A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters.
Hong, F.; Zhan, W.; Göttsche, F.-M.; Lai, J.; Liu, Z.; Hu, L.; Fu, P.; Huang, F.; Li, J.; Li, H.; Wu, H.
2021. Remote sensing of environment, 264, art.-Nr.: 112612. doi:10.1016/j.rse.2021.112612

Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop.
Trigo, I. F.; Ermida, S. L.; Martins, J. P. A.; Gouveia, C. M.; Göttsche, F.-M.; Freitas, S. C.
2021. ISPRS journal of photogrammetry and remote sensing, 175, 282–297. doi:10.1016/j.isprsjprs.2021.03.013

Validation of Sentinel-3 SLSTR Land Surface Temperature Retrieved by the Operational Product and Comparison with Explicitly Emissivity-Dependent Algorithms.
Pérez-Planells, L.; Niclòs, R.; Puchades, J.; Coll, C.; Göttsche, F.-M.; Valiente, J. A.; Valor, E.; Galve, J. M.
2021. Remote sensing, 13 (11), Article no: 2228. doi:10.3390/rs13112228

Validation and Quality Assessment of the ECOSTRESS Level-2 Land Surface Temperature and Emissivity Product.
Hulley, G. C.; Gottsche, F. M.; Rivera, G.; Hook, S. J.; Freepartner, R. J.; Martin, M. A.; Cawse-Nicholson, K.; Johnson, W. R.
2021. IEEE Transactions on Geoscience and Remote Sensing. doi:10.1109/TGRS.2021.3079879

Meteorology-driven variability of air pollution (PM₁) revealed with explainable machine learning.
Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Fuchs, J.; Kim, M.; Petit, J.-E.; Favez, O.
2021. Atmospheric chemistry and physics, 21 (5), 3919–3948. doi:10.5194/acp-21-3919-2021

Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A Review of Reconstruction and Spatiotemporal Fusion Techniques.
Wu, P.; Yin, Z.; Zeng, C.; Duan, S.-B.; Gottsche, F.-M.; Li, X.; Ma, X.; Yang, H.; Shen, H.
2021. IEEE geoscience and remote sensing magazine. doi:10.1109/MGRS.2021.3050782

A global long-term (1981–2000) land surface temperature product for NOAA AVHRR.
Ma, J.; Zhou, J.; Göttsche, F.-M.; Liang, S.; Wang, S.; Li, M.
2020. Earth system science data, 12 (4), 3247–3268. doi:10.5194/essd-12-3247-2020

Identifying the key challenges for fog and low stratus forecasting in complex terrain.
Westerhuis, S.; Fuhrer, O.; Cermak, J.; Eugster, W.
2020. Quarterly journal of the Royal Meteorological Society, 146 (732), 3347–3367. doi:10.1002/qj.3849

Investigation and validation of algorithms for estimating land surface temperature from Sentinel-3 SLSTR data.
Yang, J.; Zhou, J.; Göttsche, F.-M.; Long, Z.; Ma, J.; Luo, R.
2020. International journal of applied earth observation and geoinformation, 91, Article: 102136. doi:10.1016/j.jag.2020.102136

Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning.
Stirnberg, R.; Cermak, J.; Fuchs, J.; Andersen, H.
2020. Journal of geophysical research / D, 125 (4), Art.e2019JD031380. doi:10.1029/2019JD031380

Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation.
Pauli, E.; Andersen, H.; Bendix, J.; Cermak, J.; Egli, S.
2020. Journal of hydrology, 591, Art.-Nr.: 125451. doi:10.1016/j.jhydrol.2020.125451

A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data.
Kim, M.; Cermak, J.; Andersen, H.; Fuchs, J.; Stirnberg, R.
2020. Remote sensing, 12 (21), Article: 3475. doi:10.3390/rs12213475

Retrieving Soil and Vegetation Temperatures From Dual-Angle and Multipixel Satellite Observations.
Bian, Z.; Li, H.; Gottsche, F. M.; Li, R.; Du, Y.; Ren, H.; Cao, B.; Xiao, Q.; Liu, Q.
2020. IEEE journal of selected topics in applied earth observations and remote sensing, 13, 5536–5549. doi:10.1109/JSTARS.2020.3024190

Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI.
Safieddine, S.; Parracho, A. C.; George, M.; Aires, F.; Pellet, V.; Clarisse, L.; Whitburn, S.; Lezeaux, O.; Thépaut, J.-N.; Hersbach, H.; Radnoti, G.; Goettsche, F.; Martin, M.; Doutriaux-Boucher, M.; Coppens, D.; August, T.; Zhou, D. K.; Clerbaux, C.
2020. Remote sensing, 12 (17), Article: 2777. doi:10.3390/rs12172777

Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series.
Ermida, S. L.; Soares, P.; Mantas, V.; Göttsche, F.-M.; Trigo, I. F.
2020. Remote sensing, 12 (9), 1471. doi:10.3390/rs12091471

Synoptic-scale controls of fog and low-cloud variability in the Namib Desert.
Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R.
2020. Atmospheric chemistry and physics, 20 (6), 3415–3438. doi:10.5194/acp-20-3415-2020

Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature.
Li, M.; Zhou, J.; Peng, Z.; Liu, S.; Göttsche, F.-M.; Zhang, X.; Song, L.
2019. Agricultural and forest meteorology, 276-277, 107600. doi:10.1016/j.agrformet.2019.05.031

Correction to: A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations (vol 57, pg 4670, 2019).
Zhang, X.; Zhou, J.; Gottsche, F.-M.; Zhan, W.; Liu, S.; Cao, R.
2019. IEEE transactions on geoscience and remote sensing, 57 (8), 6254. doi:10.1109/TGRS.2019.2899770

Validation of Collection 6 MODIS land surface temperature product using in situ measurements.
Duan, S.-B.; Li, Z.-L.; Li, H.; Göttsche, F.-M.; Wu, H.; Zhao, W.; Leng, P.; Zhang, X.; Coll, C.
2019. Remote sensing of environment, 225, 16–29. doi:10.1016/j.rse.2019.02.020

An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations.
Martins, J. P. A.; Trigo, I. F.; Ghilain, N.; Jimenez, C.; Göttsche, F.-M.; Ermida, S. L.; Olesen, F.-S.; Gellens-Meulenberghs, F.; Arboleda, A.
2019. Remote sensing, 11 (24), Article: 3044. doi:10.3390/rs11243044

Forschungsorientiert und kompetent – Ausgestaltung von hochschulischen Veränderungsprozessen am Beispiel der Lehreinheit »Geodäsie und Geoinformatik« am Karlsruher Institut für Technologie (KIT).
Mayer, M.; Kutterer, H.; Cermak, J.
2019. ZfV, 144 (4), 206–222. doi:10.12902/zfv-0273-2019

Probing the fog life-cycles in the Namib desert.
Spirig, R.; Vogt, R.; Larsen, J. A.; Feigenwinter, C.; Wicki, A.; Franceschi, J.; Parlow, E.; Adler, B.; Kalthoff, N.; Cermak, J.; Andersen, H.; Fuchs, J.; Bott, A.; Hacker, M.; Wagner, N.; Maggs-Kölling, G.; Wassenaar, T.; Seely, M.
2019. Bulletin of the American Meteorological Society, 100 (12), 2491–2507. doi:10.1175/BAMS-D-18-0142.1

Land Surface Temperature.
Hulley, G. C.; Ghent, D.; Göttsche, F. M.; Guillevic, P. C.; Mildrexler, D. J.; Coll, C.
2019. Taking the Temperature of the Earth - Steps towards Integrated Understanding of Variability and Change. Ed.: G. Hulley, 57–127, Elsevier. doi:10.1016/B978-0-12-814458-9.00003-4

SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval.
Masiello, G.; Serio, C.; Venafra, S.; Poutier, L.; Göttsche, F.-M.
2019. Sensors, 19 (7), 1532. doi:10.3390/s19071532

Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations.
Andersen, H.; Cermak, J.; Solodovnik, I.; Lelli, L.; Vogt, R.
2019. Atmospheric chemistry and physics, 19 (7), 4383–4392. doi:10.5194/acp-19-4383-2019

The 2016 CEOS infrared radiometer comparison: Part 2: Laboratory comparison of radiation thermometers.
Theocharous, E.; Fox, N. P.; Barker-Snook, I.; Niclòs, R.; Garcia Santos, V.; Minnett, P. J.; Göttsche, F. M.; Poutier, L.; Morgan, N.; Nightingale, T.; Wimmer, W.; Høyer, J.; Zhang, K.; Yang, M.; Guan, L.; Arbelo, M.; Donlon, C. J.
2019. Journal of atmospheric and oceanic technology. doi:10.1175/JTECH-D-18-0032.1

A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations.
Zhang, X.; Zhou, J.; Gottsche, F.-M.; Zhan, W.; Liu, S.; Cao, R.
2019. IEEE transactions on geoscience and remote sensing, 57 (7), 4670–4691. doi:10.1109/TGRS.2019.2892417

Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years.
Martin, M.; Ghent, D.; Pires, A.; Göttsche, F.-M.; Cermak, J.; Remedios, J.
2019. Remote sensing, 11 (5), Article No.479. doi:10.3390/rs11050479

Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015.
Wiegner, M.; Mattis, I.; Pattantyús-Ábrahám, M.; Bravo-Aranda, J. A.; Poltera, Y.; Haefele, A.; Hervo, M.; Görsdorf, U.; Leinweber, R.; Gasteiger, J.; Haeffelin, M.; Wagner, F.; Cermak, J.; Komínková, K.; Brettle, M.; Münkel, C.; Pönitz, K.
2019. Atmospheric measurement techniques, 12 (1), 471–490. doi:10.5194/amt-12-471-2019

Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel.
Nilo, S. T.; Romano, F.; Cermak, J.; Cimini, D.; Ricciardelli, E.; Cersosimo, A.; Paola, F. D.; Gallucci, D.; Gentile, S.; Geraldi, E.; Larosa, S.; Ripepi, E.; Viggiano, M.
2018. Remote sensing, 10 (4), Art.Nr. 541. doi:10.3390/rs10040541

Temporal Patterns and Vertical Temperature Gradients in Micro-Scale Drainage Flow Observed Using Thermal Imaging.
Grudzielanek, A. M.; Cermak, J.
2018. Atmosphere, 9 (12), Article: 498. doi:10.3390/atmos9120498

Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning.
Fuchs, J.; Cermak, J.; Andersen, H.
2018. Atmospheric chemistry and physics, 18 (22), 16537–16552. doi:10.5194/acp-18-16537-2018

First fully diurnal fog and low cloud satellite detection reveals life cycle in the Namib.
Andersen, H.; Cermak, J.
2018. Atmospheric measurement techniques, 11 (10), 5461–5470. doi:10.5194/amt-11-5461-2018

An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10.
Stirnberg, R.; Cermak, J.; Andersen, H.
2018. Remote sensing, 10 (9), Art.-Nr.: 1353/1–17. doi:10.3390/rs10091353

Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data.
Cermak, J.
2018. Remote sensing, 10 (8), 1209. doi:10.3390/rs10081209

Physical Retrieval of Land Surface Emissivity Spectra from Hyper-Spectral Infrared Observations and Validation with In Situ Measurements.
Masiello, G.; Serio, C.; Venafra, S.; Liuzzi, G.; Poutier, L.; Göttsche, F.-M.
2018. Remote sensing, 10 (6), 976. doi:10.3390/rs10060976

Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky.
Hong, F.; Zhan, W.; Göttsche, F. M.; Liu, Z.; Zhou, J.; Huang, F.; Lai, J.; Li, M.
2018. ISPRS journal of photogrammetry and remote sensing, 142, 190–204. doi:10.1016/j.isprsjprs.2018.06.008

Global Land Surface Temperature From the Along-Track Scanning Radiometers.
Ghent, D. J.; Corlett, G. K.; Göttsche, F.; Remedios, J. J.
2017. Journal of geophysical research / Atmospheres, 122 (22), 12,167–12,193. doi:10.1002/2017JD027161

On the Influence of Air Mass Origin on Low-Cloud Properties in the Southeast Atlantic.
Fuchs, J.; Cermak, J.; Andersen, H.; Hollmann, R.; Schwarz, K.
2017. Journal of geophysical research / Atmospheres. doi:10.1002/2017JD027184

A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land.
Zhou, J.; Zhang, X.; Zhan, W.; Göttsche, F.; Liu, S.; Olesen, F.-S.; Hu, W.; Dai, F.
2017. IEEE transactions on geoscience and remote sensing, 55 (8), 4743–4756. doi:10.1109/TGRS.2017.2698828

Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks.
Andersen, H.; Cermak, J.; Fuchs, J.; Knutti, R.; Lohmann, U.
2017. Atmospheric chemistry and physics, 17 (15), 9535–9546. doi:10.5194/acp-17-9535-2017

Mapping the Twilight Zone : What We Are Missing between Clouds and Aerosols.
Schwarz, K.; Cermak, J.; Fuchs, J.; Andersen, H.
2017. Remote sensing, 9 (6), 577. doi:10.3390/rs9060577

Mean Number of Storm Days.
Thies, B.; Nauss, T.; Reudenbach, C.; Cermak, J.; Bendix, J.
2016. Regional Assessment of Global Change Impacts - The Project GLOWA-Danube. Ed. : W. Mauser, 271–277, Springer International Publishing. doi:10.1007/978-3-319-16751-0_34

A 10 year fog and low stratus climatology for Europe based on Meteosat Second Generation data.
Egli, S.; Thies, B.; Drönner, J.; Cermak, J.; Bendix, J.
2016. Quarterly journal of the Royal Meteorological Society, 143 (702), 530–541. doi:10.1002/qj.2941

Global observations of cloud-sensitive aerosol loadings in low-level marine clouds.
Andersen, H.; Cermak, J.; Fuchs, J.; Schwarz, K.
2016. Journal of geophysical research / Atmospheres, 121 (21), 12,936–12,946. doi:10.1002/2016JD025614

Linking Surface Urban Heat Islands with Groundwater Temperatures.
Benz, S. A.; Bayer, P.; Göttsche, F. M.; Olesen, F. S.; Blum, P.
2016. Environmental science & technology, 50 (1), 70–78. doi:10.1021/acs.est.5b03672

Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data.
Sobrino, J. A.; Jiménez-Muñoz, J. C.; Sòria, G.; Ruescas, A. B.; Danne, O.; Brockmann, C.; Ghent, D.; Remedios, J.; North, P.; Merchant, C.; Berger, M.; Mathieu, P. P.; Göttsche, F.-M.
2016. Remote Sensing of Environment, 179, 149–161. doi:10.1016/j.rse.2016.03.035

Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa.
Göttsche, F.-M.; Olesen, F.-S.; Trigo, I. F.; Bork-Unkelbach, A.; Martin, M. A.
2016. Remote sensing, 8 (5), Arcticle no 410. doi:10.3390/rs8050410

THE METCRAX II Field Experiment - A Study of Downslope Windstorm-Type Flows in Arizona’s Meteor Crater.
Lehner, M.; Whiteman, C. D.; Hoch, S. W.; Crosman, E. T.; Jeglum, M. E.; Cherukuru, N. W.; Calhoun, R.; Adler, B.; Kalthoff, N.; Rotunno, R.; Horst, T. W.; Semmer, S.; Brown, W. O. J.; Oncley, S. P.; Vogt, R.; Grudzielanek, A. M.; Cermak, J.; Fonteyne, N. J.; Bernhofer, C.; Pitacco, A.; Klein, P.
2016. Bulletin of the American Meteorological Society, 97 (2), 217–235. doi:10.1175/BAMS-D-14-00238.1

