dr.ir. C.A.J.M. de Bie (Kees)

Toxopeus, A. G. , de Bie, C. A. J. M. , Kloosterman, E. H., Mbaluka, J. K., Mwangi, P. K. , & Boerboom, L. G. J. (2022). Rangelands vegetation mapping at species composition level using the SPiCla method: SDM based pixel classification and fuzzy accuracy - A new approach of map making. 1. Paper presented at Joint International Grassland & International Rangeland Kenya 2021 Virtual Congress., Nairobi, Kenya. https://uknowledge.uky.edu/igc/24/1/45/

de Bie, C. A. J. M. , & Nelson, A. D. (2021). Next generation crop production analytics: Dynamic area sampling frames for improved crop analytics. Enabling Crop Analytics at Scale. https://cropanalytics.net/wp-content/uploads/2021/11/D4.1-Dynamic-Area-Sampling.pdf

Boerboom, L. G. J. , Ohuru, R. O. , Toxopeus, A. G. , Nieuwenhuis, W. , de Bie, C. A. J. M., Mwangi, P. K. , Schouwenburg, M. , & Lemmens, R. L. G. (2021). MARIS: Scalable online scenario development tool for rangeland conservancy managers using high spatial-temporal resolution carrying capacity maps and livestock market data. 1-4. Paper presented at XXIV INTERNATIONAL GRASSLAND CONGRESS / XI INTERNATIONAL RANGELAND CONGRESS, Nairobi, Kenya. https://uknowledge.uky.edu/igc/24/7/25/

Ocen, E. , de Bie, C. A. J. M., & Onyutha, C. (2021). Investigating false start of the main growing season: A case of Uganda in East Africa. Heliyon, 7(11), 1-16. [e08428]. https://doi.org/10.1016/j.heliyon.2021.e08428

Scarrott, R. G., Cawkwell, F., Jessopp, M., Cusack, C., O’Rourke, E. , & de Bie, C. A. J. M. (2021). Ocean-surface Heterogeneity Mapping (OHMA) to identify regions of change. Remote sensing, 13(7), 1-33. [1283]. https://doi.org/10.3390/rs13071283

Kalwar, O. P. P. , Hussin, Y. A. , Weir, M. J. C. , de Bie, C. A. J. M., & Karna, Y. (2021). Deriving forest plot inventory parameters using terrestrial laser scanning in the tropical rainforest of Malaysia. International journal of remote sensing, 42(3), 884-901. https://doi.org/10.1080/01431161.2020.1817606

Westinga, E., Beltran, A. P. R. , De Bie, C. A. J. M., & Van Gils, H. A. M. J. (2020). A novel approach to optimize hierarchical vegetation mapping from hyper-temporal NDVI imagery, demonstrated at national level for Namibia. International Journal of Applied Earth Observation and Geoinformation, 91, 1-11. [102152]. https://doi.org/10.1016/j.jag.2020.102152

Nguyen, T. T. H., Nguyen, L. V. , de Bie, C. A. J. M., Ciampitti, I., Nguyen, D. A., Nguyen, M. V., Schwalbert, R., & Nguyen, L. V. (2020). Mapping maize cropping patterns in Dak Lak, Vietnam through MODIS EVI time series. Agronomy, 10(4), 1-16. [ 478]. https://doi.org/10.3390/agronomy10040478

Mohammed, I. , Marshall, M. T. , de Bie, C. A. J. M., Estes, L. , & Nelson, A. D. (2020). A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes. ISPRS journal of photogrammetry and remote sensing, 161, 233-245. https://doi.org/10.1016/j.isprsjprs.2020.01.024

Scarrott, R. G., Cawkwell, F., Jessopp, M., Cusack, C. , & de Bie, C. A. J. M. (2019). Characterising the nature of ocean-surface heterogeneity extracted from hypertemporal Earth Observation data. Abstract from EGU General Assembly 2019, Vienna, Austria. https://meetingorganizer.copernicus.org/EGU2019/EGU2019-17716.pdf

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University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 4-143
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