Prof. Dr. Th. Udelhoven - Veröffentlichungen

Beiträge in Zeitschriften (peer-reviewed)

Krehenwinkel, H., S. Weber, R. Broekmann, A. Melcher, J. Hans, R. Wolf, A. Hochkirch, S. R. Kennedy, J. Koschorrek, S. Künzel, C. Müller, R. Reztlaff, D. Teubner, S. Schanzer, R. Klein, M. Paulus, T. Udelhoven and M. Veith (2022). Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities. eLife 11: e78521. DOI

A. Abdelbaki & T. Udelhoven (2022): A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions. Remote Sensing 14(15): 3515. DOI

M. Ortner, M. Seidel, S. Semella, T. Udelhoven, M. Vohland & S. Thiele-Bruhn (2022): Content of soil organic carbon and labile fractions depend on local combinations of mineral-phase characteristics.Soil, 8, 113-131. DOI

C. Weber, M. Eggert, J. Rodrigo-Comino & T. Udelhoven (2022): Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View.Remote Sensing, 14, 1633. DOI

S. Munawar, A. Röder, S. Syampungani & T. Udelhoven (2022): Place-Based Analysis of Satellite Time Series Shows Opposing Land Change Patterns in the Copperbelt Region of Zambia.Forests, 13, 134. DOI

C. Emmerling, T. Ruf, V. Audu, W. Werner & T. Udelhoven (2021): Earthworm communities are supported by perennial bioenergy cropping systems. European Journal of Soil Biology 105, 103331. DOI

A. Abdelbaki, M. Schlerf, R. Retzlaff, M. Machwitz, J. Verrelst & T. Udelhoven (2021): Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.  Remote Sensing, 13, 1748. DOI

M. Gilcher & T. Udelhoven (2021): Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms—A Randomized Approach to Compare Pixel Based and Convolution Based Methods.  Remote Sensing, 13, 775. DOI 

T. Ruf, M. Gilcher, T. Udelhoven, C. Emmerling (2021): Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction. Land10, 128. DOI

S. Lamprecht, J. Stoffels, T. Udelhoven (2020): ALS as Tool to Study Preferred Stem Inclination Directions. Remote Sensing 12 (22), 3744. DOI

M. Lorenz, D. Derrien, B. Zeller, T. Udelhoven, W. Werner, S. Thiele-Bruhn (2020): The linkage of 13 C and 15 N soil depth gradients with C: N and O: C stoichiometry reveals tree species effects on organic matter turnover in soil. Biogeochemistry, 1-18. DOI

S. Munawar & T. Udelhoven (2020). Land change syndromes identification in temperate forests of Hindukush Himalaya Karakorum (HHK) mountain ranges.International Journal of Remote Sensing, 41, 7735-7756. DOI

C. Weber, J. von Eichel-Streiber, J. Rodrigo-Comino, J. Altenburg & T. Udelhoven (2020): Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses.Sensors, 20, 4463. DOI

S. Heinemann, B. Siegmann, F. Thonfeld, J. Muro, C. Jedmowski, A. Kemna, T. Kraska, O. Muller, J. Schultz, T. Udelhoven, N. Wilke & U. Rascher (2020). Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor.Remote Sensing, 12, 1075. DOI

M. Machwitz, E. Hass, J. Junk, T. Udelhoven & M Schlerf (2019): CropGIS–a web application for the spatial and temporal visualization of past, present and future crop biomass development. Computers and Electronics in Agriculture, 161, 185-193. DOI

A. Abdelbaki, M. Schlerf, W. Verhoef & T. Udelhoven (2019): Introduction of Variable Correlation for the Improved Retrieval of Crop Traits Using Canopy Reflectance Model Inversion. Remote Sensing 11 (22), 2681. DOI

C. Gong, H. Buddenbaum, R. Retzlaff & Th. Udelhoven (2019): An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture.  Remote Sensing, 11, 2561. DOI

M. Gilcher, T. Ruf, C. Emmerling & T. Udelhoven (2019): Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse Sample Situations.  Remote Sensing 11 (18), 2172. doi:10.3390/rs11182172

M. Gerhards, M. Schlerf, K. Mallick & T. Udelhoven (2019): Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review.  Remote Sensing, 11, 1240. DOI

M. Gerhards, M. Schlerf, U. Rascher, T. Udelhoven, R. Juszczak, G. Alberti, F. Miglietta & Y. Inoue (2018). Analysis of Airborne Optical and Thermal Imagery for Detection of Water Stress Symptoms.  Remote Sensing, 10 (7), 1139. DOI

Th. Ruf, J. Makselon, T. Udelhoven, Ch. Emmerling (2018): Soil quality indicator response to land-use change from annual to perennial bioenergy cropping systems in Germany.  Global Change Biology Bioenergy, 10 (7), 444-459. DOI  

