Download or read book Information Need Driven Applications of Remotely Sensed Data for Mapping Mountain Pine Beetle Infestation at Landscape and Tree Levels written by Michael A. Wulder and published by . This book was released on 2007-01-01 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: When applying remotely sensed data, the information needs dictate the selection of data and analysis methods. Whether the scope of the application is over large areas or individual trees, a project typically must address logistical issues related to data selection and subsequent processing. Logistical issues include the scale at which the target must be measured (which will determine the appropriate sources of imagery), the attributes of interest, cost, timeliness, and repeatability. In this report, we ... synthesize approaches for detection and mapping of mountain pine beetle (Dendroctonus ponderosae Hopkins) red-attack damage with remotely sensed data, from a forest management and disturbance mitigation perspective.
Download or read book Remote Sensing in the Survey of Mountain Pine Beetle Impacts written by Michael Albert Wulder and published by Canadian Government Publishing. This book was released on 2005-01-01 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The SAGE Handbook of Remote Sensing written by Timothy A Warner and published by SAGE Publications. This book was released on 2009-07-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Download or read book Linking Survey Detection Accuracy with Ability to Mitigate Populations of Mountain Pine Beetle written by S. Coggins and published by . This book was released on 2009 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the period 1999 to 2006, the mountain pine beetle impacted an estimated 10.1 million hectares of pine forest in British Columbia, Canada. Surveys to detect the location, size, and impact of infestations are conducted from field, airborne, and satellite perspectives. Importantly, the differing survey approaches characterize the infestation over dissimilar spatial scales (i.e., trees, stands, landscapes), and with varying levels of detection accuracy. In this report, the authors provide background for understanding differing survey approaches, the nature of the information generated, the resultant detection accuracies that may be expected, and the link between survey accuracy and the ability to mitigate a given mountain pine beetle infestation.--Document.
Download or read book Information Forestry written by and published by . This book was released on 2008-04 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multitemporal Remote Sensing of Landscape Pattern Dynamics Resulting from Mountain Pine Beetle Infestation and Timber Harvest written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Occurring over multiple years and impacting an area over 13 million hectares to date, the current epidemic of mountain pine beetle (Dendroctonus ponderosae Hopkins) in British Columbia lends itself to the use of remote sensing technologies for monitoring purposes. Change detection procedures based upon spectral values are common; however, monitoring changes in landscape pattern presents opportunities for the generation of unique and ecologically important information. Furthermore, while the use of two images may provide the means to identify change, the use of more than two images affords the ability for long-term monitoring and characterization of processes such as change rates and dynamics. The initial component of this study consists of a literature review undertaken to investigate and summarize methods and applications of landscape pattern analysis using three or more image dates. This information was in turn used to make recommendations for the application of landscape pattern analysis of a time-series of remotely-sensed data to a case study involving mountain pine beetle infestation and timber harvesting. Following the review, we focused on the detection and monitoring of lodgepole pine stands in order to quantify the progression of forest fragmentation and loss of connectivity as a result of mountain pine beetle infestation and timber harvest. This was accomplished using a key set of landscape pattern indices applied to six Landsat satellite images spanning 1993 to 2006. Through our analysis we found that the impacts of the mountain pine beetle on forest spatial pattern consist of an increase in the number of forest patches, shape complexity, and patch isolation, and a decrease in forest patch size and interspersion. In addition, we determined that in a spatial context, mountain pine beetle infestation plays a significantly greater role in forest fragmentation and loss of connectivity than timber harvest. However, we also discuss the limitations of these find.
Download or read book Abr g Des Publications written by Canadian Forest Service and published by . This book was released on 1993 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Augmenting the Existing Survey Hierarchy for Mountain Pine Beetle Red attack Damage with Satellite Remotely Sensed Data written by and published by . This book was released on 2006 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Detection of Red Attack Stage Mountain Pine Beetle Infestation with High Spatial Resolution Satellite Imagery written by and published by . This book was released on 2005 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Working Paper Monitoring Tree level Insect Population Dynamics with Multi scale and Multi source Remote Sensing written by Michael A. Wulder and published by . This book was released on 2008 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-term monitoring of the rate of change of mountain pine beetle (Dendroctonus ponderosae Hopkins) populations requires detailed tree-level information over large areas. This information is used to assess the status of an infestation (e.g., increasing, stable, or decreasing), and to select and evaluate mitigation approaches. In this research project, the authors develop and demonstrate a prototype monitoring system, which enables the extrapolation of tree-level estimates of beetle damage from field data to a larger study area using a double sampling approach, and multi-scale, multi-source, high spatial resolution remotely sensed data. The project study area encompasses over 6 million ha and is located at the leading edge of an ongoing mountain pine beetle epidemic along the provincial border between British Columbia and Alberta, within the Dawson Creek Timber Supply Area (TSA) of British Columbia and the Northwest Boreal Forest Management Unit in Alberta.--Document.
