Adam J. Mathews

Binghamton University

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i-10 index

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Co-Authors

Emily A. Ellis

Virginia Tech

Jennifer Jensen

Texas State University

Amy E. Frazier

University of California, Santa Barbara

Thomas A. Wikle

Oklahoma State University

Matthew T. Patton

University of Nebraska–Lincoln

Matthew Haffner

University of Wisconsin–Eau Claire

Zhao Yun

Shanghai Institute of Technology

Nathan Campbell

Oklahoma State University

Andrew Hall

Charles Sturt University

S. V. Nghiem

Jet Propulsion Laboratory

Cooperative Institutions

Oklahoma State University

Oklahoma State University Oklahoma City

Texas State University

Western Michigan University

University of Oklahoma

Charles Sturt University

Wine Australia

New South Wales Department of Primary Industries

National Institute of Grape and Wine "Magarach"

Cooperative Research Centre for Tissue Growth and Repair

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Papers

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An airborne LiDAR-based methodology for vineyard parcel detection and delineation

International Journal of Remote Sensing (2012)

Adam J. Mathews Jennifer Jensen

An airborne lidar-based technique to delineate vineyard parcels from surrounding land uses is proposed and assessed in the Texas Hill Country American Viticultural Area near Austin, Texas, USA. Although most vineyard site analyses are based on multispectral aerial and satellite images, this study takes advantage of the height-based uniqueness of vineyard land uses inherent in the vine-trellising structure to differentiate vineyard areas from non-vineyard areas. A normalized digital surface model was created from lidar data and smoothed with a focal statistics method to identify vine rows and delineate vineyard land-use parcels. A simple unsupervised classification of the three study sites was performed to identify low vegetation areas. The vineyard areas were extracted from the low vegetation class and compared with manually digitized versions. The results suggest that lidar-based data sets can efficiently differentiate vineyard from non-vineyard land use. Our study yielded a mean classification accuracy of 97.55% and successfully extracted vineyard parcel area (mean accuracy 88.79%).

Vineyard

Land Cover

Vine

10.1080/01431161.2012.663114

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Citations (20)

Assessment of Image-Based Point Cloud Products to Generate a Bare Earth Surface and Estimate Canopy Heights in a Woodland Ecosystem

Remote Sensing (2016)

Jennifer Jensen Adam J. Mathews

We examine the utility of Structure from Motion (SfM) point cloud products to generate a digital terrain model (DTM) and estimate canopy heights in a woodland ecosystem in the Texas Hill Country, USA. Very high spatial resolution images were acquired with a Canon PowerShot A800 digital camera mounted on an unmanned aerial system. Image mosaicking and dense point matching were accomplished using Agisoft PhotoScan. The resulting point cloud was classified according to ground/non-ground classes and used to interpolate a high resolution DTM which was both compared to a DTM from an existing lidar dataset and used to model vegetation height for fifteen 20 × 20 m plots. Differences in the interpolated DTM surfaces demonstrate that the SfM surface overestimates lidar-modeled ground height with a mean difference of 0.19 m and standard deviation of 0.66 m. Height estimates obtained solely from SfM products were successful with R2 values of 0.91, 0.90, and 0.89 for mean, median, and maximum canopy height, respectively. Use of the lidar DTM in the analyses resulted in R2 values of 0.90, 0.89, and 0.89 for mean, median, and maximum canopy height. Our results suggest that SfM-derived point cloud products function as well as lidar data for estimating vegetation canopy height for our specific study area.

Digital surface

Structure from Motion

Elevation (ballistics)

10.3390/rs8010050

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Citations (140)

An evaluation of tornado siren coverage in Stillwater, Oklahoma: Optimal GIS methods for a spatially explicit interpretation

Applied Geography (2016)

Adam J. Mathews Emily A. Ellis

Siren (mythology)

Alley

10.1016/j.apgeog.2016.01.007

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Citations (17)

Enhancing Middle School Learning about Geography and Topographic Maps Using Hands-on Play and Geospatial Technologies

Journal of Geography (2023)

Adam J. Mathews Lisa M. DeChano‐Cook Cynthia Bloom

The objective of this research was to determine if and to what extent students' learning of geographic concepts can be improved through incorporation of hands-on play with Play-Doh® and LEGO® and geospatial technologies, specifically drones. The project team conducted six months of biweekly, collaborative instruction at Comstock Middle School in Michigan incorporating in-class activities such as drawing mental maps, creating contour lines of model landscapes in water boxes, constructing 3D landscapes from 2D topographic maps, building and operating small drones, and more. Compared pre- and post-tests reveal a 14% increase in overall scores, a statistically significant improvement in student performance.

Drone

Geomatics

10.1080/00221341.2023.2226156

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Citations (11)

Exploring place marketing by American microbreweries: neolocal expressions of ethnicity and race

Journal of Cultural Geography (2016)

Adam J. Mathews Matthew T. Patton

The American craft brewing scene has exhibited continued growth over the past several decades fueled by the desire of many patrons to opt for unique, local brews in the place of homogenous national and international brands. Previous research reports that American microbreweries often express neolocalism in the marketing of their products: using local place names, people, events, landscape features, and icons on their labeling and in their names to establish roots with the local environment and culture. By way of qualitatively surveying 1564 microbrewery websites, this paper looks through a neolocal lens to examine microbrewery usage of ethnicity and race in their marketing efforts. Microbreweries are found to express ethnicity and race in their marketing schemes to a limited extent within which ethnicity, more so than race, is demonstrated. Specific examples include references to ethnic ties to the Scots-Irish in Appalachia, specific Native American tribes throughout the country, and Latino, specifically Mexican/Mexican-American, cultural heritage in the American southwest. In addition, findings reflect the demographics of the industry, which is dominated by whites of European descent.

