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The NASA Applied Remote Sensing Training (ARSET) program has launched a new online no-cost training series: Species Distribution Modeling with Google Earth Engine.
Click this link to register for the training: https://go.nasa.gov/4v6asbj TRAINING INFORMATION: Species Distribution Modeling with Google Earth Engine Species distribution models (SDMs), sometimes referred to as ecological niche or habitat suitability models, are a commonly used analytical technique to link known species locations with environmental predictor variables and assess patterns of species occurrence and habitat suitability. SDMs have been successfully used to model the distributions of various species, from butterflies to baleen whales, with a goal of using associations with habitat variables — such as elevation, vegetation greenness, or distance to human settlements — to map the potential distribution to a species across a landscape or seascape. To implement SDMs, we will fit models using Google Earth Engine (GEE), a cloud-based spatial analysis platform that can simplify the process of accessing and analyzing huge quantities of remotely sensed data. This course begins by introducing key SDM concepts for participants working in ecology, conservation, or wildlife biology. The course then provides a basic introduction to Google Earth Engine (GEE) and JavaScript coding, before moving on to spatial data manipulation and example workflows for species distribution mapping in GEE. Participants need no prior experience working with GEE, but we assume participants have a basic understanding of GIS data and concepts, such as rasters (including stacks or multi-band images), vectors, projections, and spatial resolution. Course Dates: July 7 &14, 2026 Time: Session A: 9:00 a.m. to 10:30 a.m. EDT (UTC-4); Session B: 4:00 p.m. to 5:30 p.m. EDT (UTC-4) Register Today: https://go.nasa.gov/4v6asbj Note: Those who attend both parts live and complete the required homework by the deadline will receive a certificate of completion for the training. Seeking a Remote Sensing Analyst for a conservation agriculture project mapping tillage intensity and cover crop performance within the Chesapeake Bay Watershed. Looking to hire an analyst to complete project deliverables, and add to existing workflow programmed in python uhsing jupyter notebooks within a google colab environment. Guidance will be provided to direct specific work objectives. Impactful outcomes serve stakeholders in the Chesapeake Bay conservation community. Ideal candidate has experience with python programming and workflows to support remote sensing cal/val, and can begin immediately.
This is a short-term contract without benefits, 20-40 hours per week through December 2026. If interested, please email CV and transcripts to Dr. Brian Lamb ([email protected]), on a short timeframe. Office Locations: Sacramento, CA
Salary: Full time, including benefits $85,000 - $110,000 depending on experience https://www.landiq.com/careers Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.). The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. This is an environmental consulting position requiring ability to develop analysis approaches/methodology and work within a team to optimize methods. The applicant must have good communication skills, readily work in a team environment, demonstrate ability to manage multiple tasks and perform work on time and within budget resources. Land IQ specializes in providing solutions to challenging agricultural and environmental problems throughout the western United States. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy. 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. Link to register: https://www.eventbrite.com/e/2025-asprs-cascadia-technical-exchange-tickets-1711332033179?aff=oddtdtcreator  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?
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!
· 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). 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 Training5/9/2025
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. |
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