T. Udelhoven, M. Schlerf, K. Segl, K. Mallick, C. Bossung, R. Retzlaff, G. Rock, P. Fischer, A. Müller, T. Storch, A. Eisele, D. Weise, W. Hupfer & T. Knigge (2017): A Satellite-Based Imaging Instrumentation Concept for Hyperspectral Thermal Remote Sensing. Sensors, 17 (7), 1542. DOI

S. Lamprecht, A. Hill, J. Stoffels & T. Udelhoven (2017): A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sensing, 9(5), 505. DOI

J. Wagner, R. Münnich, J. Hill, J. Stoffels & T. Udelhoven (2017): Non-parametric small area models using shape-constrained penalized B-splines. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180 (4), 1089-1109. DOI

Z. Musyimi, M.Y. Said, D. Zida, T.S. Rosenstock, T. Udelhoven, P. Savadogo, J. de Leeuw & E. Aynekulu (2017): Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images.Journal of Arid Environments, 139, 95-109. DOI

G. Rock, M. Gerhards, M. Schlerf, C. Hecker & T. Udelhoven (2016). Plant species discrimination using emissive thermal infrared imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation, 53, 16-26. DOI

M. Gerhards, G. Rock, M. Schlerf & T. Udelhoven (2016). Water stress detection in potato plants using leaf temperature, emissivity, and reflectance. International Journal of Applied Earth Observation and Geoinformation, 53, 27-39. DOI

R. Münnich, J. Wagner, J. Hill, J. Stoffels, H. Buddenbaum & T. Udelhoven (2016): Schätzung von Holzvorräten unter Verwendung von Fernerkundungsdaten. AStA Wirtschafts- und Sozialstatistisches Archiv, 10 (2): 95-112. DOI

Frantz, D., Stellmes, M., Röder, A., Udelhoven, T., Mader, S., and Hill, J. (2016): Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs.  IEEE Transactions on Geoscience and Remote Sensing, 54 (7): 4153-4164. DOI
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Frantz, D., Röder, A., Udelhoven, T., and Schmidt, M. (2016): Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection.  Remote Sensing, 8 (4), 277. DOI

Retzlaff, R., Molitor, D., Behr, M., Bossung, C., Rock, G., Hoffmann, L., Evers, D. & Udelhoven, T. (2015). UAS-based multi-angular remote sensing of the effects of soil management strategies on grapevine. Journal international des sciences de la vigne et du vin, 49(2), 85-102. 

Goux, X., Calusinska, M., Lemaigre, S., Marynowska, M., Klocke, M., Udelhoven, T., Benizri, E. and Delfosse, P., (2015). Microbial community dynamics in replicate anaerobic digesters exposed sequentially to increasing organic loading rate, acidosis, and process recovery.Biotechnology for biofuels, 8(1). 

Eisele, A., Chabrillat, S., Hecker, C., Hewson, R., Lau, I.C., Rogass, C., Segl, K., Cudahy, T.J., Udelhoven, T., Hostert, P., & Kaufmann, H. (2015). Advantages using the thermal infrared (TIR) to detect and quantify semi-arid soil properties.Remote Sensing of Environment, 163, 296-311. DOI

Lamprecht, S., J. Stoffels, S. Dotzler, E. Haß & T. Udelhoven (2015): aTrunk—An ALS-Based Trunk Detection AlgorithmRemote Sensing, 7: 9975–9997. DOI

Lamprecht, S., J. Stoffels & T. Udelhoven (2015): VecTree - Concepts for 3D modelling of deciduous trees from terrestrial Lidar. Photogrammetrie - Fernerkundung - Geoinformation 2015 (3): 241-255. DOI

A. Strehmel, S. Schönbrodt-Stitt, G. Buzzo, C. Dumperth, F. Stumpf, K. Zimmermann, K. Bieger, T. Behrens, K. Schmidt, R. Bi, J. Rohn, J. Hill, T. Udelhoven, W. Xiang, X. Shi, Q. Cai, T. Jiang, N. Fohrer, and T. Scholten (2015): Assessment of geo-hazards in a rapidly changing landscape: the three Gorges Reservoir Region in China.Environental Earth Sciences.DOI

D. Frantz, A. Röder, T. Udelhoven & M. Schmidt (2015). Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask. IEEE Geoscience and Remote Sensing Letters, 12 (6): 1242–1246. DOI

Machwitz M., Giustarini, L., Bossung, C., Frantz, D., Schlerf, M., Lilienthal, H., Wandera, L., Matgen, P., Hoffmann, L., Udelhoven, T. (2014) Enhanced biomass prediction by assimilating satellite data into a crop growth model.Environmental Modelling & Software, 62, 437-453. DOI 

C. Atzberger, A. R. Formaggio, Y. E. Shimabukuro, T. Udelhoven, M. Mattiuzzi, G. A. Sanchez, E. Arai (2014): Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series. International Journal of Remote Sensing, 35 (7): 2615-2638. DOI

Denis, A., A. Stevens, B. van Wesemael, T. Udelhoven & B. Tychon (2014): Soil organic carbon assessment by field and airborne spectrometry in bare croplands: accounting for soil surface roughness.Geoderma 226-227, 94-102. DOI

