Operationalizing multiscale SAR metrics for rapid forest disturbance assessment

Award Information
Agency: Department of Agriculture
Branch: N/A
Contract: 2016-33610-25687
Agency Tracking Number: 2016-03968
Amount: $600,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.1
Solicitation Number: N/A
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-01
Award End Date (Contract End Date): 2019-05-31
Small Business Information
87 PACKERS FALLS RD, Durham, NH, 03824-0000
DUNS: 091440904
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Nathan Torbick
 (603) 292-1192
Business Contact
 William Salas
Title: President
Phone: (603) 292-5747
Email: wsalas@agsemail.com
Research Institution
Demand for mapping forest disturbance and structural characteristics exists from USDA and Federal programs, industry, and international programs such as REDD. Applications range from operational forestry, assessing carbon sequestration, monitoring wildlife habitat, weather and disaster response, infestations, gauging forest productivity, and evaluating programs such as Environmental Quality Incentives Program (EQIP), Easements, FIA, and state management plans. There is an opportunity to operationalize multiscale Synthetic Aperture Radar (SAR) data to generate metrics of stand structure and spatiotemporal changes. Specifically, this SBIR Phase II is to prototype an automated system and scale products for above ground biomass, forest stand height, crown canopy cover, and disturbance detection using multiscale SAR. During Phase II we build on previous work and leverage ongoing partnerships with USDA USFS and space agencies (NASA, USGS, JAXA, ISRO). Our focused Phase II builds on Phase I case studies by conducting a coordinated campaign of near-simultaneous collection of field data, SAR, and Lidar in partnership with USFS; adds the recently launched operational Sentinel C-band satellites; and scales products to larger areas in a robust and automated approach. We considered recommendations from Phase 1 reviews, Science Advisory Panel feedback, and the most promising outcomes from Phase 1. The long-term (Phase III) vision is to 1.) provide disturbance mapping services, 2.) build and offer robust Monitoring, Reporting, and Verification (MRV) forest metrics derived from multiscale SAR, and 3.) develop Public Private Partnerships (PPP) to support regional, Federal (USFS, NASA, EPA), and international programs centered on monitoring forest disturbances and characterizing ecosystems services.

* Information listed above is at the time of submission. *

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