Land surface dynamics in Kazakhstan: Dynamic baselines and change detection. - Geoffrey M. Henebry; Kirsten M. de Beurs; Anatoly A. Gitelson (IGARSS, 2002)

Regional MODIS analysis of abandoned agricultural lands in the Kazakh steppes. - Kirsten M. de Beurs; Geoffrey M. Henebry; Anatoly A. Gitelson (IGARSS, 2004)

Trend analysis of the Pathfinder AVHRR Land (PAL) NDVI data for the deserts of central Asia. - Kirsten M. de Beurs; Geoffrey M. Henebry (IEEE Geosci. Remote. Sens. Lett., 2004)

War, Drought, and Phenology: Changes in the Land Surface Phenology of Afghanistan Since 1982. - Kirsten M. de Beurs; Geoffrey M. Henebry (IGARSS, 2006)

Land Cover Heterogeneity Effects on Sub-Pixel and Per-Pixel Classifications. - Trung V. Tran; Jason P. Julian; Kirsten M. de Beurs (ISPRS Int. J. Geo Inf., 2014)

Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America. - Geoffrey M. Henebry; Xiaoyang Zhang 001; John S. Kimball; Kirsten M. de Beurs; Christopher Small 002 (JURSE, 2015)

Phenological Response of an Arizona Dryland Forest to Short-Term Climatic Extremes. - Jessica J. Walker; Kirsten M. de Beurs; Randolph H. Wynne (Remote. Sens., 2015)

Disturbance analyses of forests and grasslands with MODIS and Landsat in New Zealand. - Kirsten M. de Beurs; Braden C. Owsley; Jason P. Julian (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Monitoring forest disturbances in Southeast Oklahoma using Landsat and MODIS images. - Trung V. Tran; Kirsten M. de Beurs; Jason P. Julian (Int. J. Appl. Earth Obs. Geoinformation, 2016)

An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperature. - Emily Windahl; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Mapping the distributions of C3 and C4 grasses in the mixed-grass prairies of southwest Oklahoma using the Random Forest classification algorithm. - Dong Yan; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images. - Mengmeng Li 002; Kirsten M. de Beurs; Alfred Stein; Wietske Bijker (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Tracking the removal of buildings in rust belt cities with open-source geospatial data. - Emily S. Thompson; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2018)

A Bayesian characterization of urban land use configurations from VHR remote sensing images. - Mengmeng Li 002; Alfred Stein; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Surface water detection in the Caucasus. - James Worden; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. - Yahui Guo; Yongshuo Fu; Shouzhi Chen; Christopher Robin Bryant; Xinxi Li; J. Senthilnath 001; Hongyong Sun; Shuxin Wang; Zhaofei Wu; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Application of Spectral Index-Based Logistic Regression to Detect Inland Water in the South Caucasus. - James Worden; Kirsten M. de Beurs; Jennifer Koch; Braden C. Owsley (Remote. Sens., 2021)

Identifying crop phenology using maize height constructed from multi-sources images. - Yahui Guo; Yi Xiao; MingWei Li; Fanghua Hao; Xuan Zhang; Hongyong Sun; Kirsten M. de Beurs; Yongshuo Fu; Yuhong He (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets. - Jarrett Blair; Michael D. Weiser; Kirsten M. de Beurs; Michael Kaspari; Cameron Siler; Katie E. Marshall (Ecol. Informatics, 2022)

Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams. - Yahui Guo; Shouzhi Chen; Yongshuo Fu; Yi Xiao; Wenxiang Wu; Hanxi Wang; Kirsten M. de Beurs (Remote. Sens., 2022)

Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images. - Yahui Guo; Yi Xiao; Fanghua Hao; Xuan Zhang; Jiahao Chen; Kirsten M. de Beurs; Yuhong He; Yongshuo Fu (Int. J. Appl. Earth Obs. Geoinformation, 2023)