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GlobeLand30 shows little cropland area loss but greater fragmentation in China.

, , , , and . Int. J. Applied Earth Observation and Geoinformation, (2018)

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Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling - a case study., , , and . International Journal of Geographical Information Science, 25 (1): 65-87 (2011)Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe., and . International Journal of Geographical Information Science, 19 (2): 125-152 (2005)Globalisation, Regionalisation and Behavioural Responses of Land Use Agents., , , , , and . MABS, volume 8235 of Lecture Notes in Computer Science, page 101-114. Springer, (2013)Translating land use change to landscape change for a scenario study in Europe., , , , and . Revue Internationale de Géomatique, 18 (3): 327-344 (2008)Regional Scale Mapping of Grassland Mowing Frequency with Sentinel-2 Time Series., , , , and . Remote Sensing, 10 (8): 1221 (2018)GlobeLand30 shows little cropland area loss but greater fragmentation in China., , , , and . Int. J. Applied Earth Observation and Geoinformation, (2018)A land-use systems approach to represent land-use dynamics at continental and global scales., , and . Environmental Modelling and Software, (2012)Statistical analysis and feedback exploration of land use change determinants at local scale in the brazilian amazon., , , and . IGARSS, page 3462-3465. IEEE, (2007)Linear objects impact on grassland degradation in the typical steppe region of China., , , , and . IGARSS, page 672-675. IEEE, (2011)Introduction to the Special Issue on Spatial modeling to explore land use dynamics., and . International Journal of Geographical Information Science, 19 (2): 99-102 (2005)