Development, Processing, and Distribution of Satellite Data Products for Monitoring Landscape Processes in Alaska National Parks (FY2013)
This announcement is to provide public notice of the National Park Service (NPS), intention to fund the following project with University of Alaska Fairbanks under a Cooperative Ecosystem Studies Unit (CESU) program. CES...
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Award amount
$1k–$50k
Deadline
Fixed
Total pool
$50k
About this opportunity
This announcement is to provide public notice of the National Park Service (NPS), intention to fund the following project with University of Alaska Fairbanks under a Cooperative Ecosystem Studies Unit (CESU) program. CESUs are partnerships that provide research, technical assistance, and education. The project intended award is $49,686. STATUTORY AUTHORITY: Agreements Concerning Cooperative Research and Training on NPS Resources (16 § 1a-2(j)): The Secretary may enter into agreements with public or private educational institutions, States and their political subdivisions, for the purpose of developing research and training programs concerning the resources of the National Park System, and pursuant to such agreements, to accept from and make available to the cooperator such technical and support staff, financial assistance for mutually agreed upon research projects, supplies and administrative services relating to cooperative research units as the Secretary deems appropriate. This project will establish a collaborative effort between the National Park Service (NPS) Alaska Region Inventory and Monitoring Program (AKR I&M) and the University of Alaska Fairbanks (UAF) Geographic Information Network of Alaska (GINA). The project will augment GINA¿s current satellite data holdings with Vegetative Greenness (NDVI) and Snow products, which are currently being used to monitor landscape processes by NPS staff within the AKR I&M. This collaborative effort seeks to build upon on-going work between NPS and GINA. The project will leverage GINA¿s expertise in satellite data distribution, and it will streamline procedures employed by AKR I&M to measure ecological processes such as the onset and freeze-up of ice on large freshwater bodies, pattern and timing of snow cover, as well as determining trends in vegetative growing seasons. This project is a continuation of recent collaborative studies between AKR I&M and GINA which emphasized the distribution of historical NDVI and Snow products from MODIS and AVHRR satellite sensors. STATEMENT OF JOINT OBJECTIVES/PROJECT MANAGEMENT PLAN The intent of this project is to continue collaborative efforts between the AKRO I&M and GINA to augment GINA¿s AVHRR and MODIS holdings with current NDVI and Snow metrics products. In addition to maintaining MODIS archives and metric products by GINA, the project will also produce AVHRR-derived NDVI and Snow metrics for the NPS Alaska Region. This collaborative effort will once again leverage GINA¿s expertise in satellite data distribution capabilities of AVHRR and MODIS satellite imagery, and streamline procedures currently employed by NPS I&M staff when measuring the onset and freeze-up of ice on large freshwater bodies, pattern and timing of snow cover, and trends and changes in vegetation growing season. There will be four primary objectives of the project ¿ Update existing MODIS NDVI and Snow metric products with the most recent year¿s data ¿ Develop an AVHRR processing algorithm to generate NDVI metrics for Alaska ¿ Evaluate AVHRR satellite sensor data for the production of snow metrics for Alaska ¿ Distribute satellite imagery, including derived snow and NDVI metrics data, to NPS and public users through Web Coverage Services (WCS), HTTP, and FTP mechanisms. RECIPIENT INVOLVEMENT UAF-GINA will perform the following: 1. MODIS NDVI Metrics Delivery: Updates to MODIS NDVI metrics will include the estimation of a threshold greenness beyond the start of season ( date of 20% of maximum NDVI). Maintenance of the data stack will include processing of the most recent year¿s NDVI metrics, to be updated annually. Working in coordination with NPS I&M staff, GINA will develop and serve the data products to NPS staff using publicly available WCS/WMS feeds and a designated, publicly accessible FTP site. a. Outcome: NDVI metrics algorithm sub-routine to include the estimation of a threshold greenness beyond the start of season ( date of 20% of maximum NDVI). b.
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