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Fresno State
Hometown: Fresno, California
Major: Civil Engineering and Geomatics
Year in School: Graduate Student
Expected Graduation: Fall 2022 Fresno State
Mentor: Dilruba Yeasmin, Research Scientist and Lecturer, Department of Civil and Geomatics Engineering
How did you become interested in this feld
of study?
I learned about this option in my fnal year of
undergraduate study, and it intrigued me so I decided to
go back for my master’s degree in that feld. I have not
regretted it. I am learning new things everyday about how
surveys are conducted, roads are created, pipelines are
constructed, etc. The job security was also a factor in
choosing this major.
What is the title of the ARI project you are
working on?
“Water-Smart Planning: A Satellite Imagery-based Remote
Sensing Approach to Evaluate Crop Water Status in
California Orchards for Future Sustainability”
Briefly describe your project and why it is
important to California agriculture or natural
resources.
Due to California’s persistent drought condition, improving
water use effciency in agricultural is extremely important.
Use of imageries captured by drones is relatively new in
agriculture. Drone-based imagery captures still have some
limitations due to cost and, sometimes, accuracy. However,
the advantage of drone-based imagery is that it can offer
almost real-time feld monitoring to assess crop health
status and crop stress level due to a lack of water and
nutrient defciencies. However, long-term regional scale
monitoring is also important for management and planning.
In the public domain, there are multiple decades of satellite
imageries available from different federal agencies that can be utilized to identify long-term trends of crop water
status in California orchards. In this ARI project, we are
using satellite imagery and data sets to analyze statewide
orchard crop water status. The analysis will allow us to
correlate the water status with crop production, which
will be helpful to growers and water managers to improve
water use effciency.
Why are you interested in this project?
I am interested in this project because I want to further
explore remote sensing data and imagery. I am particularly
interested in how these technologies can help us develop
a comprehensive, accurate and cost-effective method
to monitor crop water stress levels. I am interested in
drone-based surveying as well, which can also be used to
improve agricultural water management.
Describe your role as you’ve conducted research
in this ARI project.
My role in this project is to help collect, process and
analyze multiyear satellite imagery-based data. I am
also helping to analyze drone-based aerial images. I am
a certifed drone pilot and am planning to help collect
unmaned aerial vehicle-based images for this project
during the summer and fall.
What do you hope to learn, or have you learned,
through your involvement with this ARI project?
I learned about all kinds of remote sensing-based satellite
imagery data sets, how to collect and process them and
how to generate different vegetation indices. I hope to
learn more about drone-based imagery capture and image
interpretation from this project.
What are you doing now that you’ve graduated
and how did working on this ARI project help
you?
I am currently working as a survey technician at an
engineering company in Fresno. I plan to continue working
with the company after graduation. This project helped me
in getting my remote pilot’s license and this will likely help
me in my current engineering job.
Is there anything else you would like to
share with us regarding your background and
interests?
I am an offcer of the Society of Women Engineers.
What did you fnd most rewarding about the ARI
program?
Working on this project allowed me to prepare for and
take the remote pilot’s license examination, which allowed
me to work as the drone pilot for the project. I used some
of the data generated from this project as my research
data for my master’s thesis. During this project, I met and
learned from an experienced drone pilot and learned
how to work with high-quality drones and high-resolution
imagery.