A review on ice fog measurements and modeling.
Gultepe, I.; Zhou, B.; Milbrandt, J.; Bott; Li, Y.; Heymsfield, J.; Ferrier, B.; Ware, R.; Pavolonis, M.; Kuhn, T.; Gurka, J.; Liu, P.; Cermak, J.
2015. Atmospheric research, 151, 2–19. doi:10.1016/j.atmosres.2014.04.014

Capturing Cold-Air Flow Using Thermal Imaging.
Grudzielanek, A. M.; Cermak, J.
2015. Boundary layer meteorology, 157 (2), 321–332. doi:10.1007/s10546-015-0042-8

Where Aerosols Become Clouds-Potential for Global Analysis Based on CALIPSO Data.
Fuchs, J.; Cermak, J.
2015. Remote sensing, 7 (4), 4178–4190. doi:10.3390/rs70404178

Authentizität beim Lernen - Eine empirische Untersuchung zur Vermittlung des globalen Klimawandels im Geographieunterricht.
Flake, S.; Cermak, J.; Sprenger, S.
2015. Zeitschrift für Geographiedidaktik, 43 (3), 233–253

How thermodynamic environments control stratocumulus microphysics and interactions with aerosols.
Andersen, H.; Cermak, J.
2015. Environmental research letters, 10 (2), Art. Nr.: 024004. doi:10.1088/1748-9326/10/2/024004

Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature.
Wu, P.; Shen, H.; Zhang, L.; Goettsche, F.-M.
2015. Remote sensing of environment, 156, 169–181. doi:10.1016/j.rse.2014.09.013

Kalman filter physical retrieval of surface emissivity and temperature from SEVIRI infrared channels: A validation and intercomparison study.
Masiello, G.; Serio, C.; Venafra, S.; Liuzzi, G.; Göttsche, F.; Trigo, I. F.; Watts, P.
2015. Atmospheric measurement techniques, 8 (7), 2981–2997. doi:10.5194/amt-8-2981-2015

Quality assessment of S-NPP VIIRS land surface temperature product.
Liu, Y.; Yu, Y.; Yu, P.; Goettsche, F. M.; Trigo, I. F.
2015. Remote sensing, 7 (9), 12215–12241. doi:10.3390/rs70912215

Meteosat land surface temperature climate data record: Achievable accuracy and potential uncertainties.
Duguay-Tetzlaff, A.; Bento, V. A.; Goettsche, F. M.; Stoeckli, R.; Martins, J. P. A.; Trigo, I.; Olesen, F.; Bojanowski, J. S.; da Camara, C.; Kunz, H.
2015. Remote sensing, 7 (10), 13139–13156. doi:10.3390/rs71013139

Ecosystem properties of semiarid savanna grassland in West Africa and its relationship with environmental variability.
Tagesson, T.; Fensholt, R.; Guiro, I.; Rasmussen, M. O.; Huber, S.; Mbow, C.; Garcia, M.; Horion, S.; Sandholt, I.; Holm-Rasmussen, B.; Göttsche, F. M.; Ridler, M. E.; Olen, N.; Olsen, J. L.; Ehammer, A.; Madsen, M.; Olesen, F. S.; Ardö, J.
2015. Global change biology, 21, 250–264. doi:10.1111/gcb.12734

Evaluation of GOES-R Land Surface Temperature Algorithm Using SEVIRI Satellite Retrievals With in situ Measurements.
Xu, H.; Yu, Y.; Tarpley, D.; Gottsche, F.; Olesen, F.-S.
2014. IEEE transactions on geoscience and remote sensing, 52 (7), 3812–3822. doi:10.1109/TGRS.2013.2276426

Temperature and Emissivity Separation From MSG/SEVIRI Data.
Jimenez-Munoz, J. C.; Sobrino, J. A.; Mattar, C.; Hulley, G.; Gottsche, F.-M.
2014. IEEE transactions on geoscience and remote sensing, 52 (9), 5937–5951. doi:10.1109/TGRS.2013.2293791

Validation of Land Surface Temperature products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) using ground-based and heritage satellite measurements.
Guillevic, P. C.; Biard, J. C.; Hulley, G. C.; Privette, J. L.; Hook, S. J.; Olioso, A.; Göttsche, F. M.; Radocinski, R.; Roman, M. O.; Yu, Y.; Csiszar, I.
2014. Remote sensing of environment, 154, 19–37. doi:10.1016/j.rse.2014.08.013

The surface temperatures of Earth : steps towards integrated understanding of variability and change.
Merchant, C. J.; Matthiesen, S.; Rayner, N. A.; Remedios, J. J.; Jones, P. D.; Olesen, F.; Trewin, B.; Thorne, P. W.; Auchmann, R.; Corlett, G. K.; Guillevic, P. C.; Hulley, G. C.
2013. Geoscientific instrumentation, methods and data systems, 2 (2), 305–321. doi:10.5194/gi-2-305-2013

The sensitivity of the modeled energy budget and hydrological cycle to CO2 and solar forcing.
Schaller, N.; Cermak, J.; Wild, M.; Knutti, R.
2013. Earth System Dynamics, 4 (2), 253–266. doi:10.5194/esd-4-253-2013

Validation of land surface temperature derived from MSG/SEVIRI with in situ measurements at Gobabeb, Namibia.
Göttsche, F.-M.; Olesen, F.-S.; Bork-Unkelbach, A.
2013. International journal of remote sensing, 34 (9-10), 3069–3083. doi:10.1080/01431161.2012.716539

1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data.
Schulz, H. M.; Thies, B.; Cermak, J.; Bendix, J.
2012. Atmospheric measurement techniques, 5 (10), 2469–2480. doi:10.5194/amt-5-2469-2012

Fog and Dew Observations and Modeling: Introduction.
Gultepe, I.; Bendix, J.; Klemm, O.; Eugster, W.; Cermak, J.
2012. Pure and applied geophysics, 169 (5-6), 765–766. doi:10.1007/s00024-012-0471-y

Remote sensing of aerosols and clouds: Techniques and applications (editorial to special issue in Atmospheric Research).
Leeuw, G. de; Kokhanovsky, A.; Cermak, J.
2012. Atmospheric research, 113, 40–42. doi:10.1016/j.atmosres.2012.04.017

Low clouds and fog along the South-Western {\{}A{\}}frican coast — Satellite-based retrieval and spatial patterns.
Cermak, J.
2012. Atmospheric research, 116, 15–21. doi:10.1016/j.atmosres.2011.02.012

Validation of six satellite-retrieved land surface emissivity products over two land cover types in a hyper-arid region.
Göttsche, F.-M.; Hulley, G. C.
2012. Remote Sensing of Environment, 124, 149–158. doi:10.1016/j.rse.2012.05.010

The Satellite Application Facility for Land Surface Analysis.
Trigo, I. F.; Dacamara, C. C.; Viterbo, P.; Roujean, J.-L.; Olesen, F.; Barroso, C.; Camacho-de-Coca, F.; Carrer, D.; Freitas, S. C.; García-Haro, J.; Geiger, B.; Gellens-Meulenberghs, F.; Ghilain, N.; Meliá, J.; Pessanha, L.; Siljamo, N.; Arboleda, A.
2011. International journal of remote sensing, 32 (10), 2725–2744. doi:10.1080/01431161003743199

Analyzing precipitation projections: A comparison of different approaches to climate model evaluation.
Schaller, N.; Mahlstein, I.; Cermak, J.; Knutti, R.
2011. Journal of geophysical research, 116, Art. Nr.: D10118. doi:10.1029/2010JD014963

Retrieval of optical and microphysical cloud properties from Meteosat SEVIRI data at night -- a feasibility study based on radiative transfer calculations.
Merk, C.; Cermak, J.; Bendix, J.
2011. Remote sensing letters, 2 (4), 357–366. doi:10.1080/01431161.2010.523023

Will the southern African west coast fog be affected by future climate change? Results of an initial fog projection using a regional climate model.
Haensler, A.; Cermak, J.; Hagemann, S.; Jacob, D.
2011. Erdkunde, 65 (3), 261–275. doi:10.3112/erdkunde.2011.03.04

