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Spring 2022: Realtime drought monitoring with satellite remote sensing

Affiliations: Aggie Research Mentoring Program
Project Leader: Vinit Sehgal
vinit@tamu.edu
Biological and Agricultural Engineering
Faculty Mentor: Binayak Mohanty, Ph.D.
Meeting Times:
Weekly meetings (virtual or in-person) are encouraged. Timing will be decided based on the schedule of the selected candidates
Team Size:
3
Open Spots: 0
Special Opportunities:
The team members will have the opportunity to learn and work with large-scale geospatial computation and visualization, drought risk management, policy and scientific aspects of water management. The team members will have access to the wide array of research in our lab related with soil health, contaminant transport, physical modeling, among other cutting-edge topics. We encourage the students to plan and present their work at national conferences and prepare manuscripts for possible publication.
Team Needs:
Based on your interest, we have openings for the following
• Geospatial analyst (2): Familiarity with R/Python coding is encouraged. However, we can provide training resources to interested candidates to learn R for necessary tasks. GIS applications like ArcMap/ QGIS are also encouraged but not necessary,
• Communication coordinator (1): Scientific communication using social media posts or blogs to raise awareness about flash droughts, the FLASH platform and the art and the science behind early warning of droughts using FLASH.
• Webmaster (1): Dynamic website designing with option to host and view geospatial dataset.
• Technical coordinator (1): Cloud computing, data management and sharing mechanism for global drought dataset generated using FLASH platform.
Description:
This is a NASA-funded project to develop open-source tools for global flash drought monitoring using satellite soil moisture. The team will work on a state-of-the-art platform, FLASH, designed for real-time, automated global flash drought assessment (https://vadosezone.tamu.edu/flash/). The team will monitor global drought conditions, design regular early-warning updates, and communicate with the stakeholders through our social media platforms. We are looking for passionate students interested in natural hazard management using hydrology and remote sensing with skills in (or strong interest in learning) geospatial analysis in R/Python, science communication, website designing, data analysis and cloud computing.

 

Written by:
Andrew McNeely
Published on:
December 23, 2021

Categories: FullTags: Spring 2022

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