CHRISTINA FRIEDLE
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Current jobs @ NV5 in Portland

12/10/2025

 
1. LiDAR Calibration Analyst
​
2. Geospatial Analyst - Data Verification
3. LiDAR - Quicklook Data Verification Technician
4. Geospatial Developer
5. ​Senior Lidar Technician

SCGIS & NASA Free Virtual Webinar Part 2!

11/29/2025

 
SCGIS & NASA Free Virtual Webinar Part 2!

Advancing Conservation and Community Resilience with Thermal and Hyperspectral Remote Sensing: Applications from NASA’s ECOSTRESS and EMIT Missions (PART 2) 
December 2, 2025 3:00-4:00 pm Eastern / 12:00-1:00 pm Pacific (that's two weeks away!).

REGISTER NOW!

Advances in thermal infrared radiometry and hyperspectral imaging are revolutionizing how we observe and understand Earth’s environmental systems. These technologies provide detailed data on land surface temperatures, vegetation health, plant functional traits and phenology, water quality, and other critical indicators for tracking ecosystem change and climate impact. In this two-part SCGIS and NASA webinar series, we highlight real-world applications using data from two NASA instruments aboard the International Space Station: 1) Ecosystem Spaceborne Thermal Radiometer on Space Station (ECOSTRESS) and 2) Earth Surface Mineral Dust Source Investigation (EMIT).

This webinar is open to the public.

Cascadia ASPRS Fall Technical Exchange Oct 17, 2025

10/1/2025

 
Link to register: https://www.eventbrite.com/e/2025-asprs-cascadia-technical-exchange-tickets-1711332033179?aff=oddtdtcreator
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Geochallenge 2025: Registration is open!

10/1/2025

 
The 2025 Geochallenge is live!
There website with detailed information is here:   https://my.asprs.org/ASPRSMember/Event_Display.aspx?EventKey=GEOC2025

Who Can Enter?
ASPRS Student Members and Early Career Professional Members with 2 years or less of full-time employment in the geospatial profession.  Participants may team together for one submission and split the prize money if applicable.
(Esri® employees or immediate family members are not eligible)

Why Enter?
  • Compete for Cash Prizes: Top entries will be awarded cash prizes.
  • Gain Recognition: Winners will be showcased at Geo Week and featured in a Highlight Article in PE&RS.
  • Expand Your Skills: Work with cutting-edge AI technology and help address the community need for use cases and remote sensing.
  • Learn Industry Tools: Get experience performing GeoAI workflows and sharing your results using the ArcGIS platform.  Work with experts from Esri to get assistance with your project and learn best practices.  

Key Dates:
Deadline for Submission is January 5, 2026
Judging results will be announced on February 2, 2026
Winners to be showcased at Geo Week, February 16-18, 2026

Prizes:
$1,000 for First Place
$500 for Second Place
$250 for Third Place
Prize winning submissions will be displayed at Geo Week 2026 and highlighted in an article published in PE&RS in Spring 2026.

Group submissions are accepted, with prize money shared evenly across all contributors.​

Present your research at the ASPRS Annual International Technical Symposium!

8/29/2025

 
 Present your research at the ASPRS Annual International Technical Symposium! 
 
·    Deadline for submission: Monday, September 8.
·    Presenters will be informed of acceptance Monday, September 15.
·    Presenters must be registered for the event by Monday, September 22 to be included in the final program. Registration is free.
·    Materials for the Symposium website must be received by Monday, October 13.
 
This is an interactive virtual event. One week before the live event, presentation recordings will be posted to the Symposium website for public viewing. Viewers will be able to preview the presentations, post comments and questions, and vote on their favorite presentations using the website interface. During the live Symposium, there will be interactive sessions with authors where they can give a brief overview, answer questions, and engage in discussion. Presentation and discussion participation awards will be announced during the conference. 
 
