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Drought Monitoring with Drones: A Hundred Fields at a TimeDrought frequency and severity are likely to increase due to global warming. Droughts
already have a substantial negative influence on agriculture and the economy and finding ways to reduce their effects could have a monumental impact. Although NASA already has satellites deployed to collect drought data, these satellites are more for global drought indexing than local.

To alleviate droughts on a local level, this paper proposes the use of drones to map soil moisture, plant health, and other drought indicators. The proposed drone design is a fixed-wing UAV equipped with a hyperspectral camera, a LiDAR sensor, and an array of weather sensors. These tools will permit it to reliably capture the necessary data to enhance suggestions on improving drought management practices.

The collected data from the drones will be deployable in many ways, including for
agricultural and non-agricultural applications. The hyperspectral camera has applications in monitoring the health of crops within a field to direct relief measures to the crops most in need. Thermal and LiDAR imaging can be deployed for locating leaks, predicting shortages of water bodies, and determining a field’s water needs.

To implement a drought-monitoring drone, the recommended steps include building a
prototype drone design that is equipped with the outlined instruments. The prototype drone could then be deployed to collect training data to guide a neural network that would provide interpretations and predictions from the data for users. After the prototype design is iterated upon, it will be ready for deployment and inform water management methods to serve the world in our battle against drought.
Document ID
20220014853
Acquisition Source
Ames Research Center
Document Type
Technical Memorandum (TM)
Authors
Moyer, W.
(Lakewood High School)
Patil, N.
(William B Travis High School)
Toffoli, E.
(Terra Environmental Research Institute)
Hadi, N.
(William B Travis High School)
Guan, A.
(High Technology High School )
Goings, S.
(Clear Falls High School)
Date Acquired
September 30, 2022
Publication Date
November 4, 2022
Subject Category
Earth Resources And Remote Sensing
Cybernetics, Artificial Intelligence And Robotics
Funding Number(s)
PROJECT: NASA VIP Interns
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
climate change
UAVs
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