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Temporary Student Intern for Soil Moisture Assessment

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Sustainability
  • Asheville
    Remote

AI generated summary

  • You should be a motivated undergraduate with soil moisture data experience, able to analyze trends, conduct statistical comparisons, and visualize results for agricultural drought and wildfire risk assessments.
  • You will evaluate soil moisture data, analyze vegetation health trends, calculate metrics, conduct statistical comparisons, and assist in visualizations for reports and presentations.

Requirements

  • Motivated undergraduate students
  • Experience working with soil moisture data related to agriculture, drought monitoring, and wildfire risk assessment
  • Utilize their education and background
  • Evaluate SMAP-based FAW alignment with ground-based observations
  • Attention to regional variation across the U.S.
  • Explore FAW value correspondence with indicators of vegetation stress
  • Potentially improve early detection of agricultural drought or wildfire risk
  • Calculate FAW and Critical Theta metrics using remote and in situ data
  • Conduct statistical comparisons between datasets at multiple geographic scales
  • Analyze spatial and temporal trends in vegetation health using satellite-based vegetation indices
  • Interpret results and assist with preparing visualizations, maps, or figures for presentations and reports
  • Participate in regular meetings with research mentors
  • Contribute to collaborative discussions

Responsibilities

  • Evaluate SMAP-based FAW alignment with ground-based observations, with attention to regional variation across the U.S.
  • Explore FAW value correspondence with indicators of vegetation stress, potentially improving early detection of agricultural drought or wildfire risk.
  • Calculate FAW and Critical Theta metrics using remote and in situ data.
  • Conduct statistical comparisons between datasets at multiple geographic scales.
  • Analyze spatial and temporal trends in vegetation health using satellite-based vegetation indices (e.g., NDVI).
  • Interpret results and assist with preparing visualizations, maps, or figures for presentations and reports.
  • Participate in regular meetings with research mentors and contribute to collaborative discussions.

FAQs

What is the job title for this internship?

The job title is Temporary Student Intern for Soil Moisture Assessment.

Where is the internship located?

The internship is located in Asheville, NC.

How long is the appointment for this internship?

The appointment length is 11 months.

What type of position is this internship?

This internship is classified as a temporary position.

What will the intern(s) be focusing on during the internship?

The intern(s) will focus on comparing remotely sensed and ground-based soil moisture measurements and their relationship to vegetation health across different regions of the U.S.

What types of data will the intern(s) be working with?

The intern(s) will be working with soil moisture data related to agriculture, drought monitoring, and wildfire risk assessment.

What metrics will the intern(s) evaluate during the internship?

The intern(s) will evaluate Fractional Available Water (FAW) and Critical Theta (CT) metrics.

Will the intern(s) analyze spatial and temporal trends in vegetation health?

Yes, the intern(s) will analyze spatial and temporal trends in vegetation health using satellite-based vegetation indices, such as NDVI.

Are there opportunities for collaboration during the internship?

Yes, the intern(s) will participate in regular meetings with research mentors and contribute to collaborative discussions.

Is prior experience required for this internship?

The internship seeks motivated undergraduate students, implying that a relevant educational background is preferred, but specific prior experience may not be required.

Can the intern(s) expect to contribute to presentations and reports?

Yes, the intern(s) will assist with interpreting results and preparing visualizations, maps, or figures for presentations and reports.

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