Detecting Ground Fog From Space - A Microphysics-Based Approach.
Cermak, J.; Bendix, J.
2011. International journal of remote sensing, 32 (12), 3345–3371. doi:10.1080/01431161003747505

Directional Effects on Land Surface Temperature Estimation From Meteosat Second Generation for Savanna Landscapes.
Rasmussen, M. O.; Göttsche, F.-M.; Olesen, F.-S.; Sandholt, I.
2011. IEEE Transactions on Geoscience and Remote Sensing, 49 (11), 4458–4468. doi:10.1109/TGRS.2011.2144604

Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data.
Rasmussen, M. O.; Göttsche, F. M.; Diop, D.; Mbow, C.; Olesen, F. S.; Fensholt, R.; Sandholt, I.
2011. International Journal of Applied Earth Observation and Geoinformation, 13 (4), 517–527. doi:10.1016/j.jag.2011.01.007

Microwave absorption of supercooled clouds and implications for the dielectric properties of water.
Maetzler, C.; Rosenkranz, P. W.; Cermak, J.
2010. Journal of geophysical research, 115, Art. Nr.: D23208. doi:10.1029/2010JD014283

Challenges in Combining Projections from Multiple Climate Models.
Knutti, R.; Furrer, R.; Tebaldi, C.; Cermak, J.; Meehl, G. A.
2010. Journal of climate, 23 (10), 2739–2758. doi:10.1175/2009JCLI3361.1

Consistency of global satellite-derived aerosol and cloud data sets with recent brightening observations.
Cermak, J.; Wild, M.; Knutti, R.; Mishchenko, M. I.; Heidinger, A. K.
2010. Geophysical research letters, 37 (21), Art. Nr.: L21704. doi:10.1029/2010GL044632

Quantifying the uncertainty of land surface temperature retrievals from SEVRI/Meteosat.
Freitas, S. C.; Trigo, I. F.; Bioucas-Dias, J. M.; Göttsche, F. M.
2010. IEEE Transactions on Geoscience and Remote Sensing, 48 (1), 523–34. doi:10.1109/TGRS.2009.2027697

European climatology of fog and low stratus based on geostationary satellite observations.
Cermak, J.; Eastman, R. M.; Bendix, J.; Warren, S. G.
2009. Quarterly journal of the Royal Meteorological Society, 135 (645), 2125–2130. doi:10.1002/qj.503

Beijing Olympics as an aerosol field experiment.
Cermak, J.; Knutti, R.
2009. Geophysical research letters, 36 (10), Art. Nr.: L10806. doi:10.1029/2009GL038572

Formation of Convective Clouds at the Foothills of the Tropical Eastern Andes (South Ecuador).
Bendix, J.; Trachte, K.; Cermak, J.; Rollenbeck, R.; Nauß, T.
2009. Journal of applied meteorology and climatology, 48 (8), 1682–1695. doi:10.1175/2009JAMC2078.1

Modelling the effect of optical thickness on diurnal cycles of land surface temperature.
Göttsche, F.-M.; Olesen, F.-S.
2009. Remote Sensing of Environment, 113 (11), 2306–2316. doi:10.1016/j.rse.2009.06.006

A novel approach to fog/low stratus detection using Meteosat 8 data.
Cermak, J.; Bendix, J.
2008. Atmospheric research, 87 (3-4), 279–292. doi:10.1016/j.atmosres.2007.11.009

FMet-an integrated framework for Meteosat data processing for operational scientific applications.
Cermak, J.; Bendix, J.; Dobbermann, M.
2008. Computers & geosciences, 34 (11), 1638–1644. doi:10.1016/j.cageo.2007.12.006

The impact of image dynamic range on texture classification of brain white matter.
Mahmoud-Ghoneim, D.; Alkaabi, M. K.; de Certaines, J. D.; Goettsche, F.
2008. BMC Medical Imaging, (2008), 8:18. doi:10.1186/1471-2342-8-18

Initial results of the land surface temperature (LST) validation with the Evora, Portugal ground-truth station measurements.
Kabsch, E.; Olesen, F. S.; Prata, F.
2008. International Journal of Remote Sensing, 29, 5329–45. doi:10.1080/01431160802036326

An assessment of remotely sensed land surface temperature.
Trigo, I. F.; Monteiro, I. T.; Olesen, F.; Kabsch, E.
2008. Journal of Geophysical Research, 113(D17108), 2008. doi:10.1029/2008JD010035

Mountain forest islands and Holocene environmental changes in Central Asia: A case study from the southern Gobi Altay, Mongolia.
Miehe, G.; Schluetz, F.; Miehe, S.; Opgenoorth, L.; Cermak, J.; Samiya, R.; Jaeger, E. J.; Wesche, K.
2007. Palaeogeography, palaeoclimatology, palaeoecology, 250 (1-4), 150–166. doi:10.1016/j.palaeo.2007.03.022

Fog Research: A Review of Past Achievements and Future Perspectives.
Gultepe, I.; Tardif, R.; Michaelides, S. C.; Cermak, J.; Bott, A.; Bendix, J.; M{\"{u}}ller, M. D.; Pagowski, M.; Hansen, B.; Ellrod, G.; Jacobs, W.; Toth, G.; Cober, S. G.
2007. Pure and applied geophysics, 164 (6-7), 1121–1159. doi:10.1007/s00024-007-0211-x

Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study.
Cermak, J.; Bendix, J.
2007. Pure and applied geophysics, 164 (6-7), 1179–1192. doi:10.1007/s00024-007-0213-8

Estimation of sea surface temperature from SEVIRI data: algorithm testing and comparison with AVHRR products.
Romaguera, M.; Sobrino, J. A.; Olesen, F. S.
2007. International Journal of Remote Sensing, 27, 5081–86. doi:10.1080/01431160500165674

SOFOS - a new Satellite-based Operational Fog Observation Scheme. PhD dissertation.
Cermak, J.
2006. Marburg

SOFOS - a new Satellite-based Operational Fog Observation Scheme.
Cermak, J.
2006. Marburger Geograph. Ges

Characterization of Low Clouds With Satellite and Ground-Based Remote Sensing Systems.
Cermak, J.; Schneebeli, M.; Nowak, D.; Vuilleumier, L.; Bendix, J.
2006. Meteorologische Zeitschrift, 15 (1), 65–72. doi:10.1127/0941-2948/2006/0100

A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land.
Bendix, J.; Thies, B.; Nauss, T.; Cermak, J.
2006. Meteorological applications, 13 (2), 111–125. doi:10.1017/s1350482706002180

Cloud occurrence and cloud properties in Ecuador.
Bendix, J.; Rollenbeck, R.; G{\"{o}}ttlicher, D.; Cermak, J.
2006. Climate research, 30 (2), 133–147. doi:10.3354/cr030133

Isolated Birch and Willow Forests in the Govi Gurvan Sayhan National Park.
Opgenoorth, L.; Cermak, J.; Miehe, G.; Schoch, W.
2005. Erforschung biologischer Ressourcen der Mongolei, 9, 247–258

Satellite based retrieval of cloud properties and their use in rainfall retrievals and fog detection.
Nauss, T.; Cermak, J.; Kokhanovsky, A.; Reudenbach, C.; Bendix, J.
2005. Photogrammetrie, Fernerkundung, Geoinformation, 3, 209–218

Isolated Mountain Forests in Central Asian Deserts: A Case Study from the Govi Altay, Mongolia.
Cermak, J.; Opgenoorth, L.; Miehe, G.
2005. Mountain Ecosystems: Studies in Treeline Ecology. Ed. : Prof. Dr. G. Broll, 253–273, Springer Verlag GmbH Deutschland. doi:10.1007/3-540-27365-4_11

Ground Fog Detection from Space Based on MODIS Daytime Data - A Feasibility Study.
Bendix, J.; Thies, B.; Cermak, J.; Nauss, T.
2005. Weather and forecasting, 20 (6), 989–1005. doi:10.1175/waf886.1

