Michael Vohland

发表

From HyMap Imagery to Spatially Distributed Vegetation Wa- ter Contents - A Comparison of Different Estimation Ap- proaches Based on Canopy Reflectance Modelling

S. Mader, Michael Vohland, 2007 .

Downscaling land surface temperatures at regional scales with random forest regression

M. Vohland, Christopher Hutengs, Michael Vohland, 2016 .

Combining Multiband Remote Sensing and Hierarchical Distance Sampling to Establish Drivers of Bird Abundance

Ronny Richter, Michael Vohland, Arend Heim, 2019, Remote. Sens..

A multisensoral approach for high-resolution land cover and pasture degradation mapping in the humid tropics: A case study of the fragmented landscape of Rio de Janeiro

Ronny Richter, Friederike Naegeli de Torres, Michael Vohland, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Remote Sensing Techniques for Forest Parameter Assessment: Multispectral Classification and Linear Spectral Mixture Analysis

M. Vohland, J. Stoffels, C. Hau, 2007 .

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

Michael Vohland, Markus C. Casper, M. Casper, 2008 .

Large Scale Approach to Forest and Water Interactions

M. Vohland, J. Hill, L. Pfister, 2010 .

Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors

Corinna Rebmann, Michael Vohland, Maximilian Lange, 2017, Sensors.

Remote Sensing of Geomorphodiversity Linked to Biodiversity - Part III: Traits, Processes and Remote Sensing Characteristics

Sina C. Truckenbrodt, M. Schaepman, A. Karnieli, 2022, Remote. Sens..

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity - Part II: Geomorphology, Terrain and Surfaces

Marco Heurich, Jan Bumberger, Thomas Jagdhuber, 2020, Remote. Sens..

Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism

M. Vohland, M. Cuntz, D. Doktor, 2017 .

Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL

Wouter Dorigo, Michael Vohland, S. Mader, 2010, Int. J. Appl. Earth Obs. Geoinformation.

Using imaging and non-imaging spectroradiometer data for the remote detection of vegetation water content

Michael Vohland, M. Vohland, Michael Vohland, 2008 .

Estimation of Some Chemical Properties of an Agricultural Soil by Spectroradiometric Measurements

Ewald Schnug, Michael Vohland, Thomas Jarmer, 2008 .

Near‐infrared spectroscopy (NIRS) predicts non‐structural carbohydrate concentrations in different tissue types of a broad range of tree species

M. Vohland, C. Messier, B. Reu, 2015 .

Performance of in situ vs laboratory mid-infrared soil spectroscopy using local and regional calibration strategies

M. Vohland, H. Koch, B. Ludwig, 2022, Geoderma.

SPECTRAL DETERMINATION OF PLANT WATER CONTENT OF WHEAT CANOPIES

T. Jarmer, W. Werner, Ruth Sonnenschein, 2005 .

Derivation of forest leaf area index from multi - and hyperspectral remote sensing data

M. Schlerf, M. Vohland, J. Hill, 2004 .

Robustness of visible near‐infrared and mid‐infrared spectroscopic models to changes in the quantity and quality of crop residues in soil

M. Vohland, B. Ludwig, D. Linsler, 2020 .

Assessment of forest productivity using an ecosystem process model, remotely sensed Lai maps and field data

Henning Buddenbaum, Michael Vohland, Martin Schlerf, 2004 .

Quantification of non-structural carbohydrates in different tissues of trees with diffuse reflectance spectroscopy: Is there a benefit from a fusion of near- and mid-infrared data?

Michael Vohland, András Jung, Björn Reu, 2023, Talanta.

Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms

Michael Vohland, Bernard Ludwig, Marie Ludwig, 2017, Remote. Sens..

The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area

Christian Wirth, Ronny Richter, Michael Vohland, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Using Variable Selection and Wavelets to Exploit the Full Potential of Visible–Near Infrared Spectra for Predicting Soil Properties

Christoph Emmerling, Michael Vohland, Marie Ludwig, 2016 .

Use of A Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data

Michael Vohland, András Jung, Sören Thiele-Bruhn, 2015, Remote. Sens..

Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity - Part I: Soil Characteristics

Jan Bumberger, Thomas Jagdhuber, Offer Rozenstein, 2019, Remote. Sens..

Performance of field‐scale lab vs in situ visible/near‐ and mid‐infrared spectroscopy for estimation of soil properties

M. Vohland, B. Ludwig, Michael Seidel, 2021, European Journal of Soil Science.

Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations

M. Vohland, S. Thiele-Bruhn, B. Ludwig, 2019, Geoderma.

The use of full range spectroradiometer data to assess properties of a heterogeneous soil set in a regional scale survey

Michael Vohland, Thomas Udelhoven, András Jung, 2014, Remote Sensing.

