Opportunity Information: Apply for NPS NOIP17AC00585
The Landscape Change Detection with National Inventory and Monitoring Networks in support of Landscape Dynamics Monitoring (GLKN) opportunity is a National Park Service (NPS) cooperative agreement designed to strengthen how the NPS Inventory and Monitoring (I&M) networks detect and track landscape change over time. The award centers on improving and modernizing a proven change-detection approach called LandTrendr, originally developed at Oregon State University (OSU) by Robert Kennedy, and on updating a related validation tool called TimeSync. In practical terms, the grant is meant to keep long-term landscape monitoring programs running smoothly as software platforms and computing practices evolve, while also making these methods easier for others outside the NPS to use.
The core objective is to advance the research and operational capabilities behind change detection that the I&M networks already depend on for long-term monitoring. LandTrendr is used to identify and characterize landscape disturbances and trends from satellite imagery time series, which is critical for understanding events like vegetation change, disturbance footprints, and recovery patterns across park landscapes. Because the I&M networks rely on this workflow for consistent, repeatable monitoring, the agreement focuses on ensuring the tools do not become outdated or difficult to run as technology shifts. A major modernization described in the opportunity is moving LandTrendr workflows toward cloud computing, specifically through Google Earth Engine, which is expected to increase processing speed, reduce the need for local data storage at network offices, and remove the requirement for high-end local computing hardware.
A second major component is TimeSync, a companion stand-alone program developed at OSU that is used to validate disturbances identified by LandTrendr. Validation is essential in change detection work because it helps confirm whether algorithm-detected changes are real and correctly interpreted. The opportunity notes that TimeSync needs an upgrade to remain compatible with current Windows operating systems, specifically calling out Windows 10 compatibility. Keeping this validation tool functional helps ensure the monitoring outputs remain credible and scientifically defensible over time.
The statement of work spells out what OSU, as the recipient, is expected to deliver. First, OSU will provide the computer code needed to run LandTrendr through Google Earth Engine, along with a documented workflow explaining how to use it in that environment. Second, OSU will provide code that converts LandTrendr output products from raster-based change maps into polygon features representing areas of change, which is a common need for reporting, mapping, and integrating results into GIS-based planning and management workflows. Third, OSU will deliver an updated version of TimeSync that works on Windows 10 and will produce clear documentation on how to install and run the updated TimeSync software, supporting consistent adoption across staff and offices.
NPS responsibilities emphasize collaboration rather than simply receiving a finished product. NPS staff will support development, testing, and deployment of the tools and code produced by OSU, helping ensure the outputs match real operational monitoring needs. NPS will also provide training data required to test and validate the code and software tools, which is important for checking accuracy, usability, and performance under real conditions. Beyond development, NPS commits to helping distribute the tools, code, and process knowledge to the public, reflecting an intent to broaden the impact beyond internal NPS users. NPS also plans to orient park natural resource managers and other interested I&M staff to the improved tools, which supports wider uptake and makes it more likely the updated workflows become standard practice across parks and networks.
Administratively, this is a discretionary funding opportunity offered by the U.S. Department of the Interior, National Park Service, using a cooperative agreement instrument, which typically indicates substantial involvement by the federal agency in carrying out the project. The opportunity (Funding Opportunity Number NPS NOIP17AC00585) was created May 17, 2017, with an original closing date of May 31, 2017. It listed an award ceiling of $250,000 and anticipated a single award. The activity aligns with education, environment, natural resources, science and technology, and other research and development categories, and is associated with CFDA 15.945. Overall, the opportunity is best understood as a targeted effort to keep key satellite-based landscape change monitoring tools current, faster, easier to run, and more broadly accessible, while protecting continuity in long-term NPS monitoring programs.Apply for NPS NOIP17AC00585
- The Department of the Interior, National Park Service in the education, environment, natural resources, science and technology and other research and development sector is offering a public funding opportunity titled "Landscape Change Detection with National Inventory and Monitoring Networks in support of Landscape Dynamics Monitoring- GLKN" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.945.
- This funding opportunity was created on May 17, 2017.
- Applicants must submit their applications by May 31, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $250,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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Frequently Asked Questions (FAQs)
What is the "Landscape Change Detection with National Inventory and Monitoring Networks in support of Landscape Dynamics Monitoring (GLKN)" opportunity?
It is a National Park Service (NPS) cooperative agreement intended to strengthen how NPS Inventory and Monitoring (I&M) networks detect and track landscape change over time. The work focuses on modernizing and sustaining a long-running change detection workflow so it remains reliable and usable as software platforms and computing practices evolve.
Which federal agency is offering this grant opportunity?
