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Full-Text Articles in Engineering
Incorporation Of Unmanned Aerial Vehicle (Uav) Point Cloud Products Into Remote Sensing Evapotranspiration Models, Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, William P. Kustas, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Lynn Mckee, Joseph Alfieri, Lawrence E. Hipps, Calvin Coopmans, Nick Dokoozlian
Incorporation Of Unmanned Aerial Vehicle (Uav) Point Cloud Products Into Remote Sensing Evapotranspiration Models, Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, William P. Kustas, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Lynn Mckee, Joseph Alfieri, Lawrence E. Hipps, Calvin Coopmans, Nick Dokoozlian
Civil and Environmental Engineering Faculty Publications
In recent years, the deployment of satellites and unmanned aerial vehicles (UAVs) has led to production of enormous amounts of data and to novel data processing and analysis techniques for monitoring crop conditions. One overlooked data source amid these efforts, however, is incorporation of 3D information derived from multi-spectral imagery and photogrammetry algorithms into crop monitoring algorithms. Few studies and algorithms have taken advantage of 3D UAV information in monitoring and assessment of plant conditions. In this study, different aspects of UAV point cloud information for enhancing remote sensing evapotranspiration (ET) models, particularly the Two-Source Energy Balance Model (TSEB), over …
The Impact Of Shadows On Partitioning Of Radiometric Temperature To Canopy And Soil Temperature Based On The Contextual Two-Source Energy Balance Model (Tseb-2t), Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, Hector Nieto, William Kustas, Calvin Coopmans
The Impact Of Shadows On Partitioning Of Radiometric Temperature To Canopy And Soil Temperature Based On The Contextual Two-Source Energy Balance Model (Tseb-2t), Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, Hector Nieto, William Kustas, Calvin Coopmans
AggieAir Publications
Tests of the most recent version of the two-source energy balance model have demonstrated that canopy and soil temperatures can be retrieved from high-resolution thermal imagery captured by an unmanned aerial vehicle (UAV). This work has assumed a linear relationship between vegetation indices (VIs) and radiometric temperature in a square grid (i.e., 3.6 m x 3.6 m) that is coarser than the resolution of the imagery acquired by the UAV. In this method, with visible, near infrared (VNIR), and thermal bands available at the same high-resolution, a linear fit can be obtained over the pixels located in a grid, where …
Evaluation Of Tseb Turbulent Fluxes Using Different Methods For The Retrieval Of Soil And Canopy Component Temperatures From Uav Thermal And Multispectral Imagery, Héctor Nieto, William P. Kustas, Alfonso F. Torres-Rúa, Joseph G. Alfieri, Feng Gao, Martha C. Anderson, W. Alex White, Lisheng Song, María Del Mar Alsina, John H. Prueger, Mac Mckee, Manal Elarab, Lynn G. Mckee
Evaluation Of Tseb Turbulent Fluxes Using Different Methods For The Retrieval Of Soil And Canopy Component Temperatures From Uav Thermal And Multispectral Imagery, Héctor Nieto, William P. Kustas, Alfonso F. Torres-Rúa, Joseph G. Alfieri, Feng Gao, Martha C. Anderson, W. Alex White, Lisheng Song, María Del Mar Alsina, John H. Prueger, Mac Mckee, Manal Elarab, Lynn G. Mckee
AggieAir Publications
The thermal-based Two-Source Energy Balance (TSEB) model partitions the evapotranspiration (ET) and energy fluxes from vegetation and soil components providing the capability for estimating soil evaporation (E) and canopy transpiration (T). However, it is crucial for ET partitioning to retrieve reliable estimates of canopy and soil temperatures and net radiation, as the latter determines the available energy for water and heat exchange from soil and canopy sources. These two factors become especially relevant in row crops with wide spacing and strongly clumped vegetation such as vineyards and orchards. To better understand these effects, very high spatial resolution remote-sensing data from …
Spatial Scale Gap Filling Using An Unmanned Aerial System: A Statistical Downscaling Method For Applications In Precision Agriculture, Leila Hassan-Esfahani, Ardeshir M. Ebtehaj, Alfonso F. Torres-Rua, Mac Mckee
Spatial Scale Gap Filling Using An Unmanned Aerial System: A Statistical Downscaling Method For Applications In Precision Agriculture, Leila Hassan-Esfahani, Ardeshir M. Ebtehaj, Alfonso F. Torres-Rua, Mac Mckee
Civil and Environmental Engineering Faculty Publications
Applications of satellite-borne observations in precision agriculture (PA) are often limited due to the coarse spatial resolution of satellite imagery. This paper uses high-resolution airborne observations to increase the spatial resolution of satellite data for related applications in PA. A new variational downscaling scheme is presented that uses coincident aerial imagery products from “AggieAir”, an unmanned aerial system, to increase the spatial resolution of Landsat satellite data. This approach is primarily tested for downscaling individual band Landsat images that can be used to derive normalized difference vegetation index (NDVI) and surface soil moisture (SSM). Quantitative and qualitative results demonstrate promising …
Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso F. Torres-Rua, Austin M. Jensen, Mac Mckee
Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso F. Torres-Rua, Austin M. Jensen, Mac Mckee
Civil and Environmental Engineering Faculty Publications
Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water balance, which addresses water and energy exchanges at the surface/atmosphere interface; however, high-resolution remotely sensed data is rarely used to acquire soil moisture values. In this study, an artificial neural network (ANN) model was developed to quantify the effectiveness of using spectral images to estimate surface soil moisture. The model produces acceptable estimations of surface soil moisture (root mean square error (RMSE) = …
Design Of 'Iris', A Small Autonomous Surveillance Uav, Jennifer Boyce, Ryan Carr, Donovan Chipman, Greg Larson, Nathan Hopkins, Doug F. Hunsaker, W. Jerry Bowman
Design Of 'Iris', A Small Autonomous Surveillance Uav, Jennifer Boyce, Ryan Carr, Donovan Chipman, Greg Larson, Nathan Hopkins, Doug F. Hunsaker, W. Jerry Bowman
Mechanical and Aerospace Engineering Faculty Publications
This paper documents the design process used for a small autonomous surveillance UAV. The most significant requirements for the plane were size (man-packable), endurance (about 1 hour) and cost (essentially disposable). The plane that resulted, named "Iris", is a tailless plane with a 45 cm wing span and a total mass of less than 200g. During flight tests, it achieved an endurance of 52 minutes. The estimated cost to manufacture the planes was $343, excluding the autopilot.