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Beiträge in Zeitschriften (peer-reviewed, ISI-listed)

Veröffentlichungen aktueller Mitarbeiter sowie am IfG erstellte Publikationen ehemaliger Mitarbeiter


Seidel, M., C. Hutengs, F., Oertel, D. Schwefel, A. Jung, M. Vohland. Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes. Remote Sensing 12(11), 1745. link

Greenberg, I., D. Linsler, M. Vohland, B. Ludwig, 2020. Robustness of visible/near and mid-infrared spectroscopic models to changes in the quantity and quality of crop residues in soil. Soil Science Society of America Journal, 2020, 1-15.

Richter, R., A. Heim, W. Heim, J. Kamp, M. Vohland, 2020. Combining Multiband Remote Sensing and Hierarchical Distance Sampling to Establish Drivers of Bird Abundance. Remote Sensing 12 (1), 38. link


Elle, O., R. Richter, M. Vohland, A. Weigelt, 2019. Fine root lignin content is well predictable with near-infrared spectroscopy. Scientific Reports 9, 6396. link

Hutengs, C., M. Seidel, F. Oertel, B. Ludwig, M. Vohland, 2019. In situ and laboratory soil spectroscopy with portable visible-to-near-infrared and mid-infrared instruments for the assessment of organic carbon in soils. Geoderma, 355, 113900. link

Khorshid, M.S.H., J. Kruse, S. Semella, M. Vohland, J.-F. Wagner, S. Thiele-Bruhn, 2019. Phosphorus fractions and speciation in rural and urban calcareous soils in the semiarid region of Sulaimani city, Kurdistan, Iraq. Environmental Earth Sciences 78: 531. link

Lausch, A., J. Baade, L. Bannehr, E. Borg, J. Bumberger, … M. Vohland, R. Wagner, U. Weber, U. Werban, U. Wollschläger, S. Zacharias. M.E. Schaepman, 2019. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity – Part I: Soil Characteristics. Remote Sensing 11 (20), 2356. link

Ludwig, B., R. Murugan, V.R. Ramakrishna Parama, M. Vohland, 2019. Accuracy of estimating soil properties with mid-infrared spectroscopy:  Implications of different chemometric approaches and software packages related to calibration sample size. Soil Science Society of America Journal (SSSAJ) – Nutrient Management & Soil & Plant Analysis, doi:10.2136/sssaj2018.11.0413.  link

Naegeli de Torres, F., R. RichterM. Vohland, 2019. A multisensoral approach for high-resolution land cover and degradation mapping in the humid tropics: A case study of the fragmented landscape of Rio de Janeiro. Int. J. Appl. Earth Obs. 78, 189-201. link

Seidel, M., C. Hutengs, B. Ludwig, S. Thiele-Bruhn, M. Vohland, 2019. Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations. Geoderma, 354, 113856. link


Hutengs, C., B. Ludwig, A. Jung, A. Eisele, M. Vohland, 2018. Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. Sensors 18(4), 993.  link

Ludwig, B., R. Murugan, V.R. Ramakrishna Parama, M. Vohland, 2018. Use of different chemometric approaches for an estimation of soil properties at field scale with near infrared spectroscopy. Journal of Plant Nutrition and Soil Science (JPNSS), 181, 704-713.  link


Dechant, B., M. Cuntz, M. Vohland, E. Schulz, D. Doktor, 2017. Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism. Remote Sensing of Environment 196, 279-292.  link

Lange, M., B. Dechant, C. Rebmann, M. Vohland, M. Cuntz, D. Doktor, 2017. Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors. Sensors  17(8), 1855. link

Linsler, D., A. Sawallisch, H. Höper, H. Schmidt, M. Vohland, B. Ludwig. Near-infrared spectroscopy for determination of soil organic C, microbial biomass C and C and N fractions in a heterogeneous sample of German arable surface soils. Archives of Agronomy and Soil Science. link

Ludwig, B., S. Vormstein, J. Niebuhr, S. Heinze, B. Marschner, M. Vohland. Estimation accuracies of near infrared spectroscopy for general soil properties and enzyme activities for two forest sites along three transects. Geoderma 288, 37-46. link

Vohland, M., M. Ludwig, S. Thiele-Bruhn, B. Ludwig. Quantification of soil properties with hyperspectral data: Selecting spectral variables with different methods to improve accuracies and analyze prediction mechanisms. Remote Sensing 9, 1103. link


Hutengs, C., M. Vohland. Downscaling land surface temperatures at regional scales with random forest regression. Remote Sensing of Environment 178, 127-141. link

Ludwig, B., D. Linsler, H. Höper, H. Schmidt, H.-P. Piepho, M. Vohland. Pitfalls in the use of middle-infrared spectroscopy: respresentativeness and ranking criteria for the estimation of soil properties. Geoderma 268, 165-175. link

Richter, R., B. Reu, C. Wirth, D. Doktor, M. Vohland. The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area. Int. J. Appl. Earth Obs. 52, 464-474. link

Vohland, M., M. Harbich, M. Ludwig, C. Emmerling, S. Thiele-Bruhn. Quantification of soil variables in a heterogeneous soil region with VIS-NIR-SWIR data using different statistical sampling and modelling strategies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) 9 (9), 4011-4021. link

