| Digital mapping of soil organic carbon contents and stocks in Denmark K Adhikari, AE Hartemink, B Minasny, R Bou Kheir, MB Greve, MH Greve PloS one 9 (8), e105519, 2014 | 352 | 2014 |
| High‐resolution 3‐D mapping of soil texture in Denmark K Adhikari, RB Kheir, MB Greve, PK Bøcher, BP Malone, B Minasny, ... Soil Science Society of America Journal 77 (3), 860-876, 2013 | 269 | 2013 |
| Mapping soil organic matter contents at field level with Cubist, Random Forest and kriging N Pouladi, AB Møller, S Tabatabai, MH Greve Geoderma 342, 85-92, 2019 | 198 | 2019 |
| Driver-pressure-state-impact-response (DPSIR) analysis and risk assessment for soil compaction—a European perspective P Schjønning, JJH van den Akker, T Keller, MH Greve, M Lamandé, ... Advances in agronomy 133, 183-237, 2015 | 178 | 2015 |
| Preliminary estimates of contemporary soil organic carbon stocks in Denmark using multiple datasets and four scaling-up methods L Krogh, A Noergaard, M Hermansen, MH Greve, T Balstroem, ... Agriculture, Ecosystems & Environment 96 (1-3), 19-28, 2003 | 165 | 2003 |
| Constructing a soil class map of Denmark based on the FAO legend using digital techniques K Adhikari, B Minasny, MB Greve, MH Greve Geoderma 214, 101-113, 2014 | 163 | 2014 |
| Annual emissions of CH4 and N2O, and ecosystem respiration, from eight organic soils in Western Denmark managed by agriculture SO Petersen, CC Hoffmann, CM Schäfer, G Blicher-Mathiesen, ... Biogeosciences 9 (1), 403-422, 2012 | 152 | 2012 |
| Predictive mapping of soil organic carbon in wet cultivated lands using classification-tree based models: The case study of Denmark RB Kheir, MH Greve, PK Bøcher, MB Greve, R Larsen, K McCloy Journal of Environmental Management 91 (5), 1150-1160, 2010 | 140 | 2010 |
| Soil legacy data rescue via GlobalSoilMap and other international and national initiatives D Arrouays, JGB Leenaars, AC Richer-de-Forges, K Adhikari, C Ballabio, ... GeoResJ 14, 1-19, 2017 | 127 | 2017 |
| Changes in carbon stocks of D anish agricultural mineral soils between 1986 and 2009 A Taghizadeh‐Toosi, JE Olesen, K Kristensen, L Elsgaard, ... European Journal of Soil Science 65 (5), 730-740, 2014 | 113 | 2014 |
| Spatial soil zinc content distribution from terrain parameters: A GIS-based decision-tree model in Lebanon RB Kheir, MH Greve, C Abdallah, T Dalgaard Environmental Pollution 158 (2), 520-528, 2010 | 99 | 2010 |
| Generating a Danish raster-based topsoil property map combining choropleth maps and point information MH Greve, MB Greve, PK Bøcher, T Balstrøm, H Breuning-Madsen, ... Geografisk Tidsskrift-Danish Journal of Geography 107 (2), 1-12, 2007 | 95 | 2007 |
| Cation-exchange capacity pedotransfer functions for Danish soils L Krogh, H Breuning-Madsen, MH Greve Acta Agriculturae Scandinavica, Section B-Plant Soil Science 50 (1), 1-12, 2000 | 93 | 2000 |
| Modeling soil organic carbon at regional scale by combining multi-spectral images with laboratory spectra Y Peng, X Xiong, K Adhikari, M Knadel, S Grunwald, MH Greve PloS one 10 (11), e0142295, 2015 | 86 | 2015 |
| Evaluation of World Reference Base for Soil Resources and FAO Soil Map of the World using nationwide grid soil data from Denmark L Krogh, MH Greve Soil Use and Management 15 (3), 157-166, 1999 | 86 | 1999 |
| 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 | 82 | 2019 |
| Selection of terrain attributes and its scale dependency on soil organic carbon prediction Z Guo, K Adhikari, M Chellasamy, MB Greve, PR Owens, MH Greve Geoderma 340, 303-312, 2019 | 77 | 2019 |
| Digital mapping of toxic metals in Qatari soils using remote sensing and ancillary data Y Peng, RB Kheir, K Adhikari, R Malinowski, MB Greve, M Knadel, ... Remote Sensing 8 (12), 1003, 2016 | 75 | 2016 |
| Visible–near infrared spectra as a proxy for topsoil texture and glacial boundaries M Knadel, RA Viscarra Rossel, F Deng, A Thomsen, MH Greve Soil Science Society of America Journal 77 (2), 568-579, 2013 | 75 | 2013 |
| Quantifying the ability of environmental parameters to predict soil texture fractions using regression-tree model with GIS and LIDAR data: The case study of Denmark MH Greve, RB Kheir, MB Greve, PK Bøcher Ecological Indicators 18, 1-10, 2012 | 74 | 2012 |
Mette Balslev GreveGIS coordinator, Aarhus UniversityBestätigte E-Mail-Adresse bei agro.au.dk