Presentation Topics
We are seeking presentation abstracts based on ASPRS core disciplines in the collection, management, exploitation, and analysis of geospatial sources, data, and information. We are especially interested in contributions focused on the future of imaging and geospatial information technologies, which provide a glimpse of developments on the horizon. Individuals from government agencies, private firms and universities are all encouraged to submit abstracts in the following general topic areas:

·    Aerial Data Acquisition
·    AI and Machine Learning
·    Data Integration and Management
·    Data Visualization
·    Digital Twins
·    Photogrammetry
·    Point Cloud Processing
·    Reality Capture
·    Remote Sensing Image Analysis
·    Topobathymetric and Coastal Mapping
·    UAS/UAS Systems and Applications
·    Geospatial Workflows and Processes
·    Workforce Development

Presentation Type
The following basic options for presentation format are provided in the Abstract Submission form:
·    Oral Presentation (10 - 15 minutes)
·    Posters

Submission and Review
·    A MyASPRS account is required to access the Abstract Submission form and participate in the Symposium.
·    You do not have to be an ASPRS member to have a MyASPRS account. You may use a non-member account or create a free guest account when prompted.
·    The person planning to present should submit the Abstract Submission form. It will be tied to your conference registration record. Additional authors can be listed within the form and will appear in the program listing.

Conference Registration for Presenters
·    The Symposium will be free and open to all. A MyASPRS login will be required to attend live streaming sessions, post comments, and interact with other participants.

Publication of Proceedings
·    Presenters will be asked to provide prerecorded presentations, which will be shared after the event with all conference attendees through the Symposium website.
·    Presenters are also encouraged to submit full manuscripts, which will be published as Proceedings of the 2025 ASPRS International Technical Symposium (ITS).

Forest Disturbance Mapping via Remote Sensing w/ Conservation Science and Data Visualization (remote)

6/29/2025

 
Conservation Science and Data Visualization, LLC is seeking proposals from research teams with expertise in remote sensing, ecology, and forest disturbance to support a large-scale mapping initiative. The goal of this project is to produce and interpret high-quality maps of forest disturbance, by type, across ~216 million forested acres in the eastern U.S.. 

​We welcome participation from academic groups with experience in forest ecology, remote sensing, GIS, and machine learning. The selected awardee will join a team of contractors and academic researchers to develop remote sensing-based maps using high-quality training data from expert-delineated aerial photo-interpretation maps. This work will inform region-specific guidance for sustainable forest management practices on public and private lands.    

HOW TO APPLY
Contact Casey Lott at [email protected] with questions.
Proposals Due: September 1, 2025

The full RFP is available at: https://docs.google.com/document/d/1GgF6WuGqaocvPyEPhyXq6ChikKoWQ0Bc/edit?usp=sharing&ouid=115644049109226595186&rtpof=true&sd=true

Intro to the Integration of Animal Tracking and Remote Sensing: Open, Online NASA ARSET Training

5/9/2025

 
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: *Introduction to the Integration of Animal Tracking and Remote Sensing.*
This two-part training will provide participants with an overview of animal tracking sensors, NASA’s history of animal tracking, and the types of remote sensing data that can be paired with animal telemetry.*
 
Animals are sentinels of environmental change, and animal telemetry is a commonly used tool to quantify habitat use and help understand environmental changes. NASA data can be used to characterize the environmental parameters that infer the habitats that animals use. This training course will provide participants with an overview of animal tracking sensors, NASA’s history of animal tracking, and the types of remote sensing data that can be paired with animal telemetry. Because animal telemetry collects frequent animal location data, it is important to consider time-matched remote sensing in data analyses. In remote marine environments, for example, Level 3 and Level 4 products provide the most complete spatiotemporal coverage, such as OSCAR for ocean surface currents.
 
Participants will then learn how to integrate telemetry and remote sensing data by applying a basic data standardization process to animal tracking data, visualizing the animals’ distribution via home ranges with utilization distributions, downloading remote sensing data, and characterizing animals’ habitats in a species distribution model to infer habitat use. The balance of tradeoffs (spatiotemporal mismatches; computational power and time) from pairing remotely sensed data with animal
tracks will be discussed. Examples for both marine and terrestrial environments will be provided.
 