Intercalibration of NOAA and Meteosat window channel brightness temperatures.
Barroso, C.; Trigo, I. F.; Olesen, F.; Dacamara, C.; Queluz, M. P.
2005. International Journal of Remote Sensing, 26, 3717–33. doi:10.1080/01431160500159834

Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method.
Dash, P.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2005. Remote Sensing of Environment, 96, 1–17. doi:10.1016/j.rse.2004.12.023

Dynamics of Forest Islands in the Govi Altay: Microclimate and Human Impact.
Cermak, J.; Opgenoorth, L.
2003. Berliner paläobiologische Abhandlungen, 2, 28–28

Determination of land surface temperature distributions from single channel IR measurements: an effective spatial interpolation method for the use of TOVS, ECMWF and radiosonde profiles in the atmospheric correction scheme.
Schroedter, M.; Olesen, F.; Fischer, H.
2003. International Journal of Remote Sensing, 24, 1189–96. doi:10.1080/01431160110115087

Bestimmung und Analyse der Temperatur von Landoberflächen aus Satellitendaten.
Olesen, F. S.; Göttsche, F. M.
2003. Nachrichten - Forschungszentrum Karlsruhe, 35, 57–61

Thermal land-surface variables from METEOSAT-IR data.
Göttsche, F.; Olesen, F. S.
2003. Bolle, H.J. [Hrsg.] Mediterranean Climate : Variability and Trends Berlin [u.a.] : Springer, 2003 (Regional Climate Studies), 277–92

Emissivity and temperature estimation from MSG SEVIRI data. Method validation with simulated and NOAA-14 AVHRR data.
Dash, P.; Göttsche, F. M.; Olesen, F. S.
2003. Advances in Space Research, 34th COSPAR Scientific Assembly, the 2nd World Space Congress, Houston, Tex., October 10-19, 2002, 32, 2241–46. doi:10.1016/S0273-1177(03)90549-7

Potential of MSG for surface temperature and emissivity estimation: considerations for real-time applications.
Dash, P.; Göttsche, F. M.; Olesen, F. S.
2002. International Journal of Remote Sensing, 23, 4511–18. doi:10.1080/01431160210146659

Retrieval of land surface temperature from combined AVHRR data.
Sun, Y. Y.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2002. Annales Geophysicae, 20, 1257–59

Land surface temperature and emissivity estimation from passive sensor data: theory and parctice-current trends.
Dash, P.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2002. International Journal of Remote Sensing, 23, 2563–94. doi:10.1080/01431160110115041

Use of multi-sensor data for mapping of thar desert.
Mishra, N. C.; Kanwar, R.; Sarakar, S.; Dash, P.; Singh, R. P.
2002. Advances in space research, 29 (1), 51–55. doi:10.1016/S0273-1177(01)00627-5

Evolution of neural networks for radiative transfer calculations in the terrestrial infrared.
Göttsche, F. M.; Olesen, F. S.
2002. Remote sensing of environment, 80 (1), 157–164. doi:10.1016/S0034-4257(01)00297-8

Retrieval of land surface temperature and emissivity from satellite data: physics, theoretical limitations and current methods.
Dash, P.; Goettsche, F. M.; Olesen, F. M.; Fischer, H.
2002. Journal of the Indian Society of Remote Sensing, Annual Convention and Symp.on Spatial Technologies for Natural Hazards Management, Indian Institute of Technology, Kanpur, IND, November 21-22, 2000,(2001) &2, 29 (1), 23–30

Sea ice surface temperature in the weddell sea (antarctica) from drifting buoy and AVHRR data.
Veihelmann, B.; Olesen, F. S.; Kottmeier, C.
2001. Cold regions science and technology, 33, 19–27

Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data.
Göttsche, F. M.; Olesen, F. S.
2001. Remote Sensing of Environment, 76, 337–48

Influence of land surface parameters and atmosphere on METEOSAT brightness temperatures and generation of land surface temperature maps by temporally and spatially interpolating atmospheric correction.
Schädlich, S.; Göttsche, F. M.; Olesen, F. S.
2001. Remote Sensing of Environment, 75, 39–46

High resolution time series of IR data from a combination of AVHRR and METEOSAT.
Olesen, F. S.; Kind, O.; Reutter, H.
1995. Advances in Space Research, S.(10)141-(10)146, 16

Land surface temperature derivation from a combination of AVHRR- and METEOSAT IR - data.
Olesen, F. S.
1995. The Meteorological Satellite Data Users’ Conf., Polar Orbiting Systems, Winchester, GB, September 4-8, 1995 Proc. / EUMETSAT EUM-P-17 (1995), 171–76

Distribution of the brightness temperature of land surfaces determined from AVHRR data.
Reutter, H.; Olesen, F. S.; Fischer, H.
1994. International Journal of Remote Sensing, 15, 95–104

Use of the matrix operator theory for radiative transfer in atmospheric absorption bands.
Sun, Y. Y.; Olesen, F. S.; Fischer, H.
1992. Beiträge zur Physik der Atmosphäre, Contr. to atmos. phys. 65 (1992) S. 223-230., 65, 223–30

Passive Verfahren zur Vertikalsondierung.
Olesen, F. S.; Schluessel, P.
1990. Promet, (1990) /4, (3), 100–05

Selbstkompetent und motiviert durch die Studieneingangsphase - Nachhaltige Maßnahmen.
Kamm, B.; Rabold, J.; Heublein, M.; Mayer, M.; Cermak, J.
2020, October 16. Campustage 2020 „Lehre^Forschung-PLUS“ (2020), Karlsruhe, Germany, October 15–16, 2020

Beteiligung von Studierenden bei der Weiterentwicklung des Lehr-Lernsystems.
KIT-Teilprojekte Lehre^Forschung PLUS in Zusammenarbeit mit den Organisator*innen der Campustage 2020 [Hrsg.]; Teilprojekt LernenCoaching Lehreinheit „Geodäsie und Geoinformatik“ [Hrsg.]; Rabold, J.; Kamm, B.; Heublein, M.; Mayer, M.; Cermak, J.
2020. doi:10.5445/IR/1000124209

Querschnittsthemen als Instrument zur besseren Vernetzung von Lerninhalten und Ausgangspunkt für die Weiterentwicklung des Lehr-Lernsystems.
Rabold, J.; Mayer, M.; Heß, K.; Cermak, J.
2020, March 11. 49. Jahrestagung der Deutschen Gesellschaft für Hochschuldidaktik (2020), Berlin, Germany, March 10–13, 2020

Gelingendes Zusammenspiel von Einzelmaßnahmen zur Weiterentwicklung des Lehr-Lernsystems im BSc-Studiengang „Geodäsie und Geoinformatik“ am Karlsruher Institut für Technologie (KIT).
Mayer, M.; Heß, K.; Cermak, J.
2020, March 4. 40. Wissenschaftlich-Technische Jahrestagung der DGPF (2020), Stuttgart, Germany, March 4–6, 2020

NaFoLiCA: Synoptic-scale controls of fog and low cloud variability in the Namib Desert.
Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R.
2020. European Geosciences Union General Assembly (EGU 2020), Online, May 4–8, 2020

Selbstkompetente Studieneingangsphase – Wirkungsanalyse prototypischer Unterstützungsinstrumente.
Mayer, M.; Heublein, M.; Rabold, J.-M.; Cermak, J.
2019, September 26. 4. Symposium zur Hochschullehre in den MINT-Fächern: Auf dem Weg zu guter MINT-Lehre: Erfahrungen – Evidenzen – Theorien (2019), Nuremberg, Germany, September 26–27, 2019

Conditions for deriving air quality information from satellite data.
Stirnberg, R.; Cermak, J.
2018, April. European Geosciences Union General Assembly (EGU 2018), Vienna, Austria, April 8–13, 2018

