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Kirsten M. de Beurs
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2020 – today
- 2023
- [j17]Yahui Guo
, Yi Xiao, Fanghua Hao, Xuan Zhang, Jiahao Chen, Kirsten M. de Beurs, Yuhong He, Yongshuo Fu
Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images. Int. J. Appl. Earth Obs. Geoinformation 124: 103528 (2023) - 2022
- [j16]Yahui Guo
Identifying crop phenology using maize height constructed from multi-sources images. Int. J. Appl. Earth Obs. Geoinformation 115: 103121 (2022) - [j15]Jarrett Blair
Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets. Ecol. Informatics 72: 101896 (2022) - [j14]Yahui Guo
Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams. Remote. Sens. 14(2): 244 (2022) - 2021
- [j13]Yahui Guo
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. Int. J. Appl. Earth Obs. Geoinformation 102: 102435 (2021) - [j12]James Worden, Kirsten M. de Beurs
Application of Spectral Index-Based Logistic Regression to Detect Inland Water in the South Caucasus. Remote. Sens. 13(24): 5099 (2021) - 2020
- [j11]James Worden, Kirsten M. de Beurs:
Surface water detection in the Caucasus. Int. J. Appl. Earth Obs. Geoinformation 91: 102159 (2020) - [j10]Mengmeng Li
A Bayesian characterization of urban land use configurations from VHR remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 92: 102175 (2020)
2010 – 2019
- 2018
- [j9]Emily S. Thompson, Kirsten M. de Beurs
Tracking the removal of buildings in rust belt cities with open-source geospatial data. Int. J. Appl. Earth Obs. Geoinformation 73: 471-481 (2018) - 2017
- [j8]Mengmeng Li
Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(11): 4930-4943 (2017) - 2016
- [j7]Trung V. Tran, Kirsten M. de Beurs, Jason P. Julian:
Monitoring forest disturbances in Southeast Oklahoma using Landsat and MODIS images. Int. J. Appl. Earth Obs. Geoinformation 44: 42-52 (2016) - [j6]Kirsten M. de Beurs
Disturbance analyses of forests and grasslands with MODIS and Landsat in New Zealand. Int. J. Appl. Earth Obs. Geoinformation 45: 42-54 (2016) - [j5]Dong Yan, Kirsten M. de Beurs:
Mapping the distributions of C3 and C4 grasses in the mixed-grass prairies of southwest Oklahoma using the Random Forest classification algorithm. Int. J. Appl. Earth Obs. Geoinformation 47: 125-138 (2016) - [j4]Emily Windahl, Kirsten M. de Beurs:
An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperature. Int. J. Appl. Earth Obs. Geoinformation 51: 11-27 (2016) - 2015
- [j3]Jessica J. Walker
Phenological Response of an Arizona Dryland Forest to Short-Term Climatic Extremes. Remote. Sens. 7(8): 10832-10855 (2015) - [c4]Geoffrey M. Henebry
Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America. JURSE 2015: 1-3 - 2014
- [j2]Trung V. Tran, Jason P. Julian, Kirsten M. de Beurs:
Land Cover Heterogeneity Effects on Sub-Pixel and Per-Pixel Classifications. ISPRS Int. J. Geo Inf. 3(2): 540-553 (2014)
2000 – 2009
- 2006
- [c3]Kirsten M. de Beurs, Geoffrey M. Henebry
War, Drought, and Phenology: Changes in the Land Surface Phenology of Afghanistan Since 1982. IGARSS 2006: 2432-2435 - 2004
- [j1]Kirsten M. de Beurs, Geoffrey M. Henebry
Trend analysis of the Pathfinder AVHRR Land (PAL) NDVI data for the deserts of central Asia. IEEE Geosci. Remote. Sens. Lett. 1(4): 282-286 (2004) - [c2]Kirsten M. de Beurs, Geoffrey M. Henebry, Anatoly A. Gitelson:
Regional MODIS analysis of abandoned agricultural lands in the Kazakh steppes. IGARSS 2004: 739-741 - 2002
- [c1]Geoffrey M. Henebry, Kirsten M. de Beurs, Anatoly A. Gitelson:
Land surface dynamics in Kazakhstan: Dynamic baselines and change detection. IGARSS 2002: 1060-1062
Coauthor Index
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