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Salary: Souix Falls, SDLearn more about this agency
74,721 (Step 01) to $99,741 (Step 10).
Salary: Santa Barbara, CA
87,612 (Step 01) to $113,900 (Step 10).
NOTE: First time hires to the Federal Government are typically hired at the Step 01.
There is one vacancy; however, this announcement may be used to fill additional vacancies if they become available.
Mendenhall Research Fellowship - Research Opportunity #: 19-39. Land Change Monitoring, Assessment, and Projection (LCMAP): Translating imagery and weather into predictions of surface reflectance
To detect change, the CCDC algorithm compares a prediction of surface reflectance based on past satellite observations with new satellite observations. This approach can be used to predict surface reflectance in the future, but these predictions do not include the effect of weather conditions or anomalous land surface conditions. Research into the utilization of land surface state, weather observations, and seasonal forecasts to improve predictions of satellite surface reflectance observations has the potential to contribute to the development of a new outlook product.
We seek proposals that focus on developing statistical and/or machine learning-based outlooks for satellite observations, and evaluating the skill of these algorithms in a variety of geographic locations. Outlooks that produce a short-term future forecast can serve as the basis of important derived products (such as vegetation indices or fire potential indices) that support activities like rangeland management, ranching decisions, and fire danger prediction. While prior research has focused on focused on the forecast of surface reflectance derivatives, such Normalized Difference Vegetation Index values (e.g. Funk and Brown, 2006), this project will pursue the exciting and novel idea of predicting the surface reflectance values themselves. This could lead to numerous opportunities for derived products.
Geographically, initial research is ideally focused within the United States. Strong candidates are expected to have technical skills applicable to remote sensing and data analysis. The postdoctoral fellow will have opportunities to collaborate with university partners as well as the LCMAP team at the USGS EROS. The Fellow will also be supported by resources and scientists at the University of California, Santa Barbara Climate Hazards Center (chc.ucsb.edu) and the EROS Early Warning team. Tools to investigate the extensive Landsat archive are being developed at EROS and will be available to support research. This Mendenhall Research Fellowship is an excellent opportunity to participate with a multidisciplinary team in a large-scale remote sensing project.
Proposed Duty Station: Sioux Falls, SD or Santa Barbara CA
Areas of Ph.D: Meteorology, remote sensing, geography, or related fields (candidates holding a Ph.D. in other disciplines, but with extensive knowledge and skills relevant to the Research Opportunity may be considered).
Qualifications: Applicants must meet the qualifications for: Research Physical Scientist or Research Geographer
(This type of research is performed by those who have backgrounds for the occupations stated above. However, other titles (see link below) may be applicable depending on the applicant's background, education, and research proposal. The final classification of the position will be made by the Human Resources specialist.)
Mendenhall Basic Qualification Requirements:
Physical/Environmental Demands: Work is usually performed in an office setting. The work area normally involves everyday risks or discomforts that require normal safety precautions typical of offices or meeting and training rooms.
Occasional travel - You may be expected to travel for this position.
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This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/580508600. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.