Report from the Field InterComparison Experiment (FICE) for Land Surface Temperature.
Göttsche, F.-M.; Olesen, F.; Poutier, L.; Langlois, S.; Wimmer, W.; Santos, V. G.; Coll, C.; Niclos, R.; Arbelo, M.; Monchau, J.-P.
2018. ESA

Land Surface Temperature Product Validation Best Practice Protocol Version 1.1 - January, 2018.
Guillevic, P.; Göttsche, F.; Nickeson, J.; Hulley, G.; Ghent, D.; Yu, Y.; Trigo, I.; Hook, S.; Sobrino, J. A.; Remedios, J.; Román, M.; Camacho, F.
2018. Land Product Validation Subgroup (WGCV/CEOS). doi:10.5067/doc/ceoswgcv/lpv/lst.001

Fiducial Reference Measurements for Validation of Surface Temperature from Satellites (FRM4STS) - A Framework to Verify the Field Performance of TIR FRM.
Göttsche, F.; Olesen, F. S.; Høyer, J. L.; Wimmer, W.; Nightingale, T.
2017. European Space Agency (ESA)

Fernerkundliche Nebelkennung und Nebelklimatologie.
Cermak, J.
2017. MeteoSchweiz, Zürich, CH, 23.Februar 2017

Fog frequency and properties from active-sensor satellite data.
Cermak, J.
2016. AGU Fall Meeting, San Francisco, CA, December 12-16, 2016

A framework for production and validation of global diurnally-resolved observations of land surface temperature.
Ghent, D.; Remedios, J.; Trigo, I.; Göttsche, F.; Olesen, F.; Prigent, C.; Pinnock, S.
2014. ESA Land Products Validation and Evolution Workshop, Frascati, I, January 28-30, 2014

Improved in-situ methods for determining land surface emissivity.
Göttsche, F.; Olesen, F.; Hulley, G.
2014. European Geosciences Union (EGU) General Assembly, Wien, A, April 27 - May 2, 2014

Improved in-situ mmethods for determining land surface emissivity.
Göttsche, F.; Olesen, F.; Hulley, G.
2014. 3rd EarthTemp Network Workshop and GlobTemperature User Consultation Meeting, Karlsruhe, June 23-26, 2014

Anisotropic effects in satellite-retrieved LST products. Experimental study.
Verestek, V.; Olesen, F.
2013. 2013 EUMETSAT Meteorological Satellite Conference, Wien, A, September 16-20, 2013

Validation of land surface temperature products and site characterisation with ground based radiometric measurements.
Goettsche, F.; Olesen, F.; Bork-Unkelbach, A.
2013. European Geosciences Union (EGU) General Assembly, Wien, A, April 7-12, 2013

Continuous validation of LST: results.
Göttsche, F.; Olesen, F.; Bork-Unkelbach, A.
2012. Taking the Temperature of the Earth : 1st Annual EarthTemp Network Meeting, Edinburgh, June 25-27, 2012

Continuous validation of LST over large homogeneous sites in Africa and Europe.
Olesen, F.; Göttsche, F.; Bork-Unkelbach, A.
2012. Taking the Temperature of the Earth : 1st Annual EarthTemp Network Meeting, Edinburgh, June 25-27, 2012

Validation of operational land surface temperature products with three years of continuous in-situ measurements.
Göttsche, F.; Olesen, F.; Bork-Unkelbach, A.
2011. 2011 EUMETSAT Meteorological Satellite Conf., Oslo, N, September 5-9, 2011

VIS and IR characterization of a permanent LST validation site.
Bork-Unkelbach, A.; Olesen, F.; Göttsche, F.
2011. 2011 EUMETSAT Meteorological Satellite Conf., Oslo, N, September 5-9, 2011

Characterisation of permanent LST validation sites with field surveys and an unmanned aerial vehicle (UAV).
Bork-Unkelbach, A.; Olesen, F.; Göttsche, F.
2011. 2010 EUMETSAT Meteorological Satellite Conf., Cordoba, E, September 20-24, 2010

Validation of satellite retrieved land surface temperature with station measurements.
Xu, H.; Yu, Y.; Göttsche, F.
2011. 34th International Symp.on Remote Sensing of Environment, Sydney, AUS, April 10-15, 2011

Characterisation of permanent LST validation sites with field surveys and an unmanned aerial vehicle (UAV).
Bork-Unkelbach, A.; Olesen, F.; Göttsche, F.
2010. 2009 EUMETSAT Meteorological Satellite Conf., Bath, GB, September 21-25, 2009

Directional effects on land surface. Temperature estimation from MSG-SEVIRI.
Rasmussen, M. O.; Göttsche, F.; Olesen, F.; Pinheiro, A.; Proud, S. R.; Sandholt, I.
2010. Land Surface Analysis SAF 2010 User Workshop, Toulouse, F, November 15-17, 2010

Validation results for land surface temperature.
Olesen, F.; Göttsche, F.; Bork-Unkelbach, A.
2010. Land Surface Analysis SAF 2010 User Workshop, Toulouse, F, November 15-17, 2010

Intercomparison between SEVIRI LST-products and comparison with in situ LST measurements.
Rasmussen, M. O.; Göttsche, F.; Olesen, F.; Mougin, E.; Timouk, F.; Sandholt, I.
2010. Land Surface Analysis SAF 2010 User Workshop, Toulouse, F, November 15-17, 2010

Characterisation of permanent LST validation sites with field surveys and an unmanned aerial vehicle (UAV).
Olesen, F.; Göttsche, F.; Bork-Unkelbach, A.
2010. Land Surface Analysis SAF 2010 User Workshop, Toulouse, F, November 15-17, 2010

Wie heiß ist es wirklich? Validierung der Temperaturen von Landoberflächen.
Olesen, F.
2010. Vortr.: Universität Basel, 7.Oktober 2009

Field measurements and modelling of diurnal cycles of land surface temperature at Gobabeb, Namibia.
Göttsche, F. M.; Olesen, F. S.; Bork-Unkelbach, A.
2010. 3rd Internat.Symp.on the Recent Advances in Quantitative Remote Sensing, Valenica, E, September 27 - October 1, 2010

Identification and quantification of risk with operational meteorological satellites.
Olesen, F.; Göttsche, F.
2009. Application of Remote Sensing to Risk, Karlsruhe, November 11-13, 2009

Measuring perceived air quality and intensity by means of sensor systems, the European project SysPAQ.
Müller, B.; Dahms, A.; Jakob, B.; Knudsen, H. N.; Afshari, A.; Wargocki, P.; Olesen, B.; Berglund, B.; Ramalho, O.; Häringer, D.; Jann, O.; Horn, W.; Nesa, D.; Loubet, F.; Ruponen, M.
2009. Healthy Buildings 2009 : 9th Internat.Conf.and Exhibition, Syracuse, N.Y., September 13-17, 2009

A simple physically based model of diurnal cycles of land surface temperature.
Göttsche, F. M.; Olesen, F. S.
2009. Proc.of 2009 EUMETSAT Meteorological Satellite Conf., Bath, GB, September 21-25, 2009 Darmstadt : EUMETSAT, 2009 EUM

Validation of land surface temperatures obtained from METEOSAT-MVIRI and SEVIRI with in-situ measurements.
Olesen, F. S.; Göttsche, F. M.
2009. Proc.of 2009 EUMETSAT Meteorological Satellite Conf., Bath, GB, September 21-25, 2009 Darmstadt : EUMETSAT, 2009 EUM

Integrating nitrogen interactions at the farm and landscape scales to assess the impact of management scenarios.
Drouet, J. L.; Cellier, P.; Duretz, S.; Maury, O.; Durand, P.; Flechard, C.; Salmon-Monviola, J.; Theobald, M. R.; Dragosits, U.; Braban, C.; Hutchings, N. J.; Olesen, J. E.; Dalgaard, T.; Schelde, K.; Breuer, L.; Kraft, P.; Vache, K. B.; Butterbach-Bahl, K.; Bleeker, A.; Frumau, A.; Bienkowski, J.; Kedziora, A.; Magliulo, E.; Magliulo, P.; Sutton, M. A.
2009. Grignani, C. [Hrsg.] Proc.of the 16th Nitrogen Workshop : Connecting Different Scales of Nitrogen Use in Agriculture, Torino, I, June 28 - July 1, 2009 Torino : Universita degli Studi di Torino, 2009

