Record Details
Implications of Sensor Inconsistencies and Remote Sensing Error in the Use of Small Unmanned Aerial Systems for Generation of Information Products for Agricultural Management
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Implications of Sensor Inconsistencies and Remote Sensing Error in the Use of Small Unmanned Aerial Systems for Generation of Information Products for Agricultural Management |
| Creator | McKee, Mac Nassar, Ayman Torres-Rua, Alfonso F. Aboutalebi, Mahyar Kustas, William |
| Description | Small, unmanned aerial systems (sUAS) for remote sensing represent a relatively new and growing technology to support decisions for agricultural operations. The size and power limitations of these systems present challenges for the weight, size, and capability of the sensors that can be carried, as well as the geographical coverage that is possible. These factors, together with a lack of standards for sensor technology, its deployment, and data analysis, lead to uncertainties in data quality... |
| Date | 2018-05-21T07:00:00Z |
| Type | text |
| Format | application/pdf |
| Identifier | https://digitalcommons.usu.edu/aggieair_pubs/30 info:doi/10.1117/12.2305826 https://digitalcommons.usu.edu/context/aggieair_pubs/article/1025/viewcontent/AGAIRcenter2018McKeeNassarTorres_Rua_ImplicationsSensorInconsistencies.pdf |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | AggieAir Publications |
| Publisher | Hosted by Utah State University Libraries |
| Contributor | International Society for Optical Engineering |
| Subject | Sensors Remote Sensing Vegetation Agriculture Near Infrared Monte Carlo Methods Sensor Performance Error Analysis Reflectivity Satellites Aviation |