Baron, N., Molitor, D., Behr, M., Wantzenrieder, T., Udelhoven, T., Stoll, M., Evers, D. (2013): Timing of first shoot topping and its impact on grapevine canopy and cluster morphology as well as on susceptibility to bunch rot. Journal of Plant Pathology 1 (Suppl), S1.77-82. Link

Eybe, T., J.-N. Audinot, T. Udelhoven, E. Lentzen, B. El Adib, J. Ziebel, L. Hoffmann & T. Bohn (2013): Determination of oral uptake and biodistribution of platinum and chromium by the garden snail (Helix aspersa) employing nano-secondary ion mass-spectrometry.Chemosphere, 90 (6): 1829-1938. DOI

P. Pueschel, G. Newnham, G. Rock, T. Udelhoven, W. Werner & J. Hill (2013): The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans. ISPRS Journal of Photogrammetry and Remote Sensing, 77: 44-56. DOI

Udelhoven, T., Delfosse, P., Bossung, C., Ronellenfitsch, F., Mayer, F., Schlerf, M., Machwitz, M. & Hoffmann, L. (2013): Retrieving the Bioenergy Potential from Maize Crops Using Hyperspectral Remote Sensing. Remote Sensing, 5, 254-273. DOI

Stellmes, M., Röder, A., Udelhoven, T. & Hill, J. (2013): Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic dataLand Use Policy 30, 685-702. DOI 

Schlerf, M., Rock, G., Lagueux, P., Ronellenfitsch, F., Gerhards, M., Hoffmann, L. & Udelhoven, T. (2012). A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications. Remote Sensing, 4, 3995-4009. DOI

Yin, H., Udelhoven, T., Fensholt, R., Pflugmacher, D. & Hostert, P. (2012). How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced Very High Resolution Radiometer (AVHRR) and Système Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study. Remote Sensing 4, 3364-3389. DOI

Schmidt, M., Udelhoven, T., Gill, T. & Röder, A. (2012): Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian Savanna. Journal of Applied Remote Sensing 6, 063530. DOI

Gutleb, A., Freitas, J., Murk, A., Verhaegen, S., Ropstad, E., Udelhoven, T., Hoffmann, L. & Audinot, J.-N. (2012): NanoSIMS50 — a powerful tool to elucidate cellular localization of halogenated organic compoundsAnal Bioanal Chem 404 (9): 2693-2698. DOI

Sonnenschein, R., Kuemmerle, T., Udelhoven, T., Stellmes, M. & Hostert, P. (2011): Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment 115 (6): 1408-1420. DOI

Udelhoven, T. (2011): TimeStats: A software tool for the retrieval of temporal patterns from global satellite archivesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), Special Issue on: Multi-temporal Imagery Analysis: Methods and Applications for Earth Observation, 4 (2), 310-317. DOI

Beyer, M., Pogoda, F., Ronellenfitsch, F., Hoffmann, L. & Udelhoven, T. (2010): Estimating deoxynivalenol contents of wheat samples containing different levels of Fusarium-damaged kernels by radiometry and partial least square regression, International Journal of Food Microbiology 142, 370-374. DOI

Stellmes, M., Udelhoven, T., Röder, A., Sonnenschein, R. & Hill, J. (2010): Dryland observation at local and regional scale - comparison of Landsat TM/ETM+ and NOAA AVHRR time series. Remote Sensing of Environment 114 (10), 2111–2125. DOI

Emmerling, C., Udelhoven, T. & Schneider, R. (2010): Long lasting impact of bio-waste compost application in agriculture on soil quality parameters in three different crop rotation systemsJournal of Plant Nutrition and Soil Science 173, 391-398. DOI

Damm, A., Erler, A., Gioli, B., Hamdi, K., Hutjes, R., Kosvancova, M., Meroni, M., Miglietta, F., Moersch, A., Moreno, J., Schickling, A., Sonnenschein, R., Udelhoven, T., van der Linden, S., Hostert, P. & Rascher, U. (2010). Remote sensing of sun induced fluorescence yield to improve modelling of diurnal courses of Gross Primary Production (GPP). Global Change Biology 16, 171-186. DOI 

Stevens, A., Udelhoven, T., Denis, A., Tychon, B., Rocco, L., Hoffmann, L. & van Wesemael, B. (2010): Measuring soil organic carbon in croplands at regional scale using imaging spectroscopyGeoderma 158, 32-45. DOI

Martínez-Carreras, N., Udelhoven, T., Krein, A., Gallert, F., Iffly, J.F., Walling, D.E., Pfister, L. & Hoffmann, L. (2010): The use of sediment colour measured with diffuse reflectance spectrometry to determine sediment sources in the Attert river basis (Luxembourg)Journal of Hydrology 382, 49-63. DOI

