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Amelie Beucher
Amelie Beucher
Assistant Professor, Aarhus University
Подтвержден адрес электронной почты в домене agro.au.dk - Главная страница
Название
Процитировано
Процитировано
Год
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
912019
Predicting artificially drained areas by means of a selective model ensemble
AB Møller, A Beucher, BV Iversen, MH Greve
Geoderma 320, 30-42, 2018
622018
Oblique geographic coordinates as covariates for digital soil mapping
AB Møller, AM Beucher, N Pouladi, MH Greve
Soil 6 (2), 269-289, 2020
512020
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
502019
Improved disaggregation of conventional soil maps
AB Møller, B Malone, NP Odgers, A Beucher, BV Iversen, MH Greve, ...
Geoderma 341, 148-160, 2019
452019
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
412022
Mapping and monitoring peatland conditions from global to field scale
B Minasny, DV Adetsu, M Aitkenhead, RRE Artz, N Baggaley, ...
Biogeochemistry 167 (4), 383-425, 2024
402024
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
402014
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
392020
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
342022
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
312017
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
302015
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
282020
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
262022
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
Unleashing the sequestration potential of soil organic carbon under climate and land use change scenarios in Danish agroecosystems
S Gutierrez, D Grados, AB Møller, L de Carvalho Gomes, AM Beucher, ...
Science of the Total Environment 905, 166921, 2023
132023
Soil assessment in Denmark: Towards soil functional mapping and beyond
Frontiers in Soil Science 3, 2023
132023
Oblique geographic coordinates as covariates for digital soil mapping, SOIL, 6, 269–289
AB Møller, AM Beucher, N Pouladi, MH Greve
132020
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
122020
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