Detecting Shoot Beetle Damage on Yunnan Pine Using Landsat Time-Series Data

A Model for Mountain Pine Beetle Outbreaks in an Age-Structured Forest: Predicting Severity and Outbreak-Recovery Cycle Period

(2015) Jacob P. Duncan et al.   BULLETIN OF MATHEMATICAL BIOLOGY

Hyperspectral Remote Sensing of Mountain Pine Beetle with an Emphasis on Previsual Assessment

(2015) K. Olaf Niemann et al.   CANADIAN JOURNAL OF REMOTE SENSING

Detection of mountain pine beetle-killed ponderosa pine in a heterogeneous landscape using high-resolution aerial imagery

(2015) Meredith H. Gartner et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hyperspectral Remote Sensing of Mountain Pine Beetle with an Emphasis on Previsual Assessment

(2015) K. Olaf Niemann et al.   CANADIAN JOURNAL OF REMOTE SENSING

Mountain pine beetle-caused mortality over eight years in two pine hosts in mixed-conifer stands of the southern Rocky Mountains

(2014) Daniel R. West et al.   FOREST ECOLOGY AND MANAGEMENT

Modeling a Historical Mountain Pine Beetle Outbreak Using Landsat MSS and Multiple Lines of Evidence

(2014) Timothy J. Assal et al.   REMOTE SENSING OF ENVIRONMENT

Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles

(2013) Jonathan A. Walter et al.   FOREST ECOLOGY AND MANAGEMENT

Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery

(2013) Arjan J.H. Meddens et al.   REMOTE SENSING OF ENVIRONMENT

Combining land surface temperature and shortwave infrared reflectance for early detection of mountain pine beetle infestations in western Canada

(2011) Michael Sprintsin   Journal of Applied Remote Sensing

Combining dendrochronological data and the disturbance index to assess Engelmann spruce mortality caused by a spruce beetle outbreak in southern Utah, USA

(2011) R. Justin DeRose et al.   REMOTE SENSING OF ENVIRONMENT

A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

(2011) Garrett W. Meigs et al.   REMOTE SENSING OF ENVIRONMENT

The influence of the Madden-Julian Oscillation activity anomalies on Yunnan’s extreme drought of 2009–2010

(2011) JunMei Lü et al.   Science China-Earth Sciences

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

Spatial-temporal analysis of species range expansion: the case of the mountain pine beetle,Dendroctonus ponderosae

(2009) Colin Robertson et al.   JOURNAL OF BIOGEOGRAPHY

Comparison of two types of forest disturbance using multitemporal Landsat TM/ETM+ imagery and field vegetation data

(2009) Martin Hais et al.   REMOTE SENSING OF ENVIRONMENT

Radar observation and aerial capture of mountain pine beetle, Dendroctonus ponderosae Hopk. (Coleoptera: Scolytidae) in flight above the forest canopy

(2008) Peter L. Jackson et al.   CANADIAN JOURNAL OF FOREST RESEARCH