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P. Townsend, Aditya Singh, J. Foster, Nate Rehberg, Clayton Kingdon, K. Eshleman, S. Seagle (2012)
A general Landsat model to predict canopy defoliation in broadleaf deciduous forestsRemote Sensing of Environment, 119
H. Wickham, Mara Averick, Jennifer Bryan, Winston Chang, Lucy McGowan, Romain François, Garrett Grolemund, Alex Hayes, Lionel Henry, J. Hester, M. Kuhn, Thomas Pedersen, Evan Miller, S. Bache, K. Müller, Jeroen Ooms, David Robinson, D. Seidel, Vitalie Spinu, Kohske Takahashi, Davis Vaughan, Claus Wilke, Kara Woo, Hiroaki Yutani (2019)
Welcome to the TidyverseJ. Open Source Softw., 4
N. Gorelick, Matt Hancher, M. Dixon, S. Ilyushchenko, D. Thau, R. Moore (2017)
Google Earth Engine: Planetary-scale geospatial analysis for everyoneRemote Sensing of Environment, 202
N. Coops, C. Shang, M. Wulder, J. White, T. Hermosilla (2020)
Change in forest condition: Characterizing non-stand replacing disturbances using time series satellite imageryForest Ecology and Management, 474
E. Conrad‐Rooney, A. Barker Plotkin, V.J. Pasquarella, J. Elkinton, J.L. Chandler, J.H. Matthes (2020)
Defoliation severity is positively related to soil solution nitrogen availability and negatively related to soil nitrogen concentrations following a multi?year invasive insect irruption, 12
D. Lüdecke, Philip Waggoner, D. Makowski (2019)
insight: A Unified Interface to Access Information from Model Objects in RJ. Open Source Softw., 4
T. Andreadis, R. Weseloh (1990)
Discovery of Entomophaga maimaiga in North American gypsy moth, Lymantria dispar.Proceedings of the National Academy of Sciences of the United States of America, 87 7
(2021)
The Authors. Remote Sensing in Ecology and Conservation
J. Jepsen, S. Hagen, K. Høgda, R. Ims, S. Karlsen, H. Tømmervik, N. Yoccoz (2009)
Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI dataRemote Sensing of Environment, 113
E. Crist (1985)
A TM Tasseled Cap equivalent transformation for reflectance factor dataRemote Sensing of Environment, 17
(2008)
R: A language and environment for statistical computing
J. Logan, J. Régnière, J. Powell (2003)
Assessing the impacts of global warming on forest pest dynamicsFrontiers in Ecology and the Environment, 1
C. Tucker (1979)
Red and photographic infrared linear combinations for monitoring vegetationRemote Sensing of Environment, 8
Andrew Liebhold, J. Elkinton, D. Williams, R. Muzika (2000)
What causes outbreaks of the gypsy moth in North America?Population Ecology, 42
Bitterlich W. (1947)
94Allg. Forest. Holzwirtsch, Ztg, 58
F. Kriegler, W. Malila, R. Nalepka, W. Richardson (1969)
Preprocessing Transformations and Their Effects on Multispectral Recognition
C. Rullán-Silva, A. Olthoff, J. Mata, J. Pajares-Alonso (2013)
Remote Monitoring of Forest Insect Defoliation -A Review-Forest Systems, 22
Valerie Pasquarella, J. Elkinton, B. Bradley (2018)
Extensive gypsy moth defoliation in Southern New England characterized using Landsat satellite observationsBiological Invasions, 20
Cornelius Senf, R. Seidl, P. Hostert (2017)
Remote sensing of forest insect disturbances: Current state and future directionsInternational journal of applied earth observation and geoinformation : ITC journal, 60