Martínez-Carreras, N., Krein, A., Udelhoven, T., Gallart, F., Iffly, J.F., Hoffmann, L., Pfister, L. & Walling D.E. (2010): A rapid spectral reflectance-based fingerprinting approach for documenting suspended sediment sources during storm runoff events. Journal of Soils and Sediments 10, 400-413. DOI

Udelhoven, T., van der Linden, S., Waske, B., Stellmes, M. & Hoffmann, L. (2009): Hypertemporal Classification of Large Areas Using Decision Fusion. Geoscience and Remote Sensing Letters 6, 592-596. DOI

Rascher, U., Agati, G., Alonso, L., Cecchi, G., Champagne, S., Colombo, R. Damm, A. Daumard, F., de Miguel E., Fernandez, G., Franch, B., Franke, J., Gerbig C., Gioli, B., Gómez, J.A., Goulas, Y., Guanter, L., Gutiérrez-de-la-Cámara Ó., Hamdi, K., Hostert, P., Jiménez, M., Kosvancova, M., Lognoli, D., Meroni, M., Miglietta, F., Moersch, A., Moreno, J., Moya, I., Neininger, B., Okujeni, A., Ounis, A., Palombi, L., Raimondi, V., Schickling, A., Sobrino, J.A., Stellmes, M., Toci, G., Toscano, P., Udelhoven, T., van der Linden, S. & Zaldei, A. (2009): CEFLES2: The remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands. Biogeosciences 6, 1181-1198. DOI

Eybe, T., Bohn, T., Audinot, J.N., Lentzen, E, Udelhoven, T., Cauchie, H.M. & Hoffmann, L. (2009): Acute Toxicity of Deltamethrin to Daphnia magna (water flea) and uptake Visualization by Nano-Secondary Ion Mass Spectrometry, Chemosphere 76, 134-140. DOI 

Hill, J., Stellmes, M., Udelhoven, T., Röder, A. & Sommer, S. (2008): Mediterranean desertification and land degradation. Mapping related land use change syndromes based on satellite observations, Global and planetary change, 64, 145-157. DOI

Udelhoven, T., Stellmes, M., Del Barrio, G. & Hill, J. (2008): Modelling the NDVI – rainfall relationship in Spain (1989-1999) using distributed lag models. International Journal of Remote Sensing 30 (8), 1961-1976. DOI 

Röder, A., Udelhoven, T., Hill, J., del Barrio, G. & Tsiourlis, G. (2008): Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern GreeceRemote Sensing of Environment 112 (6), 2863-2875. DOI

Krein, A., Udelhoven, T., Audinot, J.N., Hissler, C., Guignard, C., Pfister, L., Migneon, H.N. & Hoffmann, L. (2008): Imaging Chemical Patches on Near-surface Atmospheric Dust Particles with NanoSIMS 50 to Identify Material Sources. Water Air and Soil Pollution 8 (5-6), 495-503. DOI .

Martin, T. C., Moecks, J., Belooussov, A., Cawthraw, S., Dolenko, B., Eiden, M., von Frese J., Köhler, W., Schmitt, J., Somorjai, R., Udelhoven, T., Verzakov, S. and Petrich, W. (2004): Classification of signatures of Bovine Spongiform Encephalopathy in serum using infrared spectroscopy. Analyst 129 (10), 897–901. DOI

Udelhoven, T. Novozhilov, M. & Schmitt, J. (2003): The NeuroDeveloper: a tool for modular neural classification of spectroscopic data. Chemometrics and Intelligent Laboratory Systems 66, 219-226. DOI

Udelhoven, T.; Emmerling, C. & Jarmer, T. (2003): Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial-least-square regression: A feasibility study. Plant and Soil, 251(2), 319-329. DOI

Udelhoven, T. Hostert, P. Jarmer, T., Hill, J. (2003): Modulare Klassifikation von Getreideflächen mit mono-temporalen hyperspektralen Bilddaten des HyMap-Sensors. Photogrammetrie, Fernerkundung, Geoinformation, 2003-1, 35-42. Link

Hill, J., C. Diemer & Udelhoven, T. (2003): A local correlation approach for the fusion of image bands with different spatial resolutionsBulletin SFPT, 169, 26-34.

Jarmer, T., Udelhoven, T. & Hill, J.(2003): Möglichkeiten zur Ableitung bodenbezogener Größen aus multi- und hyperspektralen Fernerkundungsdaten.Photogrammetrie - Fernerkundung - Geoinformation, 2/2003, 115-128.

Krein, A., E.L. Petticrew & T. Udelhoven (2003). The use of fine sediment fractal dimensions and colour to determine sediment sources in a small watershedCatena, 53, 165-179. DOI

Lasch, P., Schmitt, J., Beekes, M., Udelhoven, T., Eiden, M., Fabian, H., Petrich, W. & Naumann, D. (2003). Antemortem identification of bovine spongiform encephalopathy from serum using infrared spectroscopy. Analytical Chemistry. 75, 6673-6678.

Emmerling, C. & Udelhoven T. (2002): Discriminating factors of the spatial variability of soil quality parameters in as landscape-scale. Journal of Plant Nutrition and Soil Science, 165, 706-712.