Craft

Scots

10.1080/08873631.2016.1145406

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Citations (42)

Object-based delineation of urban tree canopy: assessing change in Oklahoma City, 2006–2013

Computers Environment and Urban Systems (2018)

Emily A. Ellis Adam J. Mathews

Aerial imagery

Tree canopy

Object based

10.1016/j.compenvurbsys.2018.08.006

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Citations (31)

Assessing professional benefits of GIS certification

Cartography and Geographic Information Science (2016)

Adam J. Mathews Thomas A. Wikle

The certification of geographic information system (GIS) professionals remains a contentious topic. After more than 25 years, the GIS community remains divided over the need to formally recognize GIS professionals who maintain standards of professional competency and conduct. Unfortunately, few studies have examined individuals who have become certified or the professional benefits of certification. This study explores GIS certification through a survey of 1731 geospatial professionals who became geographic information systems professionals (GISPs) between 2003 and 2014. A web-based questionnaire asked GISPs about the certification process, its influence on their compensation and advancement, and other issues. Quantitative and qualitative findings suggest that perceptions about certification fall along a wide spectrum with GISPs employed in private industry seeing fewer benefits compared with those employed in government or not-for-profit organizations. While a large number of respondents conveyed pride in completing the certification process, others expressed frustration over the program's lack of visibility, standards that have enabled less qualified peers to become certified, and the slow progress at which GIS certification has achieved respect compared with programs administered in other fields such as engineering and planning.

10.1080/15230406.2016.1185742

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Citations (9)

Drones and Geography: Who Is Using Them and Why?

The Professional Geographer (2022)

Stephanie R. Rogers Kunwar K. Singh Adam J. Mathews Anthony R. Cummings

Drones have equipped geographers with the capacity to collect high-quality geospatial data at multiple spatial, spectral, and temporal resolutions. Although the adoption of drones is increasing across geography, knowledge of those using this technology and their practices is limited. The purpose of this article is to understand who is using drones in geography, how they are using them, and what future opportunities exist. We collected data from eighty-eight survey respondents, predominantly based in the United States but a handful from Australia, Canada, the European Union, and the United Kingdom. The findings from our Web-based survey show that about 85 percent of geographers using drones are White. Female respondents made up only about 30 percent of respondents, although they represented about 75 percent of the eighteen to twenty-four age group. Although the word drone has a negative connotation, most users (∼38 percent) prefer it, followed by unmanned aerial vehicle (∼21 percent) and unmanned aerial systems (∼19 percent). Only 22 percent of geographers have more than six years of drone experience, suggesting the rapid growth in use and popularity among geographers. Off-the-shelf drones are the most desirable, perhaps due to their low cost and ease of use. Overall, drones in geography are considered positive and have introduced a new era of small extent geospatial analyses.

Drone

Popularity

Health geography

Connotation

10.1080/00330124.2021.2000446

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Citations (8)

Applying Geospatial Tools and Techniques to Viticulture

Geography Compass (2013)

Adam J. Mathews

Abstract Viticulture is the science of growing grapevines, in particular, those used in the production of wine grapes and wine. Although many different research areas exist within viticulture, the latest implement geospatial tools and techniques such as GIS, GPS, and remote sensing to better monitor the crop and therefore make better decisions regarding it. Geospatial techniques allow both researchers and vineyard managers to study the natural spatial variability that exists within and between vineyard blocks. This paper reviews three emerging subfields of geographic research in viticulture: site location and suitability analysis, vineyard land use identification, and precision viticulture. Future research directions and integration of additional geographic tools and techniques are also discussed.

Vineyard

Terroir

Identification

10.1111/gec3.12018

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Citations (10)

Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud

Remote Sensing (2013)

Adam J. Mathews Jennifer Jensen

This study explores the use of structure from motion (SfM), a computer vision technique, to model vine canopy structure at a study vineyard in the Texas Hill Country. Using an unmanned aerial vehicle (UAV) and a digital camera, 201 aerial images (nadir and oblique) were collected and used to create a SfM point cloud. All points were classified as ground or non-ground points. Non-ground points, presumably representing vegetation and other above ground objects, were used to create visualizations of the study vineyard blocks. Further, the relationship between non-ground points in close proximity to 67 sample vines and collected leaf area index (LAI) measurements for those same vines was also explored. Points near sampled vines were extracted from which several metrics were calculated and input into a stepwise regression model to attempt to predict LAI. This analysis resulted in a moderate R2 value of 0.567, accounting for 57 percent of the variation of LAISQRT using six predictor variables. These results provide further justification for SfM datasets to provide three-dimensional datasets necessary for vegetation structure visualization and biophysical modeling over areas of smaller extent. Additionally, SfM datasets can provide an increased temporal resolution compared to traditional three-dimensional datasets like those captured by light detection and ranging (lidar).

Structure from Motion

Vineyard

Digital surface

Laser Scanning

Ground sample distance

10.3390/rs5052164

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Citations (237)