Estimating Juniper Cover From National Agriculture Imagery Program (NAIP) Imagery and Evaluating Relationships Between Potential Cover and Environmental Variables

Davies, Kirk W.; Petersen, Steven L.; Johnson, Dustin D.; Davis, David B.; Madsen, Matthew D.; Zvirzdin, Daniel L.; Bates, Jon D.

doi:10.2111/rem-d-09-00129.1

Cited by 57 publications

(31 citation statements)

References 31 publications

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“…Previous studies on temporal patterns of shrub colonization have mostly focused on the role of site conditions (Browning et al, 2008;Davies et al, 2010;Levick and Rogers, 2011), fire (Malkisnon et al, 2011) and grazing (Roques et al, 2001). We observed that aspect and rock cover were significant predictors of shrub patch density.…”

Section: Discussionmentioning

confidence: 56%

“…Information derived from time series of aerial photographs has advanced our knowledge of the dynamics and extent of shrub encroachment (Briggs et al, 2002;Peters et al, 2006). However, research on the drivers of shrub colonization has mostly focused on the effect of physical factors, particularly soil properties and topographic features such as aspect and elevation (Browning et al, 2008;Davies et al, 2010;Levick and Rogers, 2011) or grazing (Bartolomé et al, 2005;Roques et al, 2001;Ward et al, 2014). In contrast, the identity of the colonizing shrub species as major driver of shrub expansion has seldom been studied.…”

Section: Introductionmentioning

confidence: 99%

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Water availability and species identity control shrub colonization in abandoned semiarid steppes

Rolo

Amat

Cortina

2016

Agriculture, Ecosystems & Environment

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Highlights• Shrub cover has increased in former agricultural lands worldwide.• Colonization rates are explained by the identity of shrub species.• Species idiosyncratic effects are contingent on water availability.• Abiotic attributes, such as aspect or rock cover, played a lesser role. 1 AbstractThe increase in shrub cover and density is a widespread phenomenon in drylands worldwide. Its causes and consequences are complex and strongly idiosyncratic. Detailed knowledge of the rate of shrub colonization, and its abiotic and biotic drivers is crucial to fully understand and manage these areas. We used a set of aerial photographs (1956, 1978, 1985, 1998 and 2009) describing early, gradual and late recruitment, respectively. Differences in shrub patch colonization rate were related to the identity of patch-forming species, but contingent on water availability. Total increases in shrub patch density were larger when patches were dominated by late colonizer species. Overall shrub patch dynamics was mostly related to the identity of patchforming species and climatic conditions, and to a lesser extent physical factors such as aspect and rock cover. Given the sensitivity of patch-forming species to climatic conditions, new challenges for steppe management will emerge over the next decades. Species able to thrive under harsh conditions may increase their dominance at the expense of species adapted to less demanding conditions.

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Section: Discussionmentioning

confidence: 56%

Section: Introductionmentioning

confidence: 99%

Water availability and species identity control shrub colonization in abandoned semiarid steppes

Rolo

Amat

Cortina

2016

Agriculture, Ecosystems & Environment

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“…The Feature Analyst is an object-based segmentation and classification method, which has been designed as a plug-in toolset for use with established GIS and remote sensing software such as ArcGIS, ERDAS Imagine, SOCET SET, GeoMedia, and RemoteView [34,36,37]. The Feature Analyst provides a suite of inductive learning algorithms for object recognition using both spectral and spatial characteristics and includes a feature extraction function that identifies object-specific features defined by a user.…”

Section: Objective 1: Image Classification and Accuracy Assessmentmentioning

confidence: 99%

“…However, the 30-m resolution of these images may not be adequate for detecting subtle changes in distribution patterns and infilling rates. The recent availability of National Agricultural Imagery Program (NAIP) images provides an inexpensive source of images covering extensive land areas (data sets are at the county level) at a much higher resolution (1 and 2-m) [25,34]. This provided us with the opportunity to contrast the accuracy of these two image sources with respect to mapping mesquite at a large geographic scale and detecting changes in infilling rates within currently invaded regions.…”