Hostert, P. Röder, A. Jarmer, T. Udelhoven T. & Hill, J (2002): The Potential of Remote Sensing and GIS for Desertification Monitoring. State of the Art and Future Research. - Annals of Arid Zones, 40, 2, 103-140

Hostert, P., Röder, A., Hill, J., Udelhoven, T. & Tsiourlis, G. (2002): Retrospective Studies of Grazing Induced Land Degradation. A Case Study on Central Crete, Greece. International Journal of Remote Sensing, Vol 24, no. 20, 4019-4034.

Schmitt, J., Beekes, M., Brauer, A., Udelhoven, T., Lasch, P. & Naumann, D.  (2002). Identification of scrapie infection from blood serum by Fourier transform infrared spectroscopy. Analytical Chemistry, 74, 3865-3868.

Emmerling, C., T. Udelhoven & D. Schröder (2001): Response of soil microbial biomass and activity to agricultural de-intensification over a ten year period. Soil Biology & Biochemistry, 33, 2105-2114.

Udelhoven, T., Naumann, D. & J. Schmitt (2000): Development of a hierarchical classification system applied to FT-IR spectra for the identification of bacteria, Applied Spectroscopy, Vol 54, H. 10, 1471-1479.

Udelhoven, T. & Schütt, B. (2000): Capability of feed-forward neural networks for a chemical evaluation of sediments with diffuse reflectance spectroscopyChemometrics and Intelligent Laboratory Systems, 51, 9-22.

Vohland, M., Treis, A., Krein, A. Udelhoven, T. & Hill, J. (2000): Landnutzungsbezogene Modellierung hochwassergenetisch relevanter Abflusskomponenten im Ruwer-EinzugsgebietHydrologie und Wasserbewirtschaftung, 44, H.4, S. 190-200.

Hill, J., Diemer, C., Stöver, O. Udelhoven, T. (1999): A local correlation approach for the fusion of remote sensing data with different spatial resolutions in forestry applicationsInternational Archives of Photogrammetry and Remote Sensing , Vol. 32, Part 7-4-3 W6.

Symader, W. & T. Udelhoven (1999): Zeitreihen von Umweltschadstoffen in Gewässern - Die Crux mit der InterpretationVom Wasser, 93, 85-93.

Udelhoven, T. & Bierl, R. (1998): Der partikelgebundene Stofftransport bei Trockenwetterbedingungen in einem kleinen heterogenen EinzugsgebietVom Wasser,  91, 276-289.

Hill, J., Hostert, P, Tsiourlis, G., Kasapidis. P., Udelhoven, T. & Diemer, C. (1998): Monitoring 20 years of increased grazing impact on the Greek island of Create with earth observation satellites. Journal of Arid Environments, 39, 165-178.

Udelhoven, T., R. Bierl, W. Symader (1998): The particle bound contaminant transport during low flow conditions in a small heterogenous basin. In: Modeling Soil Erosion, Sediment Transport and Closely Related Hydrological Processes, IAHS Publ. No. 249, 423-435.

Udelhoven T, Nagel, A. & Gasparini, F. (1997): Sediment and suspended particle interactions during low water flow in a small heterogeneous catchment. Catena, 30, 135-147.

Bierl, R., Symader, W., Gasparini, R., Hampe, K. & Udelhoven T. (1996) Particle associated contaminants in flowing waters - the role of sources. Archiv für Hydrobiologie, 47, 229-234

Bücher und Buchartikel

T. Udelhoven, A. Röder, J. Stoffels, R. Retzlaff & H. Buddenbaum (2021). Fernerkundung – Grundlagen, Systeme und Anwendungen. In P. Fischer-Stabel (Ed.), Umweltinformationssysteme: Grundlagen einer angewandten Geoinformatik/Geo-IT (pp. 118-144). Berlin: Wichmann Verlag, VDE.

Udelhoven, T., Stellmes, M., & Röder, A. (2015). Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data and Distributed Lag Models. In C. Kuenzer, S. Dech, & W. Wagner (Eds.), Remote Sensing Time Series (pp. 225-245): Springer International Publishing. DOI

Stellmes, M., Sonnenschein, R., Röder, A., Udelhoven, T., Sommer, S. & Hill, J. (2015): Land Degradation Assessment and Monitoring of Drylands. In P. Thenkabail (ed.), Remote Sensing of Water Resources, Disasters, and Urban Studies, Remote Sensing Handbook, Volume 3, Boca Raton, USA, p. 417-452. 

Hill, L., Udelhoven, T., Vohland, M. & Stevens, A. (2010): The application of laboratory spectroscopy and optical remote sensing for estimating soil properties for precision farming applications. In: Menz, G. (Ed.): Precision Crop Protection - The Challenge and Use of Heterogeneity, Springer, Berlin etc., 67-85. DOI

Hill, L., Udelhoven, T., Jarmer, T. & Yair, A. (2009): Land cover in the Nizzana sandy arid ecosystem. Mapping surface properties with multi-spectral remote sensing data. In. S.-W. Breckle et al. (eds.): Arid Dune Ecosystems. Ecological studies, 200, Springer, Berlin [etc.], 157-172.

