J. Ronald Eastman

Environmental Science · Physical Sciences

26h-index4.6kcitations60works0.02yr avg
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Research Topics

Remote Sensing in Agriculture(20), Land Use and Ecosystem Services(20), Remote-Sensing Image Classification(11), Climate variability and models(9), Species Distribution and Climate Change(7)

Publications60 total

A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery
arXiv (Cornell University)·2023Open Access
High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales
Frontiers in Artificial Intelligence·2022· 32 citedOpen Access
Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance
Remote Sensing of Environment·2021· 63 cited
High resolution, annual maps of the characteristics of smallholder-dominated croplands at national scales
2021· 1 citedOpen Access
Thirty years of forest-cover change in Western Rwanda during periods of wars and environmental policy shifts
Regional Environmental Change·2021· 26 cited
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection
Remote Sensing of Environment·2020· 116 citedOpen Access
A Regression-Based Procedure for Markov Transition Probability Estimation in Land Change Modeling
Land·2020· 23 citedOpen Access
Accounting for Training Data Error in Machine Learning Applied to Earth Observations
Remote Sensing·2020· 99 citedOpen Access
A Sequential Autoencoder for Teleconnection Analysis
Remote Sensing·2020· 9 citedOpen Access
A weighted normalized likelihood procedure for empirical land change modeling
Modeling Earth Systems and Environment·2019· 9 cited
A Short Presentation of CA_MARKOV
Lecture notes in geoinformation and cartography·2017· 9 cited
A Short Presentation of the Land Change Modeler (LCM)
Lecture notes in geoinformation and cartography·2017· 69 cited
Distinguishing Land Change from Natural Variability and Uncertainty in Central Mexico with MODIS EVI, TRMM Precipitation, and MODIS LST Data
Remote Sensing·2016· 5 citedOpen Access
Appendix A. Dominant species in forests of the southern Yucatán.
Figshare·2016Open Access
Appendix B. Numbers of individuals trapped and netted during 1997 in two forest types and their derived secondary forest of two age classes.
Figshare·2016Open Access
Quantifying uncertainty and confusion in land change analyses: a case study from central Mexico using MODIS data
GIScience & Remote Sensing·2015· 10 cited
Characterizing implications of two-dimensional space–time orientations for principal component analysis of geographic time series
International Journal of Remote Sensing·2015· 2 cited
Novel approaches in Extended Principal Component Analysis to compare spatio-temporal patterns among multiple image time series
Remote Sensing of Environment·2014· 29 cited
Land transitions from multivariate time series: using seasonal trend analysis and segmentation to detect land-cover changes
International Journal of Remote Sensing·2014· 16 cited
Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
Remote Sensing·2013· 268 citedOpen Access
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Frequent Co-authors

John Rogan(12), Florencia Sangermano(8), James Toledano(8), Neeti Neeti(5), Honglei Zhu(5), B. L. Turner(5), Su Ye(4), Stefano Crema(3), Zachary Christman(3), Hong Jiang(2), Elia Machado de Oliveira(2), Assaf Anyamba(2), Bardan Ghimire(2), Hao Chen(2), Henricus F. M. Vester(2), Deborah Lawrence(2), Rebecca Dickson(2), Zhe Zhu(2), Ryan Avery(2), K. K. Caylor(2)