V. Dale, L. Joyce, S. McNulty, R. Neilson, M. Ayres, M. Flannigan, P. Hanson, L. Irland, A. Lugo, C. Peterson, D. Simberloff, F. Swanson, B. Stocks, B. WOTTON (2001)
Climate Change and Forest Disturbances, 51
D. Wagner (2017)
Caterpillars of Eastern North America
(2018)
Forest condition monitoring using Google Earth Engine
Zhe Zhu, C. Woodcock, Christopher Holden, Zhiqiang Yang (2015)
Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given timeRemote Sensing of Environment, 162
J. Foster, P. Townsend, D. Mladenoff (2013)
Spatial dynamics of a gypsy moth defoliation outbreak and dependence on habitat characteristicsLandscape Ecology, 28
J. Elkinton, Andrew Liebhold (1990)
POPULATION DYNAMICS OF GYPSY MOTH IN NORTH AMERICAAnnual Review of Entomology, 35
(2020)
Satellite-based evidence of forest stress and decline across the conterminous United States for 2016, 2017, and 2018
E. Crist, R. Kauth (1986)
The Tasseled Cap de-mystifiedPhotogrammetric Engineering and Remote Sensing, 52
J. Douma, J. Weedon (2019)
Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regressionMethods in Ecology and Evolution, 10
S. Richards (2007)
Dealing with overdispersed count data in applied ecologyJournal of Applied Ecology, 45
J. Elkinton, Tonya Bittner, Valerie Pasquarella, G. Boettner, Andrew Liebhold, J. Gould, H. Faubert, L. Tewksbury, Hannah Broadley, N. Havill, A. Hajek (2019)
Relating Aerial Deposition of Entomophaga maimaiga Conidia (Zoopagomycota: Entomophthorales) to Mortality of Gypsy Moth (Lepidoptera: Erebidae) Larvae and Nearby DefoliationEnvironmental Entomology, 48
J. Spruce, S. Sader, R. Ryan, J. Smoot, P. Kuper, K. Ross, D. Prados, J. Russell, G. Gasser, R. McKellip, W. Hargrove (2011)
Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaksRemote Sensing of Environment, 115
Shinichi Nakagawa, H. Schielzeth (2013)
A general and simple method for obtaining R2 from generalized linear mixed‐effects modelsMethods in Ecology and Evolution, 4
P. Vogt, K. Riitters, C. Estreguil, J. Kozak, T. Wade, J. Wickham (2007)
Mapping Spatial Patterns with Morphological Image ProcessingLandscape Ecology, 22
B. Rock, J. Vogelmann, D. Williams, A. Vogelmann, T. Hoshizaki (1986)
Remote detection of forest damageBioScience, 36
Impacts of a regional multi-year insect defoliation event on seasonal water yield and instantaneous streamflow characteristics
W. Hargrove, J. Spruce, G. Gasser, F. Hoffman (2009)
Toward a national early warning system for forest disturbances using remotely sensed canopy phenologyPhotogrammetric Engineering and Remote Sensing, 75
Andreadis T.G. (1990)
2461Proceedings of the National Academy of Sciences, 87
(2018)
Landsat-based gypsy moth defoliation assessment (Southern New England) (Version 3.0)
(2020)
bbmle: Tools for general maximum likelihood estimation
R. Chávez, Ronald Rocco, Á. Gutiérrez, M. Dörner, S. Estay (2019)
A Self-Calibrated Non-Parametric Time Series Analysis Approach for Assessing Insect Defoliation of Broad-Leaved Deciduous Nothofagus pumilio ForestsRemote. Sens., 11
Valerie Pasquarella, B. Bradley, C. Woodcock (2017)
Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time SeriesForests, 8
D. Lüdecke (2019)
sjPlot: Data Visualization for Statistics in Social Science. R package version 2.8.1
D. Lüdecke (2018)
Sjplot - Data Visualization For Statistics In Social Science.
