Markus Diesing
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Citado por
Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches
M Diesing, SL Green, D Stephens, RM Lark, HA Stewart, D Dove
Continental Shelf Research 84, 107-119, 2014
A comparison of supervised classification methods for the prediction of substrate type using multibeam acoustic and legacy grain-size data
D Stephens, M Diesing
PloS one 9 (4), e93950, 2014
Sensitivity of macrobenthic secondary production to trawling in the English sector of the Greater North Sea: A biological trait approach
SG Bolam, RC Coggan, J Eggleton, M Diesing, D Stephens
Journal of Sea Research 85, 162-177, 2014
Coastline evolution at different time scales–examples from the Pomeranian Bight, southern Baltic Sea
K Schwarzer, M Diesing, M Larson, RO Niedermeyer, W Schumacher, ...
Marine Geology 194 (1-2), 79-101, 2003
Carbon on the northwest European shelf: Contemporary budget and future influences
O Legge, M Johnson, N Hicks, T Jickells, M Diesing, J Aldridge, ...
Frontiers in Marine Science 7, 143, 2020
Combining pixel and object based image analysis of ultra-high resolution multibeam bathymetry and backscatter for habitat mapping in shallow marine waters
D Ierodiaconou, ACG Schimel, D Kennedy, J Monk, G Gaylard, M Young, ...
Marine Geophysical Research 39, 271-288, 2018
Decadal scale stability of sorted bedforms, German Bight, southeastern North Sea
M Diesing, A Kubicki, C Winter, K Schwarzer
Continental Shelf Research 26 (8), 902-916, 2006
Quantifying and valuing carbon flows and stores in coastal and shelf ecosystems in the UK
T Luisetti, RK Turner, JE Andrews, TD Jickells, S Kröger, M Diesing, ...
Ecosystem services 35, 67-76, 2019
Image-based seabed classification: what can we learn from terrestrial remote sensing?
M Diesing, P Mitchell, D Stephens
ICES Journal of Marine Science 73 (10), 2425-2441, 2016
Predicting the standing stock of organic carbon in surface sediments of the North–West European continental shelf
M Diesing, S Kröger, R Parker, C Jenkins, C Mason, K Weston
Biogeochemistry 135, 183-200, 2017
A proposed method for assessing the extent of the seabed significantly affected by demersal fishing in the Greater North Sea
M Diesing, D Stephens, J Aldridge
ICES Journal of Marine Science 70 (6), 1085-1096, 2013
Towards quantitative spatial models of seabed sediment composition
D Stephens, M Diesing
PloS one 10 (11), e0142502, 2015
A multi-model ensemble approach to seabed mapping
M Diesing, D Stephens
Journal of Sea Research 100, 62-69, 2015
Widespread rocky reef occurrence in the central English Channel and the implications for predictive habitat mapping
M Diesing, R Coggan, K Vanstaen
Estuarine, Coastal and Shelf Science 83 (4), 647-658, 2009
The physical and biological impact of sand extraction: a case study of the western Baltic Sea
JC Krause, M Diesing, G Arlt
Journal of Coastal Research, 215-226, 2010
Picking up the pieces—harmonising and collating seabed substrate data for European maritime areas
AM Kaskela, AT Kotilainen, U Alanen, R Cooper, S Green, J Guinan, ...
Geosciences 9 (2), 84, 2019
The seabed habitats of the central English Channel: a generation on from Holme and Cabioch, how do their interpretations match-up to modern mapping techniques?
R Coggan, M Diesing
Continental Shelf Research 31 (2), S132-S150, 2011
How good is my map? A tool for semi-automated thematic mapping and spatially explicit confidence assessment
PJ Mitchell, AL Downie, M Diesing
Environmental modelling & software 108, 111-122, 2018
Mapping of cold-water coral carbonate mounds based on geomorphometric features: an object-based approach
M Diesing, T Thorsnes
Geosciences 8 (2), 34, 2018
A spatially explicit comparison of quantitative and categorical modelling approaches for mapping seabed sediments using random forest
B Misiuk, M Diesing, A Aitken, CJ Brown, EN Edinger, T Bell
Geosciences 9 (6), 254, 2019
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