C. Bie

Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

A. Skidmore, Tiejun Wang, Xuehua Liu, 2014 .

Mapping land cover gradients through analysis of hyper-temporal NDVI imagery

Andrew K. Skidmore, Amjad Ali, C. A. J. M. de Bie, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Hyper‐temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests

A. Skidmore, Tiejun Wang, Xuehua Liu, 2013 .

Hyper-temporal SPOT-NDVI dataset parameterization captures species distributions

Andrew K. Skidmore, Atkilt Girma, C. A. J. M. de Bie, 2016, Int. J. Geogr. Inf. Sci..

Disaggregating and mapping crop statistics using hypertemporal remote sensing

Herman Van Keulen, C. A. J. M. de Bie, M. R. Khan, 2010, Int. J. Appl. Earth Obs. Geoinformation.

Photosynthetic bark: Use of chlorophyll absorption continuum index to estimate Boswellia papyrifera bark chlorophyll content

Andrew K. Skidmore, Martin Schlerf, Atkilt Girma, 2013, Int. J. Appl. Earth Obs. Geoinformation.

LaHMa: a landscape heterogeneity mapping method using hyper-temporal datasets

Andrew K. Skidmore, Amjad Ali, C. A. J. M. de Bie, 2012, Int. J. Geogr. Inf. Sci..

Understanding Boswellia papyrifera tree secondary metabolites through bark spectral analysis

Andrew K. Skidmore, Atkilt Girma, Frans Bongers, 2015 .