Jon Olav Skoien
Jon Olav Skoien
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Title
Cited by
Cited by
Year
Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites
AS Belward, JO Skøien
ISPRS Journal of Photogrammetry and Remote Sensing 103, 115-128, 2015
2582015
Top-kriging - geostatistics on stream networks
JO Skøien, R Merz, G Blöschl
Hydrology and Earth System Sciences 10 (2), 277-287, 2006
2202006
Characteristic space scales and timescales in hydrology
JO Skøien, G Blöschl, AW Western
Water Resources Research 39 (10), 1304, 2003
1932003
Characteristic space scales and timescales in hydrology
JO Skøien, G Blöschl, AW Western
Water Resources Research 39 (10), 2003
1932003
Spatiotemporal topological kriging of runoff time series
JO Skøien, G Blöschl
Water Resources Research 43 (9), W09419, 2007
1122007
INTAMAP: the design and implementation of an interoperable automated interpolation web service
E Pebesma, D Cornford, G Dubois, G Heuvelink, D Hristopulos, J Pilz, ...
Computers & Geosciences 37 (3), 343-352, 2011
882011
Mapping ignorance: 300 years of collecting flowering plants in Africa
J Stropp, RJ Ladle, AC M. Malhado, J Hortal, J Gaffuri, W H. Temperley, ...
Global Ecology and Biogeography 25 (9), 1085-1096, 2016
642016
Spatial prediction on river networks: comparison of top‐kriging with regional regression
G Laaha, JO Skøien, G Blöschl
Hydrological Processes 28 (2), 315-324, 2014
592014
eHabitat, a multi-purpose Web Processing Service for ecological modeling
G Dubois, M Schulz, J Skøien, L Bastin, S Peedell
Environmental Modelling & Software 41, 123-133, 2013
592013
Smooth regional estimation of low-flow indices: physiographical space based interpolation and top-kriging
S Castiglioni, A Castellarin, A Montanari, JO Skøien, G Laaha, G Blöschl
Hydrology and Earth System Sciences 15 (3), 715-727, 2011
572011
Sciences Smooth regional estimation of low-flow indices: physiographical space based interpolation and top-kriging
SC Hydrology, A Castellarin, A Montanari, JO Skøien, G Laaha
57*2011
Integrating field sampling, spatial statistics and remote sensing to map wetland vegetation in the Pantanal, Brazil
J Arieira, DJ Karssenberg, SM De Jong, EA Addink, EG Couto, ...
Biogeosciences 8, 667-686, 2011
502011
Catchments as space-time filters--a joint spatio-temporal geostatistical analysis of runoff and precipitation.
JO Skøien, G Blöschl
Hydrology & Earth System Sciences 10 (5), 2006
502006
Catchments as space-time filters–a joint spatio-temporal geostatistical analysis of runoff and precipitation
JO Skøien, G Blöschl
Hydrol. Earth Syst. Sci 10, 645-662, 2006
502006
Sampling scale effects in random fields and implications for environmental monitoring
JO Skøien, G Blöschl
Environmental Monitoring and Assessment 114 (1-3), 521-552, 2006
492006
Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?
SA Archfield, A Pugliese, A Castellarin, JO Skøien, JE Kiang
Hydrology and Earth System Sciences 17 (4), 1575-1588, 2013
472013
Scale effects in estimating the variogram and implications for soil hydrology
JO Skøien, G Blöschl
Vadose Zone Journal 5 (1), 153-167, 2006
362006
rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks
JO Skøien, G Blöschl, G Laaha, E Pebesma, J Parajka, A Viglione
Computers & Geosciences 67, 180-190, 2014
352014
Prediction of runoff hydrographs in ungauged basins
J Parajka, V Andréassian, SA Archfield, A Bárdossy, G Blöschl, F Chiew, ...
Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and …, 2013
332013
Spatial prediction of stream temperatures using Top-kriging with an external drift
G Laaha, JO Skøien, F Nobilis, G Blöschl
Environmental Modeling & Assessment 18 (6), 671-683, 2013
262013
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