Follow
Maria Knadel
Maria Knadel
Researcher, Aarhus University
Verified email at agrsci.dk
Title
Cited by
Cited by
Year
A global spectral library to characterize the world's soil
RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattę, ...
Earth-Science Reviews 155, 198-230, 2016
7422016
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
4502015
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
852012
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
842015
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
742013
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
722016
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
642015
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
622013
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
602017
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
572011
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
552018
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
512012
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
492014
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
442020
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
402017
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
402014
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
392013
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
372018
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
362018
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
342016
The system can't perform the operation now. Try again later.
Articles 1–20