VNIR and MIR spectroscopy of PLFA-derived soil microbial properties and associated physicochemical soil characteristics in an experimental plant diversity gradient

M. Vohland, M. Seidel, N. Eisenhauer, 2021 .

In situ and laboratory soil spectroscopy with portable visible-to-near-infrared and mid-infrared instruments for the assessment of organic carbon in soils

M. Vohland, B. Ludwig, Christopher Hutengs, 2019 .

Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content

M. Vohland, S. Thiele-Bruhn, B. Ludwig, 2022, Geoderma.

The Use of Laboratory Spectroscopy and Optical Remote Sensing for Estimating Soil Properties

Michael Vohland, Thomas Udelhoven, Antoine Stevens, 2010 .

Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy

M. Vohland, Joachim Besold, J. Hill, 2011 .

Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale

M. Vohland, B. Ludwig, Christopher Hutengs, 2023, Sensors.

Snapshot Hyperspectral Imaging for Soil Diagnostics – Results of a Case Study in the Spectral Laboratory

Michael Vohland, András Jung, A. Jung, 2014 .

Use of different chemometric approaches for an estimation of soil properties at field scale with near infrared spectroscopy

M. Vohland, B. Ludwig, V. Parama, 2018, Journal of Plant Nutrition and Soil Science.

Content of soil organic carbon and labile fractions depend on local combinations of mineral-phase characteristics

M. Vohland, T. Udelhoven, S. Thiele-Bruhn, 2022, SOIL.

Content of soil organic carbon and labile fractions depend on local 1 combinations of mineral phase parameters

T. Udelhoven, M. Ortner, Michael Seidel, 2021 .

Monitoring Water Diversity and Water Quality with Remote Sensing and Traits

A. Lausch, T. Heege, J. Bumberger, 2024, Remote. Sens..

Application of portable VNIR and MIR spectroscopy for the analysis of physicochemical sediment characteristics and stratigraphy in drill cores of Holocene overbank deposits in Central Europe

Christopher Hutengs, H. von Suchodoletz, A. Khosravichenar, 2024, CATENA.

Snapshot Hyperspectral Imaging for Field Data Acquisition in Agriculture (in Raspberry Plantation)

ANDRÁS JUNG, MICHAEL VOHLAND, MARIANNA MAGYAR, 2019 .

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

Christoph Emmerling, Michael Vohland, M. Vohland, 2011 .

Estimating structural and biochemical parameters for grassland from spectroradiometer data by radiative transfer modelling (PROSPECT+SAIL)

M. Vohland, T. Jarmer, Michael Vohland, 2008 .

Impact of ecologically different earthworm species on soil water characteristics

M. Vohland, D. Felten, C. Emmerling, 2009 .

Quantification of soil organic carbon at regional scale: Benefits of fusing vis-NIR and MIR diffuse reflectance data are greater for in situ than for laboratory-based modelling approaches

M. Vohland, B. Ludwig, Christopher Hutengs, 2022, Geoderma.

Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils

Michael Vohland, Andreas Eisele, András Jung, 2018, Sensors.

Accuracy of Estimating Soil Properties with Mid-Infrared Spectroscopy: Implications of Different Chemometric Approaches and Software Packages Related to Calibration Sample Size

M. Vohland, B. Ludwig, V. Parama, 2019, Soil Science Society of America Journal.

Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection

Michael Vohland, Bernard Ludwig, Marie Ludwig, 2014 .

Optimised use of data fusion and memory‐based learning with an Austrian soil library for predictions with infrared data

B. Ludwig, K. Michel, Isabel Greenberg, 2023, European Journal of Soil Science.

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

M. Vohland, H. Höper, B. Ludwig, 2017 .

Phosphorus fractions and speciation in rural and urban calcareous soils in the semiarid region of Sulaimani city, Kurdistan, Iraq

M. Vohland, J. Kruse, Jean-Frank Wagner, 2019, Environmental Earth Sciences.

Detecting Tree Species Effects on Forest Canopy Temperatures with Thermal Remote Sensing: The Role of Spatial Resolution

Ronny Richter, Michael Vohland, Lutz Bannehr, 2021, Remote. Sens..

A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data

M. Vohland, Christopher Hutengs, Sebastian Semella, 2022, Remote. Sens..