Brent C. Hedquist
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Brent C. Hedquist has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alexandria M. DiMaggio
Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, 700 University Blvd. MSC 218, Kingsville, TX 78363, USA
1 shared publication - Chase Walther
Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, 700 University Blvd. MSC 218, Kingsville, TX 78363, USA
1 shared publication - David B. Wester
Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX 78363, USA
1 shared publication - Humberto Lauro Perotto-Baldivieso
Caesar Kleberg Wildlife Research Institute, Texas A&M University—Kingsville, Kingsville, TX 78363, USA
1 shared publication - J Alfonso Ortega-Santos
Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX 78363, USA
1 shared publication - Jose de la Luz Martinez
Natural Resources Conservation Service, 100 E. Kleberg Ave. #204, Kingsville, TX 78363, USA
1 shared publication
Latest Publications
- Open Access
- 29 July 2020
- Published by MDPI AG in Remote Sensing
- Vol. 12 (15) , 2431
A Pilot Study to Estimate Forage Mass from Unmanned Aerial Vehicles in a Semi-Arid Rangeland
The application of unmanned aerial vehicles (UAVs) in the monitoring and management of rangelands has exponentially increased in recent years due to the miniaturization of sensors, ability to capture imagery with high spatial resolution, lower altitude platforms, and the ease of flying UAVs in remote environments. The aim of this research was to develop a method to estimate forage mass in rangelands using high-resolution imagery derived from the UAV using a South Texas pasture as a pilot site. The specific objectives of this research were to (1) evaluate the feasibility of quantifying forage mass in semi-arid rangelands using a double sampling technique with high-resolution imagery and (2) to compare the effect of altitude on forage mass estimation. Orthoimagery and digital surface models (DSM) with a resolution 2 = 0.65) and 50-m AGL (r2 = 0.63). Furthermore, the use of UAVs would allow one to collect a large number of samples using a non-destructive method to estimate available forage for grazing animals.
- 29 July 2020
- Published by MDPI AG in Remote Sensing
- Vol. 12 (15) , 2431
Open AccessA Pilot Study to Estimate Forage Mass from Unmanned Aerial Vehicles in a Semi-Arid Rangeland
The application of unmanned aerial vehicles (UAVs) in the monitoring and management of rangelands has exponentially increased in recent years due to the miniaturization of sensors, ability to capture imagery with high spatial resolution, lower altitude platforms, and the ease of flying UAVs in remote environments. The aim of this research was to develop a method to estimate forage mass in rangelands using high-resolution imagery derived from the UAV using a South Texas pasture as a pilot site. The specific objectives of this research were to (1) evaluate the feasibility of quantifying forage mass in semi-arid rangelands using a double sampling technique with high-resolution imagery and (2) to compare the effect of altitude on forage mass estimation. Orthoimagery and digital surface models (DSM) with a resolution 2 = 0.65) and 50-m AGL (r2 = 0.63). Furthermore, the use of UAVs would allow one to collect a large number of samples using a non-destructive method to estimate available forage for grazing animals.