Download or read book Development and Assessment of 30 meter Pine Density Maps for Landscape level Modeling of Mountain Pine Beetle Dynamics written by Benjamin A. Crabb and published by . This book was released on 2012 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting spatial patterns of mountain pine beetle (MPB) population success requires spatially explicit information on host pine distribution. We developed a means of producing spatially explicit datasets of pine density at 30-m resolution using existing geospatial datasets of vegetation composition and structure. Because our ultimate goal is to model MPB population success, three study areas in the western United States that have experienced recent MPB outbreaks were used for evaluation. Pine density estimates for each study area were compared to measures of cumulative MPB-caused pine mortality summarized from annual Aerial Detection Surveys (ADS). ADS data provide spatial and temporal representations of MPB-caused pine mortality collected by observers in fixed wing aircraft and are the most readily available estimates of landscape-scale impacts of MPB. Regression analyses using LANDFIRE ecological systems classifications (EVTs) as units of analysis showed that the best pine density estimates explained 75 to 98% of cumulative MPB-caused tree mortality. LANDFIRE EVTs, which provide an index of the plant communities growing in a particular 30-m cell, effectively delineate distinct vegetation types that are meaningful suitability indicators for MPB-caused tree mortality. Our analyses suggested that available geospatial vegetation datasets derived from field data and remotely sensed imagery are useful for producing spatially explicit measures of pine density for use in landscape-level modeling of MPB dynamics.
Download or read book Integrating Remotely Sensed and Ancillary Data Sources to Characterize a Mountain Pine Beetle Infestation written by Nicholas C. Coops and published by . This book was released on 2006 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Mountain Pine Beetle written by Pacific Forestry Centre and published by . This book was released on 2006 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents a synthesis of published information on mountain pine beetle (Dendroctonus ponderosae Hopkins [Coleoptera: Scolytidae]) biology and management with an emphasis on lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) forests of western Canada. Intended as a reference for researchers as well as forest managers, the book covers three main subject areas: mountain pine beetle biology, management, and socioeconomic concerns. The chapters on biology cover taxonomy, life history and habits, distribution, insect-host tree interactions, development and survival, epidemiology, and outbreak history. The management section covers management strategy, survey and detection, proactive and preventive management, and decision support tools. The chapters on socioeconomic aspects include an economic examination of management programs and the utilization of post-beetle salvage timber in solid wood, panelboard, pulp and paper products."--Publisher's description.
Download or read book Mapping Mountain Pine Beetle attacked Ponderosa Pine from High resolution Imagery written by and published by . This book was released on 2015 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mountain pine beetle (MPB) (Dendroctonus ponderosae) has killed millions of acres of pines throughout the western United States in recent years. Active control of the beetle has been hindered by the inability to detect infested trees prior to obvious visual signs. With sponsorship from the Forest Service, U.S. Department of Agriculture (USFS) Remote Sensing Steering Committee, the Remote Sensing Applications Center in collaboration with the Black Hills National Forest (NF), conducted a study to determine the feasibility of pre-visual detection of MPB-infested ponderosa pine by analyzing a time series of 26 high-resolution, 8-band, multispectral WorldView-2 (WV2) images of the Black Hills NF. Based on spectral and trend analyses of the time series data, the first sign of detection occurred around mid-March to April. Unfortunately, the newly attacked trees could not be detected early enough for the management goals of the Black Hills NF. Therefore, the emphasis of the project shifted to developing a semi-automated method to map the red-attack stage of the trees from high-resolution aerial photography and SPOT 6 imagery. The red-attack trees were mapped from the aerial photography using eCognition software across an area of approximately one million acres. In many areas, the results were exceptional, with very few errors; however, in areas of sparse or thinned forest, significant errors of omission and commission occurred. Despite the errors, the semi-automated process may still provide sufficient benefit to reduce the time and cost of mapping the trees as compared to traditional manual delineation methods.
