2018 9:00am - 9:30am
Broadway 3


Lidar/3D Track. Expanding Vermont Spatial Data Infrastructure with Statewide QL2 Lidar
AUTHORS: Mike Brouillette, Lidar Program Manager, Vermont Center for Geographic Information

ABSTRACT: Vermont has achieved statewide Quality Level 2 (QL2) lidar coverage in 2018, positioning the state to pursue robust Vermont Spatial Data Infrastructure (VSDI) goals previously out of reach. Primary among these goals is a statewide, 17-class land cover layer at 0.5m resolution with an overall accuracy of 90% or better. The geometric information in lidar along with the spectral information in various statewide imagery supports Automated Feature Extraction using an Object Based Image Analysis framework to produce this data. Increased data accuracy, reduced acquisition costs, and advancing technologies are increasingly enabling those responsible for finding innovative solutions to an array of Vermont’s challenges. A pre-release of the land cover data will be shown along with other current efforts (Statewide Property Parcel Mapping Program), as well as a brief overview of the lidar program and lidar-based services.

Tuesday October 30, 2018 9:00am - 9:30am
Saratoga 1/2


UAV #2 Track. Beyond the Drone

ABSTRACT: Small Unmanned Aerial Systems (sUAS) aka. Drones have been in use for several years and users have found many uses for data that can be produced using these systems. These applications range from basic imagery for marketing or personal use to more advanced applications such as orthophoto rectification or topographic modeling. This presentation will focus on the photogrammetric application know as Structure for Motion (SfM) and how sUAS imagery can be used to create ground surface model and 3D models of other objects such as tanks, towers and piers.

Tuesday October 30, 2018 11:00am - 11:30am
Saratoga 1/2