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ORCIDC. A. J. M. de Bie
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- affiliation: University of Twente, Faculty of Geo-information Science and Earth Observation, Enschede, The Netherlands
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2020 – today
- 2023
[j16]Manushi B. Trivedi
, Michael T. Marshall, Lyndon D. Estes, C. A. J. M. de Bie, Ling Chang, Andrew Nelson:
Cropland Mapping in Tropical Smallholder Systems with Seasonally Stratified Sentinel-1 and Sentinel-2 Spectral and Textural Features. Remote. Sens. 15(12): 3014 (2023)- 2021
- [j15]Rory Gordon Scarrott, Fiona Cawkwell, Mark Jessopp, Caroline Cusack, Eleanor O'Rourke, C. A. J. M. de Bie:
Ocean-Surface Heterogeneity Mapping (OHMA) to Identify Regions of Change. Remote. Sens. 13(7): 1283 (2021) - 2020
- [j14]Eduard Westinga, Ana Patricia Ruiz Beltran, Cees A. J. M. de Bie, Hein A. M. J. van Gils:
A novel approach to optimize hierarchical vegetation mapping from hyper-temporal NDVI imagery, demonstrated at national level for Namibia. Int. J. Appl. Earth Obs. Geoinformation 91: 102152 (2020)
2010 – 2019
- 2019
- [j13]Lucas De Oto, Anton Vrieling, Francesco Fava, Kees de Bie:
Exploring improvements to the design of an operational seasonal forage scarcity index from NDVI time series for livestock insurance in East Africa. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j12]Sonia Asilo, Andrew Nelson, Kees de Bie, Andrew K. Skidmore, Alice G. Laborte, Aileen A. Maunahan, Eduardo Jimmy P. Quilang:
Relating X-band SAR Backscattering to Leaf Area Index of Rice in Different Phenological Phases. Remote. Sens. 11(12): 1462 (2019) - [j11]Michael T. Marshall, Sophie Crommelinck, Divyani Kohli, Christoph Perger, Michael Ying Yang, Aniruddha Ghosh, Steffen Fritz, Kees de Bie, Andy Nelson:
Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery. Remote. Sens. 11(18): 2082 (2019) - 2016
- [j10]Atkilt Girma, C. A. J. M. de Bie, Andrew K. Skidmore, Valentijn Venus, Frans Bongers:
Hyper-temporal SPOT-NDVI dataset parameterization captures species distributions. Int. J. Geogr. Inf. Sci. 30(1): 89-107 (2016) - 2014
- [j9]Amjad Ali, C. A. J. M. de Bie, Andrew K. Skidmore, Rory Gordon Scarrott, Petros Lymberakis:
Mapping the heterogeneity of natural and semi-natural landscapes. Int. J. Appl. Earth Obs. Geoinformation 26: 176-183 (2014) - [j8]Anton Vrieling, Michele Meroni, Apurba Shee, Andrew G. Mude, Joshua Woodard, C. A. J. M. de Bie, Felix Rembold:
Historical extension of operational NDVI products for livestock insurance in Kenya. Int. J. Appl. Earth Obs. Geoinformation 28: 238-251 (2014) - [j7]Sonia Asilo, Kees de Bie, Andrew K. Skidmore, Andrew Nelson, Massimo Barbieri, Aileen A. Maunahan:
Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR. Remote. Sens. 6(12): 12789-12814 (2014) - 2013
- [j6]Atkilt Girma, Andrew K. Skidmore, C. A. J. M. de Bie, Frans Bongers, Martin Schlerf:
Photosynthetic bark: Use of chlorophyll absorption continuum index to estimate Boswellia papyrifera bark chlorophyll content. Int. J. Appl. Earth Obs. Geoinformation 23: 71-80 (2013) - [j5]Amjad Ali, C. A. J. M. de Bie, Andrew K. Skidmore, Rory Gordon Scarrott, Amina Hamad, Valentijn Venus, Petros Lymberakis:
Mapping land cover gradients through analysis of hyper-temporal NDVI imagery. Int. J. Appl. Earth Obs. Geoinformation 23: 301-312 (2013) - [j4]Amjad Ali, C. A. J. M. de Bie, Andrew K. Skidmore:
Detecting long-duration cloud contamination in hyper-temporal NDVI imagery. Int. J. Appl. Earth Obs. Geoinformation 24: 22-31 (2013) - 2012
- [j3]Max Craglia, Kees de Bie, Davina Jackson, Martino Pesaresi, Gábor Remetey-Fülöpp, Changlin Wang, Alessandro Annoni, Ling Bian, Fred Campbell, Manfred Ehlers, John L. van Genderen, Michael F. Goodchild, Huadong Guo, Anthony Lewis, Richard Simpson, Andrew K. Skidmore, Peter Woodgate:
Digital Earth 2020: towards the vision for the next decade. Int. J. Digit. Earth 5(1): 4-21 (2012) - [j2]C. A. J. M. de Bie, Thi Thu Ha Nguyen, Amjad Ali, Rory Gordon Scarrott, Andrew K. Skidmore:
LaHMa: a landscape heterogeneity mapping method using hyper-temporal datasets. Int. J. Geogr. Inf. Sci. 26(11): 2177-2192 (2012) - 2010
- [j1]Mobushir Riaz Khan, C. A. J. M. de Bie, Herman Van Keulen, E. M. A. Smaling, Raimundo Real:
Disaggregating and mapping crop statistics using hypertemporal remote sensing. Int. J. Appl. Earth Obs. Geoinformation 12(1): 36-46 (2010)
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