Kirsten M. de Beurs

According to our database, Kirsten M. de Beurs authored at least 21 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, November, 2023

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

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

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

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

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, Hongyong Sun, Shuxin Wang, Zhaofei Wu, Kirsten M. de Beurs

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Surface water detection in the Caucasus.

James Worden, Kirsten M. de Beurs

Int. J. Appl. Earth Obs. Geoinformation, 2020

A Bayesian characterization of urban land use configurations from VHR remote sensing images.

Mengmeng Li, Alfred Stein, Kirsten M. de Beurs

Int. J. Appl. Earth Obs. Geoinformation, 2020

2018

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

2017

Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images.

Mengmeng Li, Kirsten M. de Beurs, Alfred Stein, Wietske Bijker

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

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

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

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

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

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

Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America.

Geoffrey M. Henebry, Xiaoyang Zhang, John S. Kimball, Kirsten M. de Beurs, Christopher Small

Proceedings of the Joint Urban Remote Sensing Event, 2015

2014

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

2006

War, Drought, and Phenology: Changes in the Land Surface Phenology of Afghanistan Since 1982.

Kirsten M. de Beurs, Geoffrey M. Henebry

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

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

Regional MODIS analysis of abandoned agricultural lands in the Kazakh steppes.

Kirsten M. de Beurs, Geoffrey M. Henebry, Anatoly A. Gitelson

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2002

Land surface dynamics in Kazakhstan: Dynamic baselines and change detection.

Geoffrey M. Henebry, Kirsten M. de Beurs, Anatoly A. Gitelson

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002