Michael Vohland
Michael Vohland
Chair of Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Leipzig
Bestätigte E-Mail-Adresse bei uni-leipzig.de
TitelZitiert vonJahr
Determination of soil properties with visible to near-and mid-infrared spectroscopy: Effects of spectral variable selection
M Vohland, M Ludwig, S Thiele-Bruhn, B Ludwig
Geoderma 223, 88-96, 2014
Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy
M Vohland, J Besold, J Hill, HC Fründ
Geoderma 166 (1), 198-205, 2011
Downscaling land surface temperatures at regional scales with random forest regression
C Hutengs, M Vohland
Remote Sensing of Environment 178, 127-141, 2016
Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT+ SAIL
M Vohland, S Mader, W Dorigo
International Journal of Applied Earth Observation and Geoinformation 12 (2 …, 2010
Determination of total soil organic C and hot water‐extractable C from VIS‐NIR soil reflectance with partial least squares regression and spectral feature selection techniques
M Vohland, C Emmerling
European Journal of Soil Science 62 (4), 598-606, 2011
Impact of ecologically different earthworm species on soil water characteristics
G Ernst, D Felten, M Vohland, C Emmerling
European Journal of Soil Biology 45 (3), 207-213, 2009
Estimating structural and biochemical parameters for grassland from spectroradiometer data by radiative transfer modelling (PROSPECT+ SAIL)
M Vohland, T Jarmer
International Journal of Remote Sensing 29 (1), 191-209, 2008
A spectroscopic approach to assess trace–heavy metal contents in contaminated floodplain soils via spectrally active soil components
M Vohland, C Bossung, HC Fründ
Journal of Plant Nutrition and Soil Science 172 (2), 201-209, 2009
Remote sensing techniques for forest parameter assessment: multispectral classification and linear spectral mixture analysis
M Vohland, J Stoffels, C Hau, G Schuler
Silva Fennica 41 (3), 441, 2007
Estimation of some chemical properties of an agricultural soil by spectroradiometric measurements
T Jarmer, M Vohland, H Lilienthal, E Schnug
Pedosphere 18 (2), 163-170, 2008
The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area
R Richter, B Reu, C Wirth, D Doktor, M Vohland
International journal of applied earth observation and geoinformation 52 …, 2016
Usefulness of near‐infrared spectroscopy for the prediction of chemical and biological soil properties in different long‐term experiments
S Heinze, M Vohland, RG Joergensen, B Ludwig
Journal of Plant Nutrition and Soil Science 176 (4), 520-528, 2013
Near‐infrared spectroscopy (NIRS) predicts non‐structural carbohydrate concentrations in different tissue types of a broad range of tree species
JA Ramirez, JM Posada, IT Handa, G Hoch, M Vohland, C Messier, B Reu
Methods in Ecology and Evolution 6 (9), 1018-1025, 2015
Estimation of photosynthesis traits from leaf reflectance spectra: correlation to nitrogen content as the dominant mechanism
B Dechant, M Cuntz, M Vohland, E Schulz, D Doktor
Remote sensing of environment 196, 279-292, 2017
Derivation of forest leaf area index from multi-and hyperspectral remote sensing data
M Schlerf, C Atzberger, M Vohland, H Buddenbaum, S Seeling, J Hill
EARSeL eProceedings 3 (3), 405-413, 2004
Use of a portable camera for proximal soil sensing with hyperspectral image data
A Jung, M Vohland, S Thiele-Bruhn
Remote Sensing 7 (9), 11434-11448, 2015
Using variable selection and wavelets to exploit the full potential of visible–near infrared spectra for predicting soil properties
M Vohland, M Ludwig, M Harbich, C Emmerling, S Thiele-Bruhn
Journal of Near Infrared Spectroscopy 24 (3), 255-269, 2016
Validation of a large scale hydrological model with data fields retrieved from reflective and thermal optical remote sensing data–A case study for the Upper Rhine Valley
MC Casper, M Vohland
Physics and Chemistry of the Earth, Parts A/B/C 33 (17-18), 1061-1067, 2008
Crop classification with hyperspectral data of the HyMap sensor using different feature extraction techniques
S Mader, M Vohland, T Jarmer, M Casper
Center for Remote Sensing of Land Surfaces 28, 30, 2006
The use of laboratory spectroscopy and optical remote sensing for estimating soil properties
J Hill, T Udelhoven, M Vohland, A Stevens
Precision Crop Protection-the Challenge and Use of Heterogeneity, 67-85, 2010
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