Download or read book Assessment of Aerial Photographs and Multi spectral Scanner Imagery for Measuring Mountain Pine Beetle Damage written by Philip Gimbarzevsky and published by . This book was released on 1992 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development and Assessment of 30 Meter Pine Density Maps for Landscape Level Modeling of Mountain Pine Beetle Dynamics written by Benjamin A. Crabb and published by CreateSpace. This book was released on 2015-02-14 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting spatial patterns of mountain pine beetle (MPB) population success requires spatially explicit information on host pine distribution. We developed a means of producing spatially explicit datasets of pine density at 30-m resolution using existing geospatial datasets of vegetation composition and structure. Because our ultimate goal is to model MPB population success, three study areas in the western United States that have experienced recent MPB outbreaks were used for evaluation. Pine density estimates for each study area were compared to measures of cumulative MPB-caused pine mortality summarized from annual Aerial Detection Surveys (ADS). ADS data provide spatial and temporal representations of MPB-caused pine mortality collected by observers in fixed wing aircraft and are the most readily available estimates of landscape-scale impacts of MPB. Regression analyses using LANDFIRE ecological systems classifications (EVTs) as units of analysis showed that the best pine density estimates explained 75 to 98% of cumulative MPB-caused tree mortality.
Download or read book Incorporating Present and Future Climatic Suitability Into Decision Support Tools to Predict Geographic Spread of the Mountain Pine Beetle written by Terence Leckie Shore and published by . This book was released on 2008 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main goal of this project was to adapt existing mountain pine beetle (MPB) decision-support tools to incorporate climatic suitability information to refine the spatial characterization of present climate and to support assessments of future climate. These tools include susceptibility and risk rating systems, the MPBSim stand-scale MPB population model, the landscape-scale SELES-MPB population model, and graph-based connectivity methods. We made significant advances on all of these, resulting in a suite of tools with increased capabilities and generality. During the course of this project, we also provided decisions support in the specific areas of study, in particular Dawson Creek and central-western Alberta. The basis of the climatic suitability was the work of A. Carroll et al. (2004) which produced estimates of MPB climatic suitability in five classes across western Canada, for historical, existing and future climates. Future climate information was derived from global circulation models such as the CGCM model. They input general climate information into the BioSim tool, in conjunction with topography and other variables relevant to downscaling for MPB, to produce the MPB climatic suitability maps. We used these maps to create an adaptation of the MPB susceptibility and risk rating system that replaced the coarser location factor (based on latitude, longitude and elevation) with MPB climatic suitability. It is important to note that the MPB climatic suitability refers only to climatic conditions relevant for MPB survival and reproduction, while the susceptibility rating system incorporates pine host information. We also modified MPBSim, a stand-scale population model, to utilize the MPB climatic suitability information. In previous applications, MPBSim was adapted to local conditions via a calibration process using local weather information. In some senses, this calibration process resulted in a reasonably precise adjustment to local conditions. However, it was also fairly labour intensive and didn't account as well for spatial variability. Our approach here was to use climatic suitability to both increase spatial precision as well as produce outputs that can be readily adapted to different stand and landscapes. The SELES-MPB landscape-scale population model scales MPBSim dynamics to broad spatial areas. We modified this tool to utilize the revised MPBSim output. This supports more rapid adaptation to other landscapes, as well as allows examination of potential effects of future climate. Our Dawson Creek analysis indicated that beetle management in the Dawson Creek area could significantly affect the spread and impact of the beetle outbreak over the next 10 years, provided that high levels of fell and burn and survey efforts are maintained. Estimated impacts are significantly affected by external pressure from the main outbreak, as estimated using the provincial-scale BCMPB projection. If mountain pine beetle populations can be held low until the main outbreak subsides (which will likely occur within the next five years due to availability of hosts), management should be able to curtail major losses in the Dawson Creek area. In areas with new or no current MPB attack, especially in areas within the expanding range, there is relatively high uncertainty of how the MPB may spread, such as in central-western Alberta. We developed graph-based connectivity methods to assess the spatial pattern of high susceptibility hosts across broad regions, under historic, existing or future climates. This information has been useful to help prioritize and rank stands for treatment in areas of imminent or future risk, and to identify areas for which treatment has no benefit.
