R. Scarrott

Earth observation applications for coastal sustainability: potential and challenges for implementation

Shona K. Paterson, E. Politi, R. Scarrott, 2019, Anthropocene Coasts.

Mapping the heterogeneity of natural and semi-natural landscapes

Andrew K. Skidmore, Amjad Ali, R. G. Scarrott, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Interannual variability of gelatinous mesozooplankton in a temperate shelf sea: greater abundance coincides with cooler sea surface temperatures

D. Haberlin, R. Scarrott, O. Lyashevska, 2021 .

Ocean-Surface Heterogeneity Mapping (OHMA) to Identify Regions of Change

Fiona Cawkwell, Caroline Cusack, C. A. J. M. de Bie, 2021, Remote. Sens..

Absolute Baltic Sea Level Trends in the Satellite Altimetry Era: A Revisit

O. Andersen, J. Benveniste, L. Tuomi, 2021, Frontiers in Marine Science.

COMPARATIVE PERFORMANCE ANALYSIS OF A HYPER-TEMPORAL NDVI ANALYSIS APPROACH AND A LANDSCAPE-ECOLOGICAL MAPPING APPROACH

A. Skidmore, C. D. Bie, R. Scarrott, 2012 .

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.

From Land to Sea, a Review of Hypertemporal Remote Sensing Advances to Support Ocean Surface Science

Cawkwell, C. Cusack, E. O'Rourke, 2019, Water.

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..