M. Mcmanus (1981)
The Gypsy Moth: Research Toward Integrated Pest Management
K. deBeurs, P. Townsend (2008)
Estimating the effect of gypsy moth defoliation using MODISRemote Sensing of Environment, 112
V.H. Dale, L.A. Joyce, S. Mcnulty, R.P. Neilson, M.P. Ayres, M.D. Flannigan (2001)
Climate change and forest disturbances: climate change can affect forests by altering the frequency, intensity, duration, and timing of fire, drought, introduced species, insect and pathogen outbreaks, hurricanes, windstorms, ice storms, or landslides, 51
(2016)
TCC product suite
A. Hajek, R. Humber, J. Elkinton (1995)
Mysterious Origin of Entom haga malmalga in North AmericaAmerican Entomologist, 41
A.R. Huete, H. Liu, W.J. Leeuwen (1997)
IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing ? A Scientific Vision for Sustainable Development, 4
A. Huete, Huiqing Liu, W. Leeuwen (1997)
The use of vegetation indices in forested regions: issues of linearity and saturationIGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development, 4
A. Liebhold, K. Thorpe, J. Ghent, D.B. Lyons (1994)
Gypsy moth egg mass sampling for decision?making: a users' guide
E. Conrad-Rooney, A. Plotkin, Valerie Pasquarella, J. Elkinton, Jennifer Chandler, J. Matthes
ScholarWorks@UMass Amherst ScholarWorks@UMass Amherst
Perola Olsson, J. Lindström, L. Eklundh (2016)
Near real-time monitoring of insect induced defoliation in subalpine birch forests with MODIS derived NDVIRemote Sensing of Environment, 181
M. Brooks, K. Kristensen, K. Benthem, A. Magnusson, Casper Berg, Anders Nielsen, H. Skaug, M. Mächler, B. Bolker (2017)
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed ModelingR J., 9
(2020)
Development Core Team
J. Régnière (1996)
Generalized Approach to Landscape-Wide Seasonal Forecasting with Temperature-Driven Simulation ModelsEnvironmental Entomology, 25
(1947)
Measurement of basal area per hectare by means of angle measurement
B.N. Rock, J.E. Vogelmann, D.L. Williams, A.F. Vogelmann, T. Hoshizaki (1986)
Remote detection of forest damage: Plant responses to stress may have spectral ?signatures? that could be used to map, monitor, and measure forest damage, 36
J. Dukes, J. Pontius, David Orwig, J. Garnas, Vikki Rodgers, N. Brazee, Barry Cooke, Kathleen Theoharides, Erik Stange, R. Harrington, Joan Ehrenfeld, J. Gurevitch, M. Lerdau, Kristina Stinson, Robert Wick, M. Ayres (2009)
Responses of insect pests, pathogens, and invasive plant species to climate change in the forests of northeastern North America: what can we predict?Canadian Journal of Forest Research, 39
D. Wagner (2005)
Caterpillars of Eastern North America: A Guide to Identification and Natural History
A. Huete, K. Didan, T. Miura, E. Rodriguez, Xiang Gao, L. Ferreira (2002)
Overview of the radiometric and biophysical performance of the MODIS vegetation indicesRemote Sensing of Environment, 83
A. Hajek, S. Nouhuys (2016)
Fatal diseases and parasitoids: from competition to facilitation in a shared hostProceedings of the Royal Society B: Biological Sciences, 283
S.P. Norman, W.M. Christie (2020)
Satellite?based evidence of forest stress and decline across the conterminous United States for 2016, 2017, and 2018. Gen. Tech. Rep. SRS?250
S. Richards (2005)
TESTING ECOLOGICAL THEORY USING THE INFORMATION‐THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTSEcology, 86
Tingting Shi, Hanqiu Xu (2019)
Derivation of Tasseled Cap Transformation Coefficients for Sentinel-2 MSI At-Sensor Reflectance DataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12
Ray Jackson, Alfredo Huete (1991)
Interpreting vegetation indicesPreventive Veterinary Medicine, 11
(1994)
Gypsy moth egg mass sampling for decision-making: a users' guide. Radnor, PA: United States Department of Agriculture
Remote Sensing in Ecology and Conservation – Wiley
Published: Dec 1, 2021
Keywords: Defoliation; forest pests; Google Earth Engine; gypsy moth; Landsat time series; remote sensing
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