Vohland, M., M. Ludwig, M. Harbich, C. Emmerling, S. Thiele-Bruhn. Using variable selection and wavelets to exploit the full potential of visible-near infrared spectra for predicting soil properties. J. Near Infrared Spec. 24, 255-269. link


Bareth, G., H. Aasen, J. Bendig, M.L. Gnyp, A. Bolten, A. Jung, R. Michels, René, J. Soukkamäki. Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements. PFG (Photogrammetrie – Fernerkundung – Geoinformation) 2015/1, 69-79. link

Jung, A.,  M. Vohland, S. Thiele-Bruhn. Use of a portable camera for proximal soil sensing with hyperspectral image data. Remote Sensing 7 (9), 11434-11448. link

Ludwig, B., A. Sawallisch, S. Heinze, R.G. Joergensen, M. Vohland. Usefulness of middle infrared spectroscopy for an estimation of chemical and biological soil properties – underlying principles and comparison of different software packages. Soil Biology & Biochemistry 86, 116-125. link

Ramirez, J.A., J.M. Posada, I. T. Handa, G. Hoch, M. Vohland, C. Messier, B. Reu. Near infrared spectroscopy (NIRS) predicts non-structural carbohydrate concentrations in different tissue types of a broad range of tree species. Methods in Ecology and Evolution, 6 (9), 1018-1025. link


Jung, A., M. Vohland. Snapshot Hyperspectral Imaging for Soil Diagnostics – Results of a Case Study in the Spectral Laboratory. PFG (Photogrammetrie – Fernerkundung – Geoinformation) 2014/6, 511-522. link

Vohland, M., M. Ludwig, S. Thiele-Bruhn, B. Ludwig. Determination of soil properties with visible to near- and mid-infrared spectroscopy: effects of spectral variable selection. Geoderma, 223-225, 88-96. link


Heinze, S., M. Vohland, R.G. Joergensen, B. Ludwig. Usefulness of near infrared spectroscopy for the prediction of chemical and biological soil properties in different long-term experiments. Journal of Plant Nutrition and Soil Science (JPNSS), 176, 520-528. link


Vohland, M., J. Besold, J. Hill, H.-C. Fründ. Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy. Geoderma 166, 198-205.

Vohland, M., K. Michel, B. Ludwig. Use of near infrared spectroscopy to distinguish carbon and nitrogen originating from char and forest-floor material in soils: usefulness of a genetic algorithm. Journal of Plant Nutrition and Soil Science (JPNSS) 174, 695-701.

Vohland, M., C. Emmerling. 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. European Journal of Soil Science 62, 598-606.


Vohland, M., S. Mader, W. Dorigo. Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL. Int. J. Appl. Earth Observation & Geoinformation (JAG) 12, 71-80.


Vohland, M., C. Bossung, H.-C. Fründ. A spectroscopic approach to assess trace heavy metal contents in contaminated floodplain soils via spectrally active soil components. Journal of Plant Nutrition and Soil Science (JPNSS) 172, 201-209.

Ernst, G., D. Felten, M. Vohland, C. Emmerling. Impact of ecologically different earthworm species on soil water characteristics. European Journal of Soil Biology 45, 207-213.


Vohland, M. Using imaging and non-imaging spectroradiometer data for the remote detection of vegetation water content. Journal of Applied Remote Sensing (JARS) 2, 023520, 13 pp.

Vohland, M., T. Jarmer. Estimating structural and biochemical parameters for grassland from spectroradiometer data by radiative transfer modelling (PROSPECT + SAIL). International Journal of Remote Sensing 29, 1, 191-209.

Casper, M., M. Vohland. Validation of a large scale hydrological model with data fields retrieved from reflective and thermal optical remote sensing data. Physics and Chemistry of the Earth 33, 1061-1067.

Jarmer, T., M. Vohland, H. Lilienthal, E. Schnug. Estimation of Some Chemical Properties of an Agricultural Soil by Spectroradiometric Measurements. Pedosphere 18, 163-170.


Vohland, M., J. Stoffels, C. Hau, G. Schüler. Remote Sensing Techniques for Forest Parameter Assessment: Multispectral Classification and Linear Spectral Mixture Analysis. Silva Fennica 41, 441-456.


Linde, L., W. Kirstein. Vergleich unterschiedlicher Klassifikationsansätze am Beispiel von hochauflösenden Satellitenbilddaten im Raum Leipzig. PFG (Photogrammetrie – Fernerkundung – Geoinformation) 2004/06, 519-526.

Schlerf, M., C. Atzberger, M. Vohland, H. Buddenbaum, S. Seeling, J. Hill. Derivation of forest leaf area index from multi- and hyperspectral remote sensing data. EARSeL eProceedings 3, 405-413.


Vohland, M., A. Treis, A. Krein, T. Udelhoven, J. Hill. Landnutzungsbezogene Modellierung hochwassergenetisch relevanter Abflusskomponenten im Ruwer-Einzugsgebiet. Hydrologie und Wasserbewirtschaftung 44, 190-200.


Kirstein, W., M. J. Canty. Theorie und Praxis der Klassifizierung von multispektralen Satellitenbildern mit neuronalen Netzen. In: Zeitschrift für Photogrammetrie und Fernerkundung (ZPF), 5-6/98.

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Letzte Änderung: 26. Juni 2020