Theo dõi
Amelie Beucher
Amelie Beucher
Assistant Professor, Aarhus University
Email được xác minh tại agro.au.dk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Artificial neural networks and decision tree classification for predicting soil drainage classes in Denmark
A Beucher, AB Møller, MH Greve
Geoderma 352, 351-359, 2019
782019
Predicting artificially drained areas by means of a selective model ensemble
AB Møller, A Beucher, BV Iversen, MH Greve
Geoderma 320, 30-42, 2018
562018
Artificial neural network for acid sulfate soil mapping: Application to the Sirppujoki River catchment area, south-western Finland
A Beucher, P Österholm, A Martinkauppi, P Edén, S Fröjdö
Journal of Geochemical Exploration 125, 46-55, 2013
512013
Prediction of soil drainage classes in Denmark by means of decision tree classification
AB Møller, BV Iversen, A Beucher, MH Greve
Geoderma 352, 314-329, 2019
472019
Improved disaggregation of conventional soil maps
AB Møller, B Malone, NP Odgers, A Beucher, BV Iversen, MH Greve, ...
Geoderma 341, 148-160, 2019
422019
Oblique geographic coordinates as covariates for digital soil mapping
AB Møller, AM Beucher, N Pouladi, MH Greve
Soil 6 (2), 269-289, 2020
392020
Fuzzy logic for acid sulfate soil mapping: Application to the southern part of the Finnish coastal areas
A Beucher, S Fröjdö, P Österholm, A Martinkauppi, P Edén
Geoderma 226, 21-30, 2014
362014
Machine learning techniques for acid sulfate soil mapping in southeastern Finland
V Estévez, A Beucher, S Mattbäck, A Boman, J Auri, KM Björk, ...
Geoderma 406, 115446, 2022
272022
Comparing a random forest based prediction of winter wheat yield to historical yield potential
YE Roell, A Beucher, PG Møller, MB Greve, MH Greve
Agronomy 10 (3), 395, 2020
272020
Mapping potential acid sulfate soils in Denmark using legacy data and LiDAR-based derivatives
A Beucher, K Adhikari, H Breuning-Madsen, MB Greve, P Österholm, ...
Geoderma 308, 363-372, 2017
272017
Artificial neural network for mapping and characterization of acid sulfate soils: Application to Sirppujoki River catchment, southwestern Finland
A Beucher, R Siemssen, S Fröjdö, P Österholm, A Martinkauppi, P Edén
Geoderma 247, 38-50, 2015
262015
Interpretation of convolutional neural networks for acid sulfate soil classification
A Beucher, CB Rasmussen, TB Moeslund, MH Greve
Frontiers in Environmental Science 9, 809995, 2022
232022
Mapping of peat thickness using a multi-receiver electromagnetic induction instrument
A Beucher, T Koganti, BV Iversen, MH Greve
Remote Sensing 12 (15), 2458, 2020
232020
Soil organic C and N stock changes in grass-clover leys: Effect of grassland proportion and organic fertilizer
JL Jensen, AM Beucher, J Eriksen
Geoderma 424, 116022, 2022
182022
Definition and classification of Finnish acid sulfate soils
P Edén, E Rankonen, J Auri, M Yli-Halla, P Österholm, A Beucher, ...
7th International Acid Sulfate Soil Conference, Vaasa. Geological Survey Of …, 2012
172012
Mapping and monitoring peatland conditions from global to field scale
B Minasny, DV Adetsu, M Aitkenhead, RRE Artz, N Baggaley, ...
Biogeochemistry, 1-43, 2023
142023
Mapping acid sulfate soils in Finland: methods and results
P Edén, J Auri, E Rankonen, A Martinkauppi, P Österholm, A Beucher, ...
7th IASSC in Vaasa, Finland, towards harmony between land use and the …, 2012
122012
Development of hierarchical terron workflow based on gridded data–A case study in Denmark
YE Roell, Y Peng, A Beucher, MB Greve, MH Greve
Computers & geosciences 138, 104454, 2020
112020
Assessment of acid sulfate soil mapping utilizing chemical indicators in recipient waters.
A Beucher, S Fröjdö, P Österholm, J Auri, A Martinkauppi, P Eden
Bulletin of the Geological Society of Finland 87 (1), 2015
112015
Soil assessment in Denmark: Towards soil functional mapping and beyond
Frontiers in Soil Science 3, 2023
92023
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