Udelhoven (2007): Data mining tools and algorithms for knowledge discovery in long-term NOAA/AVHRR data archives. Habilitationsschrift im Fach Fernerkundung an der Universität Trier.

Udelhoven, T. & Hill, J. (2009): Change detection in Syria's rangelands using long-term AVHRR data (1982 – 2004). In: Paul Aplin (Ed.) “Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment”, ISPRS series, Taylor & Francis, Boca Raton, 117-132.

Udelhoven, T. & B. Schütt, 1998. Die Verwendung der Reflexionseigenschaften (VIS, NIR) von Böden limnischen und fluvialen Sedimenten zur Bestimmung ihrer Geochemischen und Mineralogischen Zusammensetzung. In: Mäusbacher, R. (ed.), Stofftransport: Methodik, Modellierung, Regionale Analyse. - Jenaer Geographische Manuskripte, 19, 81 p.

Udelhoven T. (1998): Die raumzeitliche Dynamik des partikelgebundenen Schadstofftransportes bei Trockenwetterbedingungen in kleinen heterogenen Einzugsgebieten. Dissertation im Fach Hydrologie (FB VI, Uni Trier) - Trierer Geographische Schriften, Band 19, 136 S.

Schmitt, J. & T. Udelhoven (2000): Use of Artificial Neural Networks in Biomedical Diagnosis, in: H.-U. Gremlich and B. Yan: Infrared and Raman Spectroscopy of Biological Materials, Marcel Dekker, Inc., New York, 379-420.


Naumann D, Beekes M, Schmitt J, Udelhoven T. & Brauer A (2002): Method for detecting TSE-induced modifications in the human and animal body. International publication number: WO02/066963 (Patentschrift)

Labischinski, H., Schiffer, G., Schmitt, J. & Udelhoven, T. (2002): Method for characterisung and/or identifying active mechanisms of antimicrobial test substances. International publication number WO03/042406 (Patentschrift)


M. Schlerf, G. Rock, P. Lagueux, F. Ronellenfitsch, M. Gerhards, L. Hoffmann & T. Udelhoven (2013): A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications. 8th EARSeL SIG Imaging Spectroscopy Workshop, Nantes, France, 8-10 April. 

M. Machwitz, T. Udelhoven, M. Schlerf, C. Bossung, C. Wiedekind, D. Frantz & L. Hoffmann  (2012): Enhancement of Yield Prediction – Sequential Data Assimilation Using the Models Apsim and Prosail and the Particle Filter. IGARSS 2012, Munich, Germany, 22-27 July.

Udelhoven, T., Stellmes, M. (2008): Time-series analysis on an 1km AVHRR data-set for change-detection in the Mediterranean (1989-2004), Geophysical Research Abstracts, Vol. 10, EGU2008-A-11223, SRef-ID: 1607-7962/gra/EGU2008-A-11223.

Udelhoven, T.,  van der Linden,S., Waske, B.  and Heitz. S. (2008): Land-cover classification of hypertemporal data using ENSEMBLE systems. Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, July 6-11, 2008, Boston, Massachusetts, U.S.A., 4 p.

Udelhoven, T. Stellmes, M. Röder, A., Hill, J.  and Hoffmann, L. (2008): Knowledge mining tools and strategies for hypertemporal remote sensing data sets. Proceedings of the ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial intelligence for environment and security Place ESRIN, Frascati (Italy), March 4-6, 2008, 8 p.

Stellmes, M., Udelhoven, T., Röder, A., Hill, J. (2008): Dryland observation at local and regional scale: comparison of Landsat TM and NOAA AVHRR time series, SPIE Europe Remote Sensing, 15.-18. Sept. University of Wales Institute Cardiff, Conference proceedings, 11p.

Martínez-Carreras, N., Udelhoven, T., Gallart, F., Iffly, J.F., Pfister, L., Walling, D.E.and Krein, A. (2008): Fingerprinting of suspended sediment sources in the Luxembourg part of the Rhine catchment: prospects for future developments. International Workshop Erosion, Transport and Deposition of Sediments, Berne, Switzerland 28-30 April 2008, 8 p.

Hill, J., Jarmer, T., Udelhoven, T. & Stellmes, M (2006): Remote sensing and geomatics applications for desertification and land degradation monitoring and assessment. - In: Escadafal, R. & Paracchini, M. L. (eds.): Geometrics for land and water management: Achievements and challenges in the Euromed context, International Workshop, Joint Research Centre, Italy, 23-25 June 2004, pp. 15-22.

Udelhoven, T., and Stellmes, M. (2007). Changes in Land Surface Conditions on the Iberian Peninsula (1989 to 2004) Detected by Means of Time Series Analysis from Hypertemporal Remote Sensing Data. In, International Workshop in the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007 (pp. 1-6). Leuven.

