Remote Sensing in the Survey of Mountain Pine Beetle Impacts Review and Recommendations

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Published by Canadian Government Publishing .

Written in English

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Number of Pages55
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Open LibraryOL11028057M
ISBN 100662400550
ISBN 109780662400554

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Remote sensing in the survey of mountain pine beetle impacts: Review and recommendations Book January with Reads How we measure 'reads'. Remote Sensing in the Survey of Mountain Pine Beetle Impacts: Review and Recommendations on *FREE* shipping on qualifying offers.

Book byFormat: Hardcover. The main objective of this review is to summarize previous and current contributions of remote sensing to the survey of mountain pine beetle impacts.

The potential and limits of remotely sensed data for the detection and mapping of mountain pine beetle impacts, over a range of attack stages, are identified and by: ISBN: OCLC Number: Language Note: Includes abstract in French.

Description: v, 55 p.: ill. ; 28 cm. Series Title: Information. Detecting and Mapping Mountain Pine Beetle Infestations: Defining the Role of Remote Sensing and Establishing Research Priorities, R.J.

Wiart & Associates, June 26. Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data.

Remote Sensing ; doi/rs Liang, L., T.J. Hawbaker, Y. Chen, Z. Zhu, and P. Gong. Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains.

This broad survey encompasses several pests and forest health issues, including mountain pine beetle red attack (Westfall, ).

The red attack detection information from the aerial sketch mapping program is primarily used for strategic planning, the identification of areas requiring more intensive survey, and for the allocation of mitigation Cited by: The current outbreak of mountain pine beetle, Dendroctonus ponderosae Hopkins, has led to extensive tree mortality in British Columbia and the western United States.

While the greatest impacts of the outbreak have been in British Columbia, ongoing impacts are expected as the outbreak continues to spread eastward towards Canada’s boreal and eastern pine by: Remote sensing technology mounted on unmanned aerial systems (UASs) with high-resolution image processing has been proposed to assess insect outbreak impacts at local and forest stand levels.

Here, we used UAS-acquired RGB imagery in two pine sites to quantify defoliation at the tree-level and to verify the accuracy of the by:   Progress 10/01/16 to 09/30/17 Outputs OUTPUTS: The capability to understand and better predict both within-and out-year tree mortality has always been of interest to western land managers.

A within-and out-year tree mortality forecast tool has been developed (for the state of California) based on current-year weather and prior year aerial detection survey of. Infestations caused by the mountain pine beetle (MPB) can be seen as complex spatio-temporal process with severe ecological impacts on the forest environment.

In order to manage and prevent the insect infestation and reduce significant forest loss it is necessary to improve knowledge about the infestation : Mileva Samardžić-Petrović, Suzana Dragićević. Remote sensing in the survey of mountain pine beetle impacts: review and recommendations / Includes bibliographical references (p.

Includes abstract in French. Also available on the World Wide Web. The mountain pine beetle is a bark beetle that bores through the bark and creates a network of galleries that girdle the tree and cause the foliage to become a reddish-brown color.

These foliage loss and color changes often occur during a short time period-this is the optimal time for detection by remote sens-ing. Figure 1: A Rocky Mountain Pine Beetle. While some remote telemetry is used, most of the finding of the beetles (the first step to defeating them) is mainly ground work, and therefore the paper will then propose a few new methods using unmanned aircraft systems (UAS).

Progress 10/01/16 to 09/30/17 Outputs OUTPUT: A total of 54 papers were published during FY17 in Problem 4. Important highlights in this problem area include the short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado; an understanding of the severity of the Hayman Fire, Colorado; Mountain pine beetle.

Managing bark beetle impacts on ecosystems and society: priority questions to motivate future research. Jesse L. Morris. recent outbreaks of mountain pine beetle Dendroctonus ponderosae Hopkins (MPB) have been severe, long‐lasting and well remote sensing technology is often utilized due to the vast landscapes that must be surveilled.

Cited by: Remote Sensing, 7(3), Forest pests and home values. Much of the American West is impacted by explosive populations of the native Mountain Pine Beetle (MPB), and resulting large-scale damage to forestlands.

Our research focuses on the impact of diseased trees on home values, and how sensitive these values are to errors in geocoding of. Mountain Pine Beetle Detection and Monitoring: Evaluation of Airborne Imagery.

In Proceedings of the International Society for Optical Engineering (SPIE) Europe Remote Sensing Conference, Florence, Italy, September(reviewed) Kocabas, V., Dragicevic, S., Integrating GIS and Bayesian Networks for a multi-agent model of.

pine vulnerability to climate-driven mountain pine beetle disturbance in the Greater Yellowstone Ecosystem. Ecological Applications Moyes, A. B., C. Castanha, M. Germino, and L. Kueppers. Warming and the dependence of limber pine (Pinus fl exilis) establishment on summer soil moisture within and above its.

Estimating the reduction in gross primary production due to mountain pine beetle infestation using satellite observations International Journal of Remote Sensing.

Vol. 31, No. 8, pp. Vol. 31, No. 8, pp. The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring.

with remote sensing (Figure 2). We Figure 1. Schematic diagram illustrating the possible effects of Mountain Pine Beetle forest disturbance on snowpack and streamflow. Figure 2. A) Aerial imagery showing mountain pine beetle-caused mortality in a lodgepole pine forest in northern Colorado.