Integrating nitrogen interactions at the farm and landscape scales to assess the impact of management scenarios.
Drouet, J. L.; Cellier, P.; Duretz, S.; Maury, O.; Durand, P.; Flechard, C.; Salmon-Monviola, J.; Theobald, M. R.; Dragosits, U.; Braban, C.; Hutchings, N. J.; Olesen, J. E.; Dalgaard, T.; Schelde, K.; Breuer, L.; Kraft, P.; Vache, K. B.; Butterbach-Bahl, K.; Bleeker, A.; Frumau, A.; Bienkowski, J.; Kedziora, A.; Magliulo, E.; Magliulo, P.; Sutton, M. A.
2009. Grignani, C. [Hrsg.] Proc.of the 16th Nitrogen Workshop : Connecting Different Scales of Nitrogen Use in Agriculture, Torino, I, June 28 - July 1, 2009 Torino : Universita degli Studi di Torino, 2009

Cloud analysis from METEOSAT data using image segmentation for climate model verification.
Huckle, R.; Olesen, F.
2008. Proc.of 2008 EUMETSAT Meteorological Satellite Conf., Darmstadt, September 8-12, 2008 Darmstadt : EUMETSAT, 2008

Development of an automated cloud detection for MSG using image segmentation.
Huckle, R.; Olesen, F.
2008. GEOgraphic Object-Based Image Analysis for the 21st Century (GEOBIA 2008) : Pixels, Objects, Intelligence, Calgary, CDN, August 5-8, 2008

Comparison of cloud statistics from MSG with regional climate model data.
Huckle, R.; Olesen, F.; Schädler, G.
2008. Helmholtz-EOS Konf., Potsdam, 28.-29.Oktober 2008

The Dahra test site, Senegal.
Fensholt, R.; Norgaard, A.; Rasmussen, M.; Stisen, S.; Jensen, B.; Mbow, C.; Sandholt, I.; Olesen, F.
2008. 3rd Land Surface Analysis SAF User Training Workshop, Lisboa, P, June 4-6, 2008

Land surface temperature validation sites for MSG/SEVIRI.
Olesen, F.; Göttsche, F.; Kabsch, E.
2008. NCDC LST-Workshop, Asheville, N.C., April 7-9, 2008 3rd Land Surface Analysis SAF User Training Workshop, Lisboa, P, June 4-6, 2008

Ground truth for MSG land-surface temperature.
Gajewska, E.; Prata, F.; Olesen, F.
2006. 2006 Eumetsat Meteorological Satellite Conf., Helsinki, SF, June 12-16, 2006

Validation of land surface temperatures (LSTs) derived from MSG/SEVIRI with the Evora, Portugal ground-truth station measurements.
Gajewska, E.; Prata, F.; Olesen, F.
2006. 2nd Internat.Symp.on Recent Advances in Quantitative Remote Sensing, Valencia, E, September 25-29, 2006

A Meteosat-8 SEVIRI-Based Rainfall Retrieval for the Upper Danube Catchment Considering Cloud Properties.
Nauss, T.; Thies, B.; Cermak, J.; Reudenbach, C.; Bendix, J.
2005. GLOWA Danube

Identifying an optimal land surface temperature validation site for Meteosat second generation in the UAE.
Göttsche, F. M.; Dash, P.; Olesen, F. S.
2005. 1st UAE Internat.Conf.on Biological and Medical Physics, Al-Ain, UAE, March 27-30, 2005

Operationelle Auswertung von MSG-Daten über Land: LSA-SAF.
Olesen, F.; DaCamara, C.
2004. Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung (DACH 2004), Karlsruhe, 7.- 10.September 2004

Optimal land surface temperature validation site in Europe for MSG.
Dash, P.; Olesen, F. S.; Prata, A. J.
2004. 2004 EUMETSAT Meteorological Satellite Conf., Praha, CZ, May 31 - June 4, 2004 Proc. S.248-54 EUM P 41 (2004)

Towards a European service center for monitoring land surfaces at global and regional scales: the GEOLAND/ CSP project.
Leroy, M.; Lacaze, R.; Lindau, R.; Olesen, F.; Pessanha, L.; Piccard, I.; Rosema, A.; Roujean, J.-L.; Rubel, F.; Wagner, W.; Weiss, M.
2004. 20th Congress of the Internat. Soc. for Photogrammetry and Remote Sensing (ISPRS), Istanbul, TR, July 23-29, 2004

Analysis of structure and context for cloud classification.
Koch, C.; Olesen, F. S.
2004. 35th COSPAR Scientific Assembly, Paris, F, July 18-25, 2004

Classification of clouds based on structure and context analyses.
Koch, C.; Olesen, F. S.
2004. 3rd Internat.eCognition User Meeting, München, March 4-5, 2004

Emissivity and temperature estimation from MSG SEVIRI data. Method validation with simulated and NOAA-14 AVHRR data.
Dash, P.; Göttsche, F. M.; Olesen, F. S.
2003. 34th COSPAR Scientific Assembly, the 2nd World Space Congress, Houston, Tex., October 10-19, 2002 Advances in Space Research, 32(2003) DOI:10.1016/S0273-1177(03)90549-7

Von oben sieht man mehr. Satelliten in der Umweltforschung.
Olesen, F.
2002. Geo-Wochenende, Karlsruhe, 22.-23.Juni 2002

Multi-scale segmentation of satellite data into image objects and knowledge-based detection and classification of clouds.
Göttsche, F. M.; Olesen, F. S.
2002. The 2002 EUMETSAT Meteorological Satelite Conf., Dublin, IRL, September 2-6, 2002

Combined analyses of land surface temperature and a vegetation index for surface characterisation.
Göttsche, F. M.; Olesen, F. S.; Dash, P.
2002. 34th COSPAR Scientific Assembly, the 2nd World Space Congress, Houston, Tex., October 10-19, 2002

Characterisation of land-surfaces by modelling diurnal temperature cycles derived from METEOSAT IR measurements.
Göttsche, F. M.; Olesen, F. S.
2002. Satellite Application Facility for Land Surface Analysis, Workshop, Lisboa, P, July 8-11, 2002

Wolkenerkennung und Klassifikation mit Ecognition.
Göttsche, F. M.; Olesen, F. S.
2002. CGI-Benutzertreffen, Iffeldorf, 23.-24.April 2002

Atmospheric correction of IR satellite data using neural networks.
Göttsche, F. M.; Olesen, F. S.
2002. 1st Internat.Symp.on Recent Advances in Quantitative Remote Sensing, Valencia, E, September 16-20, 2002

Retrieval of land surface temperature and emissivity from satellite data: physics, theoretical limitations and current methods.
Dash, P.; Goettsche, F. M.; Olesen, F. M.; Fischer, H.
2002. Annual Convention and Symp.on Spatial Technologies for Natural Hazards Management, Indian Institute of Technology, Kanpur, IND, November 21-22, 2000 Journal of the Indian Society of Remote Sensing, 29(2001) Nr.1&2

Bestimmung and Analyse der Temperatur von Landoberflächen aus Satellitendaten.
Olesen, F. S.; Göttsche, F. M.; Dash, P.
2001. Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung, Wien, A, September 18-21, 2001

Substituting radiative transfer modelling in the thermal infrared by neural networks.
Göttsche, F. M.; Olesen, F. S.
2001. Internat.Geoscience and Remote Sensing Symp., Sydney, AUS, July 9-13, 2001

Thermal land-surface-parameters from METEOSAT-IR data.
Göttsche, F.; Olesen, F. S.
2001. Workshop on Climate Indices in Africa and Research in Global Change in the Mediterranean, Casablanca, MA, February 20-27, 2001

