T
Trisalyn A. Nelson
Researcher at Arizona State University
Publications - 189
Citations - 5422
Trisalyn A. Nelson is an academic researcher from Arizona State University. The author has contributed to research in topics: Population & Mountain pine beetle. The author has an hindex of 36, co-authored 174 publications receiving 4547 citations. Previous affiliations of Trisalyn A. Nelson include University of California, Berkeley & Victoria University, Australia.
Papers
More filters
Journal ArticleDOI
Detecting spatial hot spots in landscape ecology
Trisalyn A. Nelson,Barry Boots +1 more
TL;DR: In this paper, hot spots are detected in landscape level data on the magnitude of mountain pine beetle infestations using kernel estimators and local measures of spatial autocorrelation.
Journal ArticleDOI
Automated tree recognition in old growth conifer stands with high resolution digital imagery
Donald G. Leckie,François A. Gougeon,Sally Tinis,Trisalyn A. Nelson,Charles Burnett,Dennis Paradine +5 more
TL;DR: In this paper, the capabilities of individual tree analysis are examined with two acquisitions of 70-cm resolution CASI imagery over a hemlock, amabilis fir, and cedar dominated old growth site on the west coast of Canada.
Journal ArticleDOI
Estimation of insect infestation dynamics using a temporal sequence of Landsat data
Nicholas Goodwin,Nicholas C. Coops,Michael A. Wulder,Steve N. Gillanders,Todd A. Schroeder,Trisalyn A. Nelson +5 more
TL;DR: In this article, the authors used eight Landsat scenes collected over a 14-year period in north-central British Columbia, Canada, where the infestation has gradually developed both spatially and temporally.
Journal ArticleDOI
A review of quantitative methods for movement data
JedA. Long,Trisalyn A. Nelson +1 more
TL;DR: Existing quantitative methods for analyzing movement data are reviewed to provide a synthesis of the existing literature on quantitative analysis of movement data while identifying those techniques that have merit with novel datasets.
Journal ArticleDOI
Multitemporal remote sensing of landscape dynamics and pattern change: Describing natural and anthropogenic trends
TL;DR: In this article, a review of the use of more than two images for long-term monitoring of land cover spatial patterns is presented, and the potential and limitations of landscape pattern indices are identified and discussed.