The opportunity is offered by the U.S. Department of the Interior, National Park Service (NPS).
What type of funding instrument is being used?
This opportunity uses a cooperative agreement, which typically involves substantial federal agency involvement in carrying out the project (not just accepting final deliverables).
Is this a discretionary funding opportunity?
Yes. The posting describes it as a discretionary funding opportunity.
What is the Funding Opportunity Number?
The Funding Opportunity Number is NPS NOIP17AC00585.
When was the opportunity created and when did it close?
The opportunity was created on May 17, 2017, with an original closing date of May 31, 2017.
What is the maximum award amount (award ceiling)?
The award ceiling listed is $250,000.
How many awards were anticipated?
The opportunity anticipated a single award.
What CFDA number is associated with this opportunity?
The opportunity is associated with CFDA 15.945.
What program areas or categories does this work align with?
The opportunity aligns with education, environment, natural resources, science and technology, and other research and development categories.
What is the main purpose of the project?
The central purpose is to advance research and operational capabilities for landscape change detection that NPS I&M networks depend on for long-term monitoring, while ensuring the tools stay current and easier to operate as technology changes.
What is LandTrendr and what is it used for?
LandTrendr is a change-detection approach used to identify and characterize landscape disturbances and trends from satellite imagery time series. In practical monitoring terms, it supports understanding vegetation change, disturbance footprints, and recovery patterns across park landscapes.
Why does LandTrendr need modernization under this agreement?
The I&M networks rely on LandTrendr for consistent, repeatable monitoring. The agreement is meant to prevent the workflow from becoming outdated or difficult to run as software platforms and computing practices evolve, helping protect continuity in long-term monitoring programs.
What modernization direction is specifically highlighted for LandTrendr?
The opportunity specifically describes moving LandTrendr workflows toward cloud computing through Google Earth Engine.
What benefits are expected from moving LandTrendr to Google Earth Engine?
The expected benefits include increased processing speed, reduced need for local data storage at network offices, and removing the requirement for high-end local computing hardware.
What is TimeSync and how does it relate to LandTrendr?
TimeSync is a companion stand-alone program developed at Oregon State University (OSU) used to validate disturbances identified by LandTrendr. Validation helps confirm whether detected changes are real and correctly interpreted.
Why is validation (via TimeSync) emphasized in this opportunity?
Validation is described as essential because it supports credibility and scientific defensibility of change-detection results by checking whether algorithm-detected changes are accurate and properly interpreted over time.
What specific upgrade is needed for TimeSync?
The opportunity notes that TimeSync needs an upgrade to remain compatible with current Windows operating systems, specifically calling out Windows 10 compatibility.
Who originally developed LandTrendr and TimeSync?
Both tools are associated with Oregon State University (OSU). LandTrendr was originally developed at OSU by Robert Kennedy, and TimeSync is described as a companion stand-alone program developed at OSU.
Who is expected to deliver the technical products under the statement of work?
OSU, as the recipient, is expected to deliver the key software/code deliverables and documentation described in the statement of work.
What are the required deliverables related to LandTrendr?
The statement of work specifies that OSU will provide (1) the computer code needed to run LandTrendr through Google Earth Engine and (2) a documented workflow explaining how to use LandTrendr in that environment.
Is there a deliverable related to converting LandTrendr results into GIS-ready formats?
Yes. OSU is expected to provide code that converts LandTrendr output products from raster-based change maps into polygon features representing areas of change, supporting reporting, mapping, and integration into GIS-based planning and management workflows.
What are the required deliverables related to TimeSync?
OSU is expected to deliver an updated version of TimeSync that works on Windows 10, along with clear documentation explaining how to install and run the updated TimeSync software.
What role does NPS play during the project?
NPS responsibilities emphasize collaboration. NPS staff will support development, testing, and deployment of the tools and code produced by OSU to ensure the outputs match operational monitoring needs.
Will NPS provide any data to support development and testing?
Yes. NPS will provide training data required to test and validate the code and software tools, supporting checks on accuracy, usability, and performance under real conditions.
Is the project intended to benefit users outside the National Park Service?
Yes. The opportunity states an intent to make the methods easier for others outside the NPS to use, and NPS commits to helping distribute the tools, code, and process knowledge to the public.
Will there be any orientation or knowledge sharing within NPS?
Yes. NPS plans to orient park natural resource managers and other interested I&M staff to the improved tools, supporting wider uptake across parks and networks.
How does this opportunity support long-term monitoring continuity?
By modernizing key change-detection and validation tools (LandTrendr and TimeSync), improving documentation and workflows, and adapting the approach to cloud computing, the project is designed to keep long-term monitoring programs running smoothly as technology shifts.
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