Research Article: Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials

High resolution aerial photographs have important rangeland applications, such as monitoring vegetation change, developing grazing strategies, determining rangeland health, and assessing remediation treatment effectiveness. Acquisition of high resolution images by Unmanned Aerial Vehicles (UAVs) has certain advantages over piloted aircraft missions, including lower cost, improved safety, flexibility in mission planning, and closer proximity to the target. Different levels of remote sensing data can be combined to provide more comprehensive information: 15–30 m resolution imaging from space-borne sensors for determining uniform landscape units; < 1 m satellite or aircraft data to assess the pattern of ecological states in an area of interest; 5 cm UAV images to measure gap and patch sizes as well as percent bare soil and vegetation ground cover; and < 1 cm ground-based boom photography for ground truth or reference data. Two parallel tracks of investigation are necessary: one that emphasizes the utilization of the most technically advanced sensors for research, and a second that emphasizes the minimization of costs and the maximization of simplicity for monitoring purposes. We envision that in the future, resource management agencies, rangeland consultants, and private land managers should be able to use small, lightweight UAVs to satisfy their needs for acquiring improved data at a reasonable cost, and for making appropriate management decisions.

[1]  James W. Walker,et al.  Low Altitude Large Scale Reconnaissance: A Method of Obtaining High Resolution Vertical Photographs for Small Areas Revised Edition , 1995 .

[2]  John A. Ludwig,et al.  Monitoring Australian Rangeland Sites Using Landscape Function Indicators and Ground- and Remote-Based Techniques , 2000 .

[3]  T. Schmugge,et al.  Jornada experimental range : A unique arid land location for experiments to validate satellite systems , 2000 .

[4]  Elizabeth A. Walter-Shea,et al.  The EOS Prototype Validation Exercise (PROVE) at Jornada: Overview and Lessons Learned , 2000 .

[5]  M. C. Quilter,et al.  A proposed method for determining shrub utilization using (LA/LS) imagery , 2001 .

[6]  M. Adams,et al.  Relationships between empirical and nominal indices of landscape function in the arid shrubland of Western Australia , 2002 .

[7]  Albert Rango,et al.  The Utility of Historical Aerial Photographs for Detecting and Judging the Effectiveness of Rangeland Remediation Treatments , 2003 .

[8]  Stanley R. Herwitz,et al.  Collection of Ultra High Spatial and Spectral Resolution Image Data over California Vineyards with a Small UAV , 2003 .

[9]  Laurence R. Newcome Unmanned Aviation: A Brief History of Unmanned Aerial Vehicles , 2004 .

[10]  A. Rango,et al.  Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico , 2004 .

[11]  Brandon T Bestelmeyer,et al.  Land Management in the American Southwest: A State-and-Transition Approach to Ecosystem Complexity , 2004, Environmental management.

[12]  K. Havstad,et al.  Monitoring Manual for Grassland, Shrubland and Savanna Ecosystems , 2005 .

[13]  A. Rango,et al.  Using historic data to assess effectiveness of shrub removal in southern New Mexico , 2005 .

[14]  P. Hardin,et al.  An Unmanned Aerial Vehicle for Rangeland Photography , 2005 .

[15]  K. M. Havstada,et al.  Using historic data to assess effectiveness of shrub removal in southern New Mexico , 2005 .

[16]  Douglas H. Johnson,et al.  Patch Size and Landscape Effects on Density and Nesting Success of Grassland Birds , 2006 .

[17]  A. Lalibertea,et al.  Islands of hydrologically enhanced biotic productivity in natural and managed arid ecosystems , 2006 .

[18]  A. Rango,et al.  Combining Decision Trees with Hierarchical Object-oriented Image Analysis for Mapping Arid Rangelands , 2007 .