*Learning Objectives: *

1. Identify the types of animal tracking tags and sensors that are commonly used in animal tracking.
2. Identify the types of remote sensing data and products that can be used for species distribution models and step-selection functions.
3. Recognize the process for integrating remote sensing and animal tracking data in species distribution models and step selection functions to facilitate an understanding of animal movements in relation to their environment.
4. Recognize key takeaways from examples of terrestrial and marine applications that inform and characterize animals’ habitats.
 
*Course Dates:* May 20 & 22, 2025
 
*Time:* 12:00-13:30 EDT (UTC-4)

*To Register:* *https://go.nasa.gov/4iPMFWW <https://go.nasa.gov/4iPMFWW> *
 
*Audience:* This training is primarily intended for movement ecologists and natural resource managers. Remote sensing scientists developing products usable by the primary audience may also find this training of interest.

*Course Format:* Two 1.5-hour sessions including Q&A.

LiDAR / GIS Specialist (Utilities Vegetation Management) w/ NV5 (pdx)

3/27/2025

 
Overview
Are you a passionate geospatial professional driven to solve real-world challenges? Join NV5, a nationally recognized leader in geospatial technology, and become a key player in revolutionizing utility vegetation management. We're seeking a talented LiDAR/GIS Specialist to join our dynamic team and contribute to the safety and reliability of critical infrastructure. 

The LiDAR/GIS Specialist will support our analytics team and office by providing technical expertise and troubleshooting, with a strong focus on LiDAR applications for utility vegetation management programs. This role collaborates with domain experts and management on product innovation, workflow scalability, creative problem-solving, and business unit growth.
 

Additionally, the LiDAR/GIS Specialist will play a key role in driving technical growth across the organization, mentoring others in technical leadership, assisting with scope clarification for clients, and supporting client communications. This role requires a broad understanding of all team projects and the flexibility to provide support wherever needed.
 

The ideal candidate is comfortable working both independently and as part of a team, supporting data analysis within ArcMap, PLS-CADD, and MicroStation environments, including Bentley’s MicroStation while ensuring the final product meets client needs.
 

If you thrive in a collaborative environment, possess a strong analytical mindset, and are eager to leverage your expertise in ArcMap, PLS-CADD, and MicroStation, we want to hear from you!
 

Responsibilities
  • Process, analyze, and interpret LiDAR and GIS datasets to identify vegetation risks to utility assets.
  • Perform advanced classification, segmentation, and extraction of vegetation and infrastructure from LiDAR point clouds. 
  • Utilize remote sensing techniques to assess vegetation growth, encroachments, and risk factors, providing critical information for proactive management. 
  • Utilize ArcGIS, QGIS, PLS-CADD, MicroStation, and AutoCAD to visualize and analyze complex geospatial data. 
  • Develop scripts and automation tools (Python, SQL, FME) to streamline data processing and enhance efficiency. 
  • Integrate GIS and LiDAR workflows with asset management and work-order systems and explore cloud-based GIS platforms for optimal data management. 
  • Work closely with utility companies, vegetation management teams, and field crews to provide actionable insights and ensure project success. 
  • Assist in scope definition, project planning, and client communication, and provide training and mentorship to junior team members. 

​HOW TO APPLY
​https://careers-nv5.icims.com/jobs/10813/lidar---gis-specialist-utilities-vegetation-management/job?in_iframe=1

Remote Sensing/Spatial Ecology Intern w/Smithsonian Conservation Biology Institute (VA)

3/17/2025

 
Remote Sensing/Spatial Ecology Intern
The Conservation GIS Lab (https://nationalzoo.si.edu/conservation-ecology-center) at the Smithsonian Conservation Biology Institute (SCBI) is seeking interns to start immediately. The internship project will focus on exploring a combination of remote sensing space-borne lidar data (GEDI) and optical data (e.g., Sentinel or Landsat series) to classify and map vegetation types, specifically targeting understory bamboo and woody invasive plants.

