USDA-ARS Fellow Remote Sensing of Agricultural Conservation Practices
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Job Detail
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Offered Salary 0
Job Description
Qualifications
- Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program participation
- The qualified candidate should be currently pursuing or have received a master’s or doctoral degree in the one of the relevant fields
- Degree: Master’s Degree or Doctoral Degree
- Computer, Information, and Data Sciences (17 )
- Earth and Geosciences (21 )
- Engineering (12 )
- Environmental and Marine Sciences (14 )
- Life Health and Medical Sciences (8 )
- Mathematics and Statistics (11 )
- Physics (6 )
- Social and Behavioral Sciences (4 )
Benefits
- Anticipated Appointment Start Date: January 15, 2025. Start date is flexible and will depend on a variety of factors
- Appointment Length: The appointment will initially be for two years but may be renewed upon recommendation of ARS and is contingent on the availability of funds
- Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience
- Participants do not become employees of USDA, ARS, DOE or the program administrator, and there are no employment-related benefits
- Health insurance can be obtained through ORISE
Responsibilities
- Conservation tillage and cover crop hold promise to cut substantial carbon emissions and are widely adopted and planned in the Chesapeake Bay Watershed to improve water quality
- This project is funded by NASA to develop a Carbon Monitoring System for the Chesapeake Bay Watershed (CMS-CBW) to monitor the changes in major carbon budget components on land and in freshwaters. Under guidance of a mentor the major tasks may include:
- Enhance Soil and Water Assessment Tool – Carbon (SWAT-C) to better represent the coupled terrestrial-aquatic carbon cycling at the watershed scale;
- Develop cropland tillage and cover crop maps over the entire CBW by leveraging multi-source remote sensing data (e.g., Landsat, Sentinel-2, WorldView-3) and field observations;
- Integrate the newly developed tillage and cover crop maps and other remote sensing data (e.g., MODIS, ECOSTRESS, ICESat-2 , GEDI, OCO-2 and -3, SWOT, and SMAP) to constrain the SWAT-C model;
- Assess impacts of historical and future agricultural conservation on carbon sources and sinks in both terrestrial (e.g., biomass, soil organic carbon, and lateral carbon fluxes) and freshwater (e.g., burial, outgassing, and export) ecosystems; and
- Collaborate to prioritize critical ecosystem restoration projects that maximize synergies while limiting trade-offs among climate and other social and environmental goals (e.g., water quality)
- Learning Objectives: This fellowship affords the opportunity for the participant to gain experience in:
- Conducting research within a group of scientists using satellite remote sensing images to map wintertime vegetative ground cover and springtime crop residue fractional cover
- Evaluating the efficacy of sustainable agricultural practices (e.g., cover crops and conservation tillage) for on carbon sequestration and cycling at a landscape scale through collaboration with watershed modeling scientists
- Applying new scientific knowledge to support decision making regarding watershed conservation management under climate change
- Mentor(s): The mentors for this opportunity are Dr
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