| A global spectral library to characterize the world's soil RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattê, ... Earth-Science Reviews 155, 198-230, 2016 | 776 | 2016 |
| Soil spectroscopy: an alternative to wet chemistry for soil monitoring M Nocita, A Stevens, B van Wesemael, M Aitkenhead, M Bachmann, ... Advances in agronomy 132, 139-159, 2015 | 473 | 2015 |
| 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 | 88 | 2015 |
| Environment versus dispersal in the assembly of western Amazonian palm communities T Kristiansen, JC Svenning, WL Eiserhardt, D Pedersen, H Brix, ... Journal of biogeography 39 (7), 1318-1332, 2012 | 88 | 2012 |
| 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 | 77 | 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 | 76 | 2013 |
| Soil organic carbon and particle sizes mapping using vis–NIR, EC and temperature mobile sensor platform M Knadel, A Thomsen, K Schelde, MH Greve Computers and Electronics in Agriculture 114, 134-144, 2015 | 67 | 2015 |
| Comparing predictive abilities of three visible-near infrared spectrophotometers for soil organic carbon and clay determination M Knadel, B Stenberg, F Deng, A Thomsen, MH Greve Journal of near infrared spectroscopy 21 (1), 67-80, 2013 | 67 | 2013 |
| Comparing predictive ability of laser-induced breakdown spectroscopy to visible near-infrared spectroscopy for soil property determination M Knadel, R Gislum, C Hermansen, Y Peng, P Moldrup, LW de Jonge, ... Biosystems engineering 156, 157-172, 2017 | 66 | 2017 |
| Applicability of the Guggenheim–Anderson–Boer water vapour sorption model for estimation of soil specific surface area E Arthur, M Tuller, P Moldrup, MH Greve, M Knadel, LW de Jonge European Journal of Soil Science 69 (2), 245-255, 2018 | 61 | 2018 |
| Multisensor on‐the‐go mapping of soil organic carbon content M Knadel, A Thomsen, MH Greve Soil Science Society of America Journal 75 (5), 1799-1806, 2011 | 59 | 2011 |
| Development of a Danish national Vis-NIR soil spectral library for soil organic carbon determination M Knadel, F Deng, A Thomsen, M Greve Digital Soil Assessments and Beyond, 403-408, 2012 | 53 | 2012 |
| Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models S Katuwal, M Knadel, T Norgaard, P Moldrup, MH Greve, LW de Jonge Geoderma 361, 114080, 2020 | 50 | 2020 |
| The effects of moisture conditions—from wet to hyper dry—on visible near‐infrared spectra of Danish reference soils M Knadel, F Deng, A Alinejadian, L Wollesen de Jonge, P Moldrup, ... Soil Science Society of America Journal 78 (2), 422-433, 2014 | 50 | 2014 |
| Predicting soil organic carbon at field scale using a national soil spectral library Y Peng, M Knadel, R Gislum, F Deng, T Norgaard, LW de Jonge, ... Journal of Near Infrared Spectroscopy 21 (3), 213-222, 2013 | 42 | 2013 |
| Complete soil texture is accurately predicted by visible near‐infrared spectroscopy C Hermansen, M Knadel, P Moldrup, MH Greve, D Karup, LW de Jonge Soil Science Society of America Journal 81 (4), 758-769, 2017 | 41 | 2017 |
| Quantification of SOC and clay content using visible near-infrared reflectance–mid-infrared reflectance spectroscopy with Jack-knifing partial least squares regression Y Peng, M Knadel, R Gislum, K Schelde, A Thomsen, MH Greve Soil science 179 (7), 325-332, 2014 | 41 | 2014 |
| Visible‐near‐infrared spectroscopy prediction of soil characteristics as affected by soil‐water content LP Marakkala Manage, MH Greve, M Knadel, P Moldrup, LW De Jonge, ... Soil Science Society of America Journal 82 (6), 1333-1346, 2018 | 39 | 2018 |
| Visible–near‐infrared spectroscopy can predict the clay/organic carbon and mineral fines/organic carbon ratios C Hermansen, M Knadel, P Moldrup, MH Greve, R Gislum, LW de Jonge Soil Science Society of America Journal 80 (6), 1486-1495, 2016 | 37 | 2016 |
| Combining X‐ray computed tomography and visible near‐infrared spectroscopy for prediction of soil structural properties S Katuwal, C Hermansen, M Knadel, P Moldrup, MH Greve, LW de Jonge Vadose Zone Journal 17 (1), 1-13, 2018 | 35 | 2018 |