Correction of the atmospheric influence on IR measurements by satellite with neural networks.
Vollmer, M.; Göttsche, F. M.; Olesen, F. S.
2000. The EUMETSAT Meteorological Satellite Data Users’ Conf., Bologna, I, May 29 - June 2, 2000

Modelling diurnal temperature waves of the land surface derived from METEOSAT- IR-data.
Göttsche, F. M.; Schädlich, S.; Olesen, F. S.
1999. REKLIP (Regio Klima Projekt) Symp., Karlsruhe, 5.-8.Oktober 1998

Deriving thermal land-surface parameters by modelling diurnal temperature waves extracted from METEOSAT-IR data.
Göttsche, F. M.; Olesen, F. S.
1999. 1999 EUMETSAT (Europe’s Meteorological Satellite) Data Users’ Conf., Copenhagen, DK, September 6-10, 1999

Extraktion der Parameter der täglichen Temperaturwelle aus METEOSAT-IR Zeitreihen zur Charakterisierung von Landoberflächen.
Göttsche, F. M.; Olesen, F. S.
1998. Deutsche Meteorologen-Tagung, Leipzig, 14.-18.September 1998

Characterisation of land-surfaces by modelling diurnal temperature waves extracted from METEOSAT-IR data.
Göttsche, F. M.; Olesen, F. S.
1998. 9th Conf.on Satellite Meteorology and Oceanography, Paris, F, May 25-29, 1998

Land surface temperature derivation from a combination of AVHRR- and METEOSAT IR - data.
Olesen, F. S.
1995. The Meteorological Satellite Data Users’ Conf., Polar Orbiting Systems, Winchester, GB, September 4-8, 1995 Proc. / EUMETSAT EUM-P-17 (1995)

Improved cloud detection in METEOSAT data by analyzing spectral, temporal and spatial information in combination with geo data.
Olesen, F. S.; Zimmermann, P.
1995. European Symp.on Satellite Remote Sensing II, Paris, F, September 25-29, 1995

Messung der Temperatur von Boden, Wasser und Luft mit Satelliten.
Olesen, F. S.
1994. Karlsruhe : KfK, 1994

High resolution IR imagery from NOAA/AVHRR and METEOSAT.
Olesen, F. S.; Kind, O.
1994. 10th METEOSAT Scientific Users’ Conf., Cascais, P, September 5-9, 1994

High resolution time series of land surface temperatures from AVHRR and Meteosat data.
Olesen, F. S.; Kind, O.; Reutter, H.
1994. 30th COSPAR Scientific Assembly, Hamburg, July 11-21, 1994

The evaporation in the upper Rhine valley.
Wenzel, A.; Kalthoff, N.; Fiedler, F.; Olesen, F. S.
1994. 19th General Assembly of the European Geophysical Society, Grenoble, F, April 25-29, 1994

Remote sensing of the land surface temperature.
Olesen, F. S.; Messinger, N.
1994. 19th General Assembly of the European Geophysical Society, Grenoble, F, April 25-29, 1994

Energiebilanzen und Verdunstung im Oberrheingraben.
Kalthoff, N.; Fiedler, F.; Wenzel, A.; Rutte, R.; Olesen, F. S.
1993. REKLIP-Kolloquium, Basel, CH, 4.November 1993

Determination of the diurnal change of land surface temperature.
Olesen, F. S.; Kind, O.; Messinger, N.
1993. 6th European AVHRR Data Users’ Meeting, Belgirate, I, June 29 - July 2, 1993

Verbesserte Wolkenerkennung mit AVHRR durch Analyse von Zeitserien des Reflexionsvermoegens.
Olesen, F. S.; Lutz, C.
1992. Deutsche Meteorologen-Tagung, Berlin, 16.-20.Maerz, 1992 Offenbach : Deutscher Wetterdienst, 1992 (Annalen der Meteorologie : N.F. ; 27)

Vertical sounding of the atmosphere and imaging radiometer.
Olesen, F. S.
1992. Cracknell, A.P. [Hrsg.] Space Oceanography : Lectures pres.at an Intensive Course, Dundee, GB, September 2-22, 1990 Singapore [u.a.] : World Scientific, 1992

Meteorologie und Klimaforschung.
Fischer, H.; Olesen, F. S.; Guesten, H.; Beheng, K. D.; Fiedler, F.
1991. Umweltforschung - Umwelttechnik Karlsruhe : KfK, 1991

Atmospheric correction of AVHRR IR-data with TOVS soundings.
Reutter, H.; Olesen, F. S.
1991. AVHRR Data Users’ Meeting : 5th, Tromsoe, N, June 25-28, 1991 Proc. / EUMETSAT EUM-P-09 (1991)

Improved cloud detection with AVHRR by means of time series of reflectivities.
Olesen, F. S.; Lutz, C.
1991. AVHRR Data Users’ Meeting : 5th, Tromsoe, N, June 25-28, 1991 Proc. / EUMETSAT EUM-P-09 (1991)

Influence of the topography on TOVS soundings.
Pfister, A.; Olesen, F. S.
1991. 6th Internat.TOVS Study Conf., Airlie, Va., May 1-6, 1991 Technical Proc

NOAA-Satelliten am ISYS.
Olesen, F. S.
1991. Arbeitstagung Klimaprogramm, Teilprogramm ’Strahlung und Wolken’, Kiel, 10.-11.Juni 1991

Wind vectors derived from structures within consecutive METEOSAT water vapour images.
Bueche, G.; Ottenbacher, A.; Fischer, H.; Olesen, F. S.
1990. COSPAR, 28th Plenary Meeting and Associated Activities, Den Haag, NL, June 25 - July 6, 1990

Determination of brightness temperatures of surfaces from satellite measurements.
Olesen, F. S.
1990. IGBP-Working Group, Strasbourg, F, June 21-22, 1990

Determination of brightness temperatures of surfaces from satellite.
Olesen, F. S.; Reutter, H.
1989. 4th AVHAR Data Users’ Meeting, Rothenburg, 5.-8.September 1989 Book of Abstracts

Kooperation mit dem DWD.
Olesen, F. S.
1989. Vortr.: Deutscher Wetterdienst, Offenbach, 9.Februar 1989

Bestimmung der Temperatur und Energiebilanz von Oberflaechen aus Satellitendaten.
Olesen, F. S.; Mannstein, H.
1989. Wechselwirkung Atmosphaere-Biosphaere : Tagung der Arbeitsgemeinschaft der Grossforschungseinrichtungen (AGF), Bonn-Bad Godesberg, 7.-9.Dezember 1989 Bonn-Bad Godesberg : AGF, 1989

TOVS processing in the IMK/KfK. Present activities and plans.
Olesen, F. S.; Pfister, A.
1988. 4th Internat.TOVS Study Conf., Igls, A, March 15-22, 1988

Auswertung von TOVS und AVHRR-Daten.
Olesen, F. S.
1987. Vortr.: Fa.Dornier, 3.November 1987

Locating and understanding aerosol-cloud interactions with satellite observations. PhD dissertation.
Fuchs, J.
2018. Ruhr-Universität

A Quantitative, Satellite-Based Analysis of Aerosol Effects on Liquid-Water Clouds. PhD dissertation.
Andersen, H.
2017. Ruhr-Universität

Extrapolation von in-situ Landoberflächentemperaturen auf Satellitenpixel. PhD dissertation.
Bork-Unkelbach, A.
2012. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000032489

Validation of land surface temperatures from MSG satellite measurements by observations at the ground station near Evora, Portugal. PhD dissertation.
Kabsch, E.
2009. Universität Karlsruhe (TH). doi:10.5445/IR/1000011486

Zeitreihen der Landoberflächentemperatur abgeleitet aus METEOSAT-7 Satellitendaten. PhD dissertation.
Schmidt, A.
2008. Universität Karlsruhe (TH). doi:10.5445/IR/1000009865

Land surface temperature and emissivity retrieval from satellite measurements. PhD dissertation.
Dash, P.
2005. Universität Karlsruhe (TH). doi:10.5445/IR/1000001413