Fall NEARC 2018 has ended
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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Monday, October 29


Census Track. Synchronization and Standardization of Address Points and Street Centerline Files
AUTHORS: James Coyle, Geographic Specialist, U.S. Census Bureau

ABSTRACT: Synchronizing and standardizing address points with street centerlines can be highly advantageous in maintaining large address databases. This presentation will advance a spatial methodology for synchronizing the 6.1 million New York State E-911 address points with the US Census Bureau TIGER line files. The methodology has a significant number of useful outputs which include a drop point on the street centerline for use in network analysis, an offset point that may be used for cartographic labeling, coding for each address point that indicates the specific standardization method used. Finally, since each address point is allocated to a specific TIGER segment, this method establishes a framework for small area analysis or spatial analysis at the block face level that can be used to advance community health analysis. Finally, this presentation will present how owner occupancy has evolved in Erie County, New York in the time period 2005-2015 utilizing the methodology advanced in this presentation.

Monday October 29, 2018 11:00am - 11:30am
Broadway 1&2


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


Web Apps #1 Track. How Unique (Search) Is Your Widget?
AUTHORS: Michael Blair, Innovate! Inc.

ABSTRACT: The Query widget is great for predefined searches, however, what do you do when you want to find data across multiple attributes and many unique values per attribute? Innovate! solved that problem by developing a custom widget to make use of a unique value SQL view to serve the data dynamically through a service. The widget then consumes the JSON response and builds a multi-selection search interface. Additionally, there is a geographic filtering function that allows for the querying to be conducted within a drawn geometry. See how you can be unique too!

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


Web Apps #1 Track. Using GIS Tools to Better Manage Staff, Projects and Better Utilize Acquired Data
AUTHORS: John Diaz, Robert Nalewajk – Greenman-Pedersen, Inc.

ABSTRACT: GPI is actively utilizing in-house UAS services for a variety of project related tasks. These can vary from obtaining simple graphics for marketing/presentation purposes to complex, surveys and infrastructure assessments. Keeping track of the flights, in terms of planning, scheduling, assigning pilots and notifying Project Managers of the completion of the flight as well as data processing was becoming more difficult as more and more applications for UAS services grew. One of the biggest issues was communicating with the UAS pilots to assign projects and for them to notify staff of the status (planning, complete, etc.).

Utilizing a variety of ESRI GIS products; including Workforce, Collector, Web Apps, AGOL and Desktop, GPI was able to provide a more direct way for Project Managers to coordinate and schedule UAS flights. Through building a Web App, Managers could submit a flight request and check on the status of the flight. Through integrating the Flight Request with Workforce, the flight could be assigned to the UAS Pilot through the mobile application. Integrating the Collector application with Workforce allowed the UAV Pilot to view all details of the project as well as giving them the opportunity to edit relevant data from the field.

Once the flight was completed, a dashboard was developed to provide a quick update of the flight request status.

The discussion will also include GPI's use of Collector and Survey 123 as tools to more efficiently and effectively collect field data for a variety of applications.

Monday October 29, 2018 2:00pm - 2:30pm
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


Data Analysis/Visualization Track. Exploring Jupyter: Bridging the Gap Between GIS and Data Science
AUTHORS: Mark Zito, CDM Smith

ABSTRACT: Geospatial Analysis can be considered a subset of Data Science. To consider yourself a data scientist, you need to be skilled at programming, data visualization, statistics, machine learning, linear algebra and data wrangling. You also need to know the tools that make all this possible and Python and Jupyter notebooks are leading the pack. Through Esri’s ArcGIS API for Python, Jupyter notebooks are now baked into your desktop software package. In this talk, we will cover the basics of using the notebook with your organizations GIS data and even explore some machine learning models that push the boundaries of what you can do in GIS. You may be asking, why Jupyter notebooks? These notebooks allow you to create and share with live code, markdown text, visualizations including maps, statistical models and more. They are all the rage in the data science community and offer a simple way to share and document your code.

Tuesday October 30, 2018 9:30am - 10:00am
Broadway 3


Hydrography Track. The National Hydrography Dataset (NHD) and National Hydrography Dataset Plus High Resolution (NHDPlus HR)
AUTHORS: Peter Steeves, USGS

ABSTRACT: The National Hydrography Dataset (NHD) is the U.S. Geological Survey’s geospatial dataset used to portray surface water in The National Map. The NHD represents the drainage network with features such as rivers, streams, canals, lakes, ponds, coastline, dams, and streamgages. The NHD also includes a linear referencing system based on reach codes that functions like a street address, and network connectivity information that enable analysis and discovery of information upstream or downstream of a point of interest.
The National Hydrography Dataset Plus (NHDPlus) enhances the NHD by incorporating two other USGS datasets; seamless elevation data from the 3D Elevation Program (3DEP), and delineations of drainage divides from the Watershed Boundary Dataset (WBD). The NHDPlus comprises an integrated suite of hydrologic geospatial data sets, including a hydrographic stream network, polygonal catchment areas representing incremental drainage areas for each stream network element, and Digital Elevation Model (DEM) derivatives including flow direction and flow accumulation grids. The USGS and U.S. Environmental Protection Agency (USEPA) collaborated to produce two versions of the NHDPlus (V1 and V2) using the Medium-Resolution NHD at 1:100,000 scale, 30-meter elevation data from 3DEP, and WBD. Now the USGS is working on NHDPlus HR, which uses techniques and software from NHDPlus V2 with the NHD High Resolution (1:24,000-scale or better), 10-meter elevation data from 3DEP, and WBD. Many applications have been built upon the previous versions of NHDPlus, which we anticipate will expand with the NHDPlus HR. This presentation will provide an introduction to both NHD and NHDPlus HR.

