2024
Fassnacht, F. E.; Mager, C.; Waser, L. T.; Kanjir, U.; Schäfer, J.; Buhvald, A. P.; Shafeian, E.; Schiefer, F.; Stančič, L.; Immitzer, M.; u. a. (2024). Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae021
Fröhlich, K.; Schmidtlein, S.; Saha, S. (2024). Moss abundance increased along a gradient of postfire interventions from high to low intensity after a forest fire in Brandenburg, Germany. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae025
Ghasemi, M.; Latifi, H.; Shafeian, E.; Naghavi, H.; Pourhashemi, M. (2024). A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data. International Journal of Remote Sensing, 45 (4), 1079 – 1109. doi:10.1080/01431161.2024.2305630
Herrmann, M.; Schmidt-Riese, E.; Bäte, D. A.; Kempfer, F.; Fassnacht, F. E.; Egger, G. (2024). Satellite-observed flood indicators are related to riparian vegetation communities. Ecological Indicators, 166, Artkl.Nr.: 112313. doi:10.1016/j.ecolind.2024.112313
Labenski, P.; Millin-Chalabi, G.; Pacheco-Pascagaza, A. M.; Senn, J. A.; Fassnacht, F. E.; Clay, G. D. (2024). An optical satellite-based analysis of phenology and post-fire vegetation recovery in UK upland moorlands. Environmental and Sustainability Indicators, 24, 100492. doi:10.1016/j.indic.2024.100492
Schäfer, J.; Winiwarter, L.; Weiser, H.; Höfle, B.; Schmidtlein, S.; Novotný, J.; Krok, G.; Stereńczak, K.; Hollaus, M.; Fassnacht, F. E. (2024). CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography. European Journal of Remote Sensing, 57 (1), 1–18. doi:10.1080/22797254.2024.2396932
Schäfer, J.; Winiwarter, L.; Weiser, H.; Novotný, J.; Höfle, B.; Schmidtlein, S.; Henniger, H.; Krok, G.; Stereńczak, K.; Fassnacht, F. E. (2024). Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. (T. Y. Lam, Hrsg.) Forestry: An International Journal of Forest Research, 97 (4), 512–530. doi:10.1093/forestry/cpad061
Schiller, C.; Költzow, J.; Schwarz, S.; Schiefer, F.; Fassnacht, F. E. (2024). Forest disturbance detection in Central Europe using transformers and Sentinel-2 time series. Remote Sensing of Environment, 315, 114475. doi:10.1016/j.rse.2024.114475
Shafeian, E.; Ewald, M.; Latifi, H.; Fassnacht, F. E. (2024). Unveiling the main drivers of tree decline in Zagros semi-arid forests. (R. Manso, Hrsg.) Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpae048
Wellenbeck, A.; Fehrmann, L.; Feilhauer, H.; Schmidtlein, S.; Misof, B.; Hein, N. (2024). Discriminating woody species assemblages from National Forest Inventory data based on phylogeny in Georgia. Ecology and Evolution, 14 (7), Art.-Nr.: e11569. doi:10.1002/ece3.11569
2023
Cherif, E.; Feilhauer, H.; Berger, K.; Dao, P. D.; Ewald, M.; Hank, T. B.; He, Y.; Kovach, K. R.; Lu, B.; Kattenborn, T.; u. a. (2023). From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. Remote Sensing of Environment, 292, Article no: 113580. doi:10.1016/j.rse.2023.113580
Ewald, M.; Labenski, P.; Westphal, E.; Metzsch-Zilligen, E.; Großhauser, M.; Fassnacht, F. E. (2023). Leaf litter combustion properties of Central European tree species. Forestry: An International Journal of Forest Research. doi:10.1093/forestry/cpad026
Gafna, D. J.; Obando, J. A.; Kalwij, J. M.; Dolos, K.; Schmidtlein, S. (2023). Climate change impacts on the availability of anti-malarial plants in Kenya. Climate Change Ecology, 5, Art.-Nr.: 100070. doi:10.1016/j.ecochg.2023.100070
Gaida, W.; Breunig, F. M.; Balbinot, R.; Galvão, L. S.; Moura, Y. M. (2023). Directional effects on the spectral response of Pinus elliottii stands cultivated in subtropical latitudes; [Efeitos direcionais sobre a resposta espectral de plantios de Pinus elliottii em latitudes subtropicais]. RA’E GA - O Espaco Geografico em Analise, 56, 140 – 161. doi:10.5380/raega.v56i0.85857