Objectives: 
  • Pre-processing forest survey data and spatial datasets at a local or regional level
  • Extracting GEDI metrics using Google Earth Engine and Python or R
  • Extracting optical data metrics using Google Earth Engine and Python or R.
  • Building predictive spatial models for vegetation type classification using statistical analysis and machine learning algorithms.
  • Gain experience with the analysis of a wide range of remote sensing data, spatial data analysis, creating maps with various remote sensing data, and scientific communication.
Qualifications:
  • A Bachelor's degree is required, and a Master's degree is preferred.
  • Commitment to a full-time schedule of 40 hours per week.
  • Strong background in programming (Google Earth Engine (required) and Python (preferred) or R).
  • Knowledge of GIS (preferably ArcGIS or QGIS) and remote sensing analysis is desirable.
  • Strong writing skills (required)
  • Ability to conduct research independently while also collaborating effectively within a team environment.
Benefits:
  • A competitive stipend up to $1,600 monthly, based on education and experience.
  • Optional $9/day dormitory-style housing on the SCBI campus.
  • Interns will have access to a computer and reliable high-speed internet.
Location & terms of appointment:
  • On-campus internship in Front Royal, VA
  • Minimum commitment of six months, beginning as soon as possible, with priority to longer-term candidates.
  • Engaging with a cohort of fellow interns and researchers through regular meetings and communications

About SCBI:

The Smithsonian Conservation Biology Institute is located at the north entrance of the Shenandoah National Park in Front Royal, VA, about 60 miles west of Washington, D.C. Dedicated to promoting the conservation of biological diversity, SCBI not only furthers the Smithsonian Institution's broader objectives but also enriches our understanding by studying endangered species, habitats, and communities. Beyond research, SCBI plays an important role in sharing these insights through advanced studies, professional training programs, and public outreach.

HOW TO APPLY
How to apply:
  • Applications are open until the position is filled.
  • Apply via the Smithsonian SOLAA system (https://solaa.si.edu/solaa/#/public). Search for "Internship" under "National Zoological Park". The program name is "Conservation GIS Internship Program".
  • Submit a CV and a cover letter detailing: 
    • Statement of Interest
    • Potential start date and the duration of time you are available for the internship.
    • Contact information for three references.
    • Elaborate on your programming experience and skill as much as possible.
    • Please combine ALL following information in one pdf document and upload it as cover letter in the system.

WaterWatch event: Evening with Dan Coe 2/25 @ pm

2/24/2025

 
https://www.eventbrite.com/e/waterwatch-presents-an-evening-with-cartographer-daniel-coe-tickets-1206585613049

About this event
Stop by the Portland Filson store at 536 NW 13th Ave. on Tuesday, Feb. 25th, from 6 to 7:30 p.m. for a special evening with cartographer Daniel Coe, who has designed maps for National Geographic, High Country News, Atlas Obscura, and American Scientist, and who provided the striking LiDAR cover image of a portion of the Wild and Scenic stretch of the Rogue River on the cover of the fall issue of our Instream newsletter.

A remote sensing technique that uses laser pulses to create three-dimensional models of the earth's surface, LiDAR can be used to create stunning, detailed images of rivers and floodplains. These depictions, which straddle the boundary of art and science, often reveal previously unseen channels where rivers have flowed in the past. Daniel will discuss the making of that image and show several additional river graphics from Oregon and around the world, while exploring the stories behind these distinctive maps.

This event will be held on the first floor showroom of the Portland Filson store, which does require the use of several steps to access the storefront from some portions of the street. There is no parking lot for the facility. Street parking is limited, so be prepared to walk one or more blocks to attend, or utilize public transportation. Daniel has provided one (1) 12 x 18 print for WaterWatch to raffle off at the event, though he will also have his own materials for sale for those interested.
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