B) Aerial Detection Survey data. Murtha, P.A. and Wiart, R.J. Cluster analysis of pine crown foliage patterns air identification of mountain pine beetle current attack.

Photogrammetric Engineering & Remote Sensing, 55, pp. 83– Google ScholarCited by: 3. CiteScore: ℹ CiteScore: CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. ) to documents published in three previous calendar years (e.g.

– 14), divided by the number of documents in these three previous years (e.g. – 14). The purpose of the Western South Dakota Hydrology Meeting is to bring together researchers from Federal, State, University, local government, and private organizations and provide a forum to discuss topics dealing with hydrology in western South Dakota.

whitebark pine in the ecosystem in cooperation with the Greater Yellowstone Whitebark Pine Monitoring Working Group. A summary of the monitoring is also presented (see Appendix D). The protocol has been modified to document mortality rate in whitebark pine from all causes, including mountain pine beetle (Dendroctonus ponderosae).

Because mountain pine beetle populations have historically been larger in lower-elevation forests, it has been assumed that lower-elevation forests serve as source points for attacks, with upper-elevation whitebark pine acting as "spill-over" sinks for mountain pine beetles [12,27,46,].

However, experimental evidence is lacking. Chapter Remote sensing report on mountain pine beetle/grizzly bear project / Pp. In: Stenhouse, G. and K. Graham eds., Foothills Research Institute Grizzly Bear Program Annual Report.

Eidenshink, Z. Zhu and M.A. Finney. “Combining remote sensing and spatial modeling to assess site and landscape level effects of fuels treatments on wildland fire”, for the 5th International Fire Ecology and Management Congress, special session “Assessing Fire Effects with Remote Sensing and Geospatial Technologies”.

Decemberbook. Using Historical Maps in Scientific Studies Applications, Challenges, and Best Practices Remote Sensing and Spatial Information Sciences. Detection of mountain pine beetle-killed ponderosa pine in a heterogeneous landscape. forest regeneration, stand development modelling, silvicultural systems, forest restoration, old-growth dynamics, stand edge effects, mountain pine beetle, seed dispersal, germination ecology, disturbance ecology.

Changing temperatures influence suitability for modeled mountain pine beetle (Dendroctonus ponderosae) outbreaks in the western United States Climate Change and Forest Disturbances Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions.

Book Review: Lasaponara, Rosa & Masini, Nicola (Eds.), Satellite Remote Sensing: A New Tool for Archaeology. Remote Sensing and Digital Image Processing Springer, London ().

pp., Price: £ ISBN: International Journal of Applied Earth Observations and Geoinformation. Frank H. Koch, Jr. – Page 1 of 24 Frank H.

Koch, Jr. Cornwallis Road. Research Triangle Park, NC Ph: () [email protected] EDUCATION • Ph.D. in Forestry, Minor in Environmental Remote Sensing and Image Analysis, DecemberNorth Carolina State University, Raleigh, NC • M.S. in Natural Resources. Blue Mountain Ecoregion (1) Bob Marshall Wilderness Area (1) Bole scorch (1) book (1) boosted regression (1) british thermal unit values (1) Bromus tectorum (4) building construction (1) burn manager certification (1) burn pile (1) burn probability (2) burn probability modelling (1) burn severities (1) burn severity (12) Burned Area Emergency.

Eastern larch beetle. Pigeon horntail. Other: 12 weeds of Christmas quiz. Imprelis contaminated materials allowed in landfills for Of Historical Interest: 25 years ago - – 60 years ago – - Cytospora canker Jack pine sawfly White pine seedling root rot Birch skeletonizer.

Remote sensing offers the potential for cost effective and rapid assessment of individual tree species classification across several scales. Scientists investigated the utility of leaf, branch and crown-level scale-invariant topological metrics for use in automated species-level classification of individual trees.

The Canadian Forest Service promotes the sustainable development of Canada's forests and the competitiveness of the Canadian forest sector. (1) Literature review. We searched the literature for studies on disturbance by fire, wind and bark beetles, and their impacts on ecosystem services as defined by the Millennium Ecosystem Assessment (MEA, ), as well as their effects on biodiversity, focusing on species richness and habitat quality as well as on indices of diversity (e.g.

Shannon‐Index, Cited by: Yongwei Shan. Yongwei Shan is an Assistant Professor in the School of Civil and Environmental Engineering at Oklahoma State University.

One of his research thrusts is transportation infrastructure asset management. He was the Principal Investigator (PI) of a research project, entitled “Prioritizing Bridge Maintenance and Repairs Considering Geospatial and.

Impacts of mountain pine beetle on hydrology and vegetative redevelopment in lodgepole pine forests of west-central Alberta: Phase II - Ecological responses in the grey attack stage. This project will examine hydrological and vegetation responses in the grey attack stage.Public perceptions of mountain pine beetle management alternatives Natural Resources Canada, Canadian Forest Service, Victoria Mountain Pine Beetle Working Paper ISBN Sheppard, S.R.J., and A.

Shaw ().Lukas, J. and E. Gordon (). Impacts of the Mountain Pine Beetle Infestation on the Hydrologic Cycle and Water Quality: A Symposium Report and Summary of the Latest Science. Intermountain West Climate Summary 6(3).

Nowak, K., J. .

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