Record Details
Multispectral Remote Sensing for Yield Estimation Using High-Resolution Imagery From an Unmanned Aerial Vehicle
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Multispectral Remote Sensing for Yield Estimation Using High-Resolution Imagery From an Unmanned Aerial Vehicle |
| Creator | Aboutalebi, Mahyar Torres-Rua, Alfonso F. Allen, Niel |
| Description | Satellites and autonomous unmanned aerial vehicles (UAVs) are two major platforms for acquiring remotely-sensed information of the earth’s surface. Due to the limitations of satellite-based imagery, such as coarse spatial resolution and fixed schedules, applications of UAVs as low-cost remote sensing systems are rapidly expanding in many research areas, particularly precision agriculture. UAVs can provide imagery with high spatial resolution (finer than 1 meter) and acquire information in... |
| Date | 2018-05-21T07:00:00Z |
| Type | text |
| Format | application/pdf |
| Identifier | https://digitalcommons.usu.edu/aggieair_pubs/31 info:doi/10.1117/12.2305888 https://digitalcommons.usu.edu/context/aggieair_pubs/article/1026/viewcontent/AGAIRcenter2018AboutalebiTorres_RuaAllen_MultispectralRemoteSensing.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 | Unmanned Aerial Vehicles Vegetation Data Modeling Near Infrared Reflectivity Remote Sensing 3D Modeling Clouds Global Positioning System Image Resolution Aviation |