Udelhoven, T., Jarmer, T., Katlan, B., Al-Abed, M.,. Assad, N, Makhamreh, Z., Hill, J. (2006): Surface degradation and recovery indicators in the Eastern Mediterranean region derived from long-term monthly 1 km AVHRR/NDVI data In: 1st Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification, 7th-9thSeptember 2005, Trier, 239-246. Auch erschienen in: The Arab Journal for Arid Environments., 2006, Nr. 1, 68 -76.

Udelhoven, T. (2006): TimeStats: a software tool for analyzing spatial-temporal raster data archives: In: 1st Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification, 7th-9th September 2005, Trier, 247-255p.

Schlerf, M., Atzberger, C., Mader, S., and Udelhoven, T. (2005): Estimating conifer forest LAI with HyMap data using a reflectance model and artificial neural nets. In: Zagajewski, B. & Sobczak, M. (Eds.): Imaging Spectroscopy - New Quality in Environmental Studies, Warsaw: 673-678.

Schmitt J, Lasch P, Beekes M, Udelhoven T, Eiden M, Fabian H, Petrich W, Naumann D (2004): Ante mortem identification of BSE from serum using infrared spectroscopy. In: A. Mahadevan-Jansen, M.G. Sowa, Z. Gryczynski, T. Vo-Dinh, and G.J. Puppels (Hrsg.), Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, Proceedings of SPIE, Vol. 5321., San José, 36-43.

Jarmer, T., Lilienthal, H. and Udelhoven, T. (2003): Spectral determination of nitrogen content of wheat canopies.- 3rd EARSeL Workshop on Imaging Spectroscopy, Oberpfaffenhofen, May 13-16 2003, 513-517.

Schlerf, M., Atzberger, C., Udelhoven, T., Jarmer, T., Mader, S., Werner, W. & Hill, J. (2003):Spectrometric estimation of leaf pigments in Norway spruce needles using band-depth analysis, partial least-square regression and inversion of a conifer leaf model. 3rd EARSeL Workshop on Imaging Spectroscopy, Herrsching, May 13-16, 2003.

Udelhoven, T., Jarmer, T. and Hill, J. (2001): Die Nutzung von Hyperspektraldaten zur Erfassung von Bodeneigenschaften- Grundlagen und Anwendungsperspektiven, 18. DFD Nutzerseminiar, Konstanz 2001.

Schultz, C., Udelhoven, T. and Schmitt J. (2001): Potentially new approaches for biometrical applications using FT-IR mapping, focal plane array imaging and artificial neural networks. The Pittsburgh Conference, New Orleans, March 4-9, LA, USA, www.pittcon.omnibooksonline/2001/papers/0399.pdf

Hostert, P. Röder, A Hill, Udelhoven T. & Tsiourlis (2001): Employing Calibrated Time Series of EOS Data for Retrospective Studies of Grazing Induced Land Degradation: The Crete Case Study. - Proc. Int. Workshop Geo-Spatial Knowledge Processing for Natural Resource Management, 28th-29th June 2001, Varese, Italy, 107-111.

Hill, J. and Udelhoven, T. (2000): The assessment of soil properties with multi - and hyperspectral remote sensing systems –from qualitative indicators to quantitative estimates.10th Australasian Remote Sensing and Photogrammetry Conference, Adelaide (Australia), 9p.

Hill, J., Hostert, P, Roeder, A., Udelhoven, T. Tsiourlis, G. and Kasapidis, P. (2000): Employing calibrated long time-series of EOS data for retrospective studies of grazing induced land degradation. in Buchroithner, M. (Ed.), EARSeL Symposium, 14-16 June 2000, Dresden, 341-346.

Hill, J., Hostert, P., Jarmer, T. and Udelhoven, T. (2000): Remote Sensing of Surface Properties. The Key to Assess and Monitor Land Degradation and Desertification Processes in Arid Systems, Conference of Parties, UN Convention to Combat Desertification (UNCCD), 11th-22nd December 2000, Bonn, Germany.

Hostert, P. Jarmer, T. Udelhoven T. & Hill, J. (2000): Sensitivity Analysis of HyMap Data for Agricultural Applications. - Proc. 2nd EARSeL Workshop on Imaging Spectroscopy, 11th-13th July 2000, Enschede, The Netherlands, 6 p.

Schmitt J., Udelhoven, T., Naumann, D. and Flemming, H.-C. (2000) Artificial neural networks applied to FT-IR and FT-Raman bacterial spectra for identification. In: M Mahadevan-Jansen, G. Puppels (eds.): Infrared Spectroscopy: New Tool in Medicine. SPIE Series Progress in biomedical optics, Vol. 3918, International Society for Optical Engineering (SPIE).

Udelhoven, T. Jarmer, T., Hostert, P. and Hill, J. (2000): The acquisition of spectral reflectance measurements under field and laboratory conditions as support for hyperspectral applications in precision farming. Second EARSeL Workshop on Imaging Spectroscopy, The Netherlands 11-13 July 2000, on CD.