Section: Introductionmentioning

confidence: 99%

Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland

Mırık¹,

Ansley²

2012

Remote Sensing

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Woody plant encroachment into grasslands and rangelands is a world-wide phenomenon but detailed descriptions of changes in geographical distribution and infilling rates have not been well documented at large land scales. Remote sensing with either aerial or satellite images may provide a rapid means for accomplishing this task. Our objective was to compare the accuracy and utility of two types of images with contrasting spatial resolutions (1-m aerial and 30-m satellite) for classifying woody and herbaceous canopy cover and determining woody infilling rates in a large area of rangeland (800 km 2 ) in northTexas that has been invaded by honey mesquite (Prosopis glandulosa). Accuracy assessment revealed that the overall accuracies for the classification of four land cover types (mesquite, grass, bare ground and other) were 94 and 87% with kappa coefficients of 0.89 and 0.77 for the 1-m and 30-m images, respectively. Over the entire area, the 30-m image over-estimated mesquite canopy cover by 9 percentage units (10 vs. 19%) and underestimated grass canopy cover by the same amount when compared to the 1-m image. The 30-m resolution image typically overestimated mesquite canopy cover within 225 4-ha sub-cells that contained a range of mesquite covers (1-70%) when compared to the 1-m image classification and was not suitable for quantifying infilling rates of this native invasive species. Documenting woody and non-woody canopy cover on large land areas is important for developing integrated, regional-scale management strategies for rangeland and grassland regions that have been invaded by woody plants. OPEN ACCESSRemote Sens. 2012Sens. , 4 1948

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“…Object-based image analysis (OBIA) techniques that group similar, neighboring pixels into distinct image objects within designated parameters (Burnett and Blaschke, 2003;Ryherd and Woodcock, 1996), have shown success in describing landscape patches evaluated with high-resolution imagery (Karl and Maurer, 2010;Laliberte et al, 2004;Laliberte et al, 2010;Yu et al, 2006). However, remotely-sensed image research for shrub steppe communities encroached with P-J woodlands is limited (Davies et al, 2010;Madsen et al, 2010;Sankey and Glenn, 2011;Weisberg et al, 2007;Yang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Random Set Approach for Modeling Integrated Uncertainties of Traffic Islands Derived from Airborne Laser Scanning Points

Liang¹,

Stein²

2013

photogramm eng remote sensing

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CaGIS and ASPRS invite you to our joint conference on Imaging and Mapping for Disaster Management. As mapping, GIS, and remote sensing professionals, we understand the key role that accurate, current geospatial information plays in preventing, preparing for, and responding to emergencies on all scales. The combined expertise of CaGIS and ASPRS members is critical in supporting disaster management because it is not enough to collect outstanding data; we must be prepared to quickly and efficiently exploit it in order to enable critical decisions. Most importantly, we must understand the information needs of the decision makers and coordinate geospatial data collections. Technical sessions and exhibit hall hours are on two days -Tuesday (October 29) and Wednesday (October 30). CaGIS/ASPRS 2013 Specialty Conference Imaging and Mapping for Disaster Management: From the Individual to the Global CommunitySan NEW:Three presentations per 90-minute technical session, allowing more time for each presenter and for discussion.More Exhibit hall hours to maximize opportunity to visit the exhibit booths.Exhibitors' Reception -Tuesday night followed by an opportunity for late-night dancing near the Riverwalk -including lessons from at least one of We are looking forward to seeing all of you in San Antonio for some very important work and an opportunity to have some fun deep in the heart of Texas! The ASPRS Manual of Airborne Topographic Lidar covers all the relevant topics relating to the science behind lidar systems, mission planning, data collection and management, quality control/ quality assurance, and product development. Selected topics are discussed in-depth• The Global Navigation Satellite System immediate electronic access to all peer-reviewed articles in this issue is available to aSPrS members at www.asprs.org. Just log in to the aSPrS web site with your membership iD and password and download the articles you need. On the cover: Aero-Graphics recently collected simultaneous HD video, orthoimagery,and high-density lidar data over the Glen Canyon Dam near Page, Arizona. Because of its tremendous ecological impact on the Colorado River, the resulting data provided immense value to the end user for conducting sediment and sandbar erosion studies, fl ood simulation analysis, and rockslide mitigation. A regional power company also utilized the data for transmission line ratings and NERC compliance. A video depicting the synthesis of all three mapping elements is available for viewing at http://www.aero-graphics.com.Aero-Graphics is a privately-owned geospatial services company located in Salt Lake City, Utah. Utilizing the latest in lidar and aerial imaging technology, it has established a nationwide reputation for providing high-quality aerial mapping services on schedule at competitive prices.For further information, please contact us by phone at 801.487.3273 or by email at sales@aero-graphics.com. An improved decision-theoretic rough set model with a comprehensive set of criteria to select key features for guaranteeing ...

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Estimating Juniper Cover From National Agriculture Imagery Program (NAIP) Imagery and Evaluating Relationships Between Potential Cover and Environmental Variables

Cited by 57 publications

References 31 publications

Water availability and species identity control shrub colonization in abandoned semiarid steppes

Water availability and species identity control shrub colonization in abandoned semiarid steppes

Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland

A Random Set Approach for Modeling Integrated Uncertainties of Traffic Islands Derived from Airborne Laser Scanning Points

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