Tuesday October 30, 2018 9:30am - 10:00am
Broadway 1&2


UAV #2 Track. UAS Lidar and Imagery in the NERRS: Evaluating the Effectiveness of UAS Sensors and Platforms for Multi-Purpose Mapping of Marshes and Beaches in the NERRS Sentinel Site Network
AUTHORS: Kirk Waters, NOAA OCM; Sue Bickford, Wells NERR; Jamie Carter*, TBG at NOAA OCM; Nina Garfield, NOAA OCM; Andrea Habeck, Jacques Cousteau NERR; Nate Herold, NOAA OCM; Jared Lewis, San Francisco Bay NERR; Jonathan Pitchford, Grand Bay NERR; Melissa Rosa, TBG at NOAA OCM

ABSTRACT: There is a near universal need within the National Estuarine Research Reserve System (NERRS) and by other natural resource stakeholders for accurate Digital Elevation Models (DEMs) and habitat maps to support a diversity of applications. Applications include supporting sea level rise research and management and flood forecasts; evaluating the impact of specific vegetation management practices on elevation in marsh micro-environments; assessing beaches after storms for damage assessment and restoration purposes; and identifying high priority invasive and sensitive vegetation. Our intent with this project was to evaluate the effectiveness of unmanned aerial system (UAS) platforms to produce multiple mapping data and products for elevation and vegetation mapping in marshes and dune systems. We sought a UAS solution that could fly multi-spectral and lidar elevation instruments sequentially on the same platform. We contracted UAS data collection to the private sector (Quantum Spatial, Inc., and PrecisionHawk) and conducted the ground truth ourselves (NERRS and NOAA staff). We used multiple NERRS sentinel sites as test beds. Data from multiple high-resolution multi-spectral sensors and lidar elevation were acquired for three NERRS sites: Jacques Cousteau, NJ; Grand Bay, MS; and Rush Ranch in San Francisco Bay, CA. The data were evaluated on their ability to meet specifications, primarily positional accuracy and resolution, and their potential to improve habitat mapping.

Tuesday October 30, 2018 10:30am - 11:00am
Saratoga 1/2


Workshop Track. Leveraging the Power of Big Data to Capture and Visualize High-Volume Vector Data Change with ArcGIS and Amazon's Redshift Database
AUTHORS: Brian Hebert, ScribeKey, LLC

ABSTRACT: Leveraging ArcGIS tools and the high performance computing power of Amazon Web Services Redshift big data cloud database platform, Brian Hebert of ScribeKey, LLC, will demonstrate capturing and visualizing high volume vector data change. Metrics will be captured, presented, and analyzed to describe changes to the full national US TIGER Line street network layer (All Lines - EDGES), between 2013 and 2017, involving comparisons of tens of millions of individual street line features' geometry and attributes. Participants will gain a solid understanding of how big data engines can be leveraged and integrated with ESRI's GIS Desktop applications.

Tuesday October 30, 2018 10:30am - 12:00pm
Broadway 3


Natural Resources #1 Track. Creating Marine Vessel Activity Data Products from AIS
AUTHORS: Fontenault Jeremy, RPS; Daniel Martin, NOAA Office for Coastal Management; Jenna Ducharme*, RPS

ABSTRACT: Maritime commerce in our oceans is a critical resource for supporting domestic and international transportation, trade, and recreation. Understanding marine transportation patterns is an important step to ensure safety and commercial viability while avoiding any potential use conflicts with other activities. To this end the U.S. Coast Guard implemented the Nationwide Automatic Identification System program, which leverages the Automatic Identification System (AIS), a global standard for ship communications that mandates certain vessels carry AIS transponders. These transponders broadcast vessel identity, position and other information to track and monitor ship transits. This presentation will discuss the creation of vessel transit counts of commercial cargo, tanker, tug-tow, passenger, fishing, recreation, other, or all vessels from the raw AIS data. These data products were recently updated for years 2013 – 2017 and are being presented on the Northeast Ocean Data Portal, among other data portals. This presentation will highlight tools that have been developed to better understand, and use these complex data. Finally, it will show how this data is being displayed and methods that can be used to understand patterns of marine vessel traffic for ocean use planning initiatives.

Tuesday October 30, 2018 11:00am - 11:30am
Broadway 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


Enterprise GIS #1 Track. Dr. Strange Locus, or: How I Learned To Stop Worrying And Love The Common Gateway Interface
AUTHORS: Stephen Washburn, GZA GeoEnvironmental; Justin Ivas, GZA GeoEnvironmental

ABSTRACT: This presentation will cover the automated mapping platform we have developed using python, JS, CGI, and ESRI API that we have dubbed “GZA Automap”. It provides an easy to use front end or “user interface” on our company SharePoint. The platform allows users to interact with the front end on SharePoint to automatically generate project specific maps derived from information stored in in our SQL enterprise databases. We have begun with the most commonly used and simplest to automate, the Site Locus Map and the Site Plan.

As the platform progresses we hope to add support for the automation of textual reporting, exploration location plans, geotechnical or environmental sub-surface profiles and much more!

presentation outline (subject to refinement):
1. Introduction
2. The concept is born (here at NEARC fall two years ago!)
3. The Early Days (developing and refining individual functions for the application)
4. Operating on an Island (application works but only locally on individual workstations)
5. Planning the Exodus (understanding client/server applications and migrating the application to the cloud)
6. The Face of the Platform (UI/UX)
7. Nuts and Bolts (server side python application aspects)
8. Web Server Configuration
9. Future Sight
10. Q & A

Tuesday October 30, 2018 11:30am - 12:00pm