Udelhoven, T., Atzberger, C. and Hill, J. (2000): Retrieving Structural and Biochemical Forest Characteristics Using Artificial Neural Networks and Physically Based Reflectance Models. in Buchroithner, M. (Ed.), EARSeL Symposium, 14-16 June 2000, Dresden, 205-212.

Udelhoven, T, Hill, J., Schütt, B. Imeson, Cameraat, E. (1998): Neuronal network approch for the identification of organic carbon content in the Guadalentin bassin (SE Spain) based on hyperspectral image data from the DAIS-7915 sensor.- in: Schaepman, M, Schläfper, D and Itten, K. (Eds.): EARSeL Symposium on Imaging Spectroscopy, Zürich, Switzerland, 6-8. October 1998, 437-447.

Udelhoven, T., Symader, W. and Bierl, R. (1998): The particle bound contaminant transport during low flow conditions in a small heterogeneous catchment. In: Modelling soil erosion, sediment transport and closely related hydroplogical processes (Proceedings of a symposium held at Vienna, July 1998). IAHS Publ. No. 249, pp 423-435.

Hill, J., Udelhoven, T., Schütt, B. and Yair, A. (1998): Differentiating biological crusts in a sandy arid ecosystem based on hyperspectral data acuired with DAIS 7915. in: Schaepman, M, Schläfper, D and Itten, K. (Eds.): EARSeL Symposium on Imaging Spectroscopy, Zürich, Switzerland, 6-8. October 1998, 427-437.

Schmitt J., Udelhoven T., Flemming H.-C., D. Naumann (1998): Artificial neural networks applied to FT-IR and FT-Raman spectra in biomedical applications. In: de Haseth (ed.) Fourier Transform Spectroscopy. AIP Conference Proceedings 430, American Institute of Physics (AIP), Woodbury, NY, S. 260-265.

Schmitt J., T. Udelhoven, D. Naumann, H.-C. Flemming (1998): Stacked spectral data processing and artificial neural networks applied to FT-IR and FT-Raman spectra in biomedical applications. In: H. Mantsch, M. Jackson (eds.): Infrared Spectroscopy: New Tool in Medicine. SPIE Series Progress in biomedical optics, Vol. 3257, International Society for Optical Engineering (SPIE), S. 236-245.

Schmitt, J, T. Udelhoven, D. Naumann, H.-C. Flemming (1998), In: H. Mantsch, M. Jackson, eds.Infrared Spectroscopy: A New Tool in Medicine. Washington D.C., Bellingham, SPIE Vol.3257, pp237-243.

Hill J., Diemer C., Stöver O. & Udelhoven, T.  (1997): A local correlation approach for the fusion of remote sensing data with different spatial resolutions in forestry applications.-in: Expert Meeting of Data Fusion Techniques, Freiburg, Germany, 35-45.

Udelhoven, T., & Symader, W. (1995): Particle characterisitics and their significance in the identification of suspended sediment sources. In: Tracer Technologies for hydrological systems.IAHS Publ. No. 229. 153-162.


T. Udelhoven, A. Röder & J. Stoffels (2012): Geodaten und Geoinformatik – Neue Wege für die Nutzung und Analyse raumbezogener Daten. Geographie und Schule 198 (34): 4-12.

Udelhoven, T., Jarmer, T., Katlan, B., Al-Abed, M.,. Assad, N, Makhamreh, Z. & Hill, J. (2006): Surface degradation and recovery indicators in the Eastern Mediterranean region derived from long-term monthly 1 km AVHRR/NDVI data In: 1st Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification, 7th-9thSeptember 2005, Trier, 8p. Auch erschienen in: The Arab Journal for Arid Environments., 2006, Nr. 1, 68–76.

Erian, W.F., Fares, F.S., Udelhoven, T. & Katlan, B. (2006): Coupling long-term “NDVI” for monitoring droughts in Syrian rangelands. The Arab Journal for Arid Environment, Nr. 1, 77-87.

Udelhoven, T., Jarmer, T. & Hill, J. (2001): Fernerkundliche Aspekte des „precision farming“: Die Quantifizierung kleinräumiger bodenchemischer Eigenschaften, in: Müller, P., Rumpf, S und Monheim, H. (Eds.): Umwelt und Region – Aus der Werkstatt des SFB522, 183-190.

Udelhoven, T., Emmerling, C. & Jarmer, T. (2001): Spektrometrische Erfassung der organischer Substanz in Oberböden der Region Trier, in: Müller, P., Rumpf, S und Monheim, H. (Eds.): Umwelt und Region – Aus der Werkstatt des SFB522, 191-198.

Udelhoven, T., Nagel, A. & Symader, W. (1997): Die Untersuchung der spektralen Reflexion von Feststoffproben mit digitaler Videographie. Trierer Geographische Studien, 16, 106-116.