Gränzig, T.; Clasen, A.; Fassnacht, F. E.; Cord, A.; Förster, M. (2023). Combining remote sensing, habitat suitability models and cellular automata to model the spread of the invasive shrub Ulex europaeus. Biological Invasions, 25 (12), 3711–3736. doi:10.1007/s10530-023-03132-1
Labenski, P.; Ewald, M.; Schmidtlein, S.; Heinsch, F. A.; Fassnacht, F. E. (2023). Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations. Remote Sensing of Environment, 295, 113711. doi:10.1016/j.rse.2023.113711
Norra, S.; Song, J.; Gebhardt, R.; Bauer, J.; Broß, M.; Fuchs, M.; Huber, T.; Mack, D.; Saathoff, H. (2023). Spatio-temporal dynamics of aerosol distribution in an urban environment recorded in situ by means of a bike based monitoring system. Frontiers in Environmental Science, 11, Art.-Nr.: 749477. doi:10.3389/fenvs.2023.749477
Popp, M. R.; Kalwij, J. M. (2023). Consumer-grade UAV imagery facilitates semantic segmentation of species-rich savanna tree layers. Scientific Reports, 13, Art.-Nr.: 13892. doi:10.1038/s41598-023-40989-7
Puglielli, G.; Tordoni, E.; Laanisto, L.; Kalwij, J. M.; Hutchings, M. J.; Humphreys, A. M. (2023). Abiotic stress tolerance can explain range size and filling in temperate woody plants. Perspectives in Plant Ecology, Evolution and Systematics, 59, Art.-Nr.: 125734. doi:10.1016/j.ppees.2023.125734
Schäfer, J.; Weiser, H.; Winiwarter, L.; Höfle, B.; Schmidtlein, S.; Fassnacht, F. E. (2023). Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator. Forestry: An International Journal of Forest Research, 96 (5), 653–671. doi:10.1093/forestry/cpad006
Schiefer, F.; Schmidtlein, S.; Frick, A.; Frey, J.; Klinke, R.; Zielewska-Büttner, K.; Junttila, S.; Uhl, A.; Kattenborn, T. (2023). UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series. ISPRS Open Journal of Photogrammetry and Remote Sensing, 8, Art.-Nr.: 100034. doi:10.1016/j.ophoto.2023.100034
Schwarz, S.; Werner, C.; Fassnacht, F. E.; Ruehr, N. K. (2023). Forest canopy mortality during the 2018-2020 summer drought years in Central Europe: The application of a deep learning approach on aerial images across Luxembourg. Forestry: An International Journal of Forest Research, 2023, Art.-Nr.: cpad049. doi:10.1093/forestry/cpad049
Shafeian, E.; Fassnacht, F. E.; Latifi, H. (2023). Detecting semi-arid forest decline using time series of Landsat data. European Journal of Remote Sensing, 56 (1), Art.-Nr. 2260549. doi:10.1080/22797254.2023.2260549
2022
Chakraborty, T.; Reif, A.; Matzarakis, A.; Helle, G.; Faßnacht, F.; Saha, S. (2022). Carbon and oxygen dual-isotopes indicate alternative physiological mechanisms opted by European beech trees to survive drought stress. Scandinavian journal of forest research, 37 (5-8), 295–313. doi:10.1080/02827581.2022.2155236
Fassnacht, F. E.; Müllerová, J.; Conti, L.; Malavasi, M.; Schmidtlein, S. (2022). About the link between biodiversity and spectral variation. Applied vegetation science, 25 (1), e12643. doi:10.1111/avsc.12643
Jiang, F.; Song, J.; Bauer, J.; Gao, L.; Vallon, M.; Gebhardt, R.; Leisner, T.; Norra, S.; Saathoff, H. (2022). Chromophores and chemical composition of brown carbon characterized at an urban kerbside by excitation–emission spectroscopy and mass spectrometry. Atmospheric Chemistry and Physics, 22 (22), 14971–14986. doi:10.5194/acp-22-14971-2022
Kattenborn, T.; Schiefer, F.; Frey, J.; Feilhauer, H.; Mahecha, M. D.; Dormann, C. F. (2022). Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks. ISPRS Open Journal of Photogrammetry and Remote Sensing, 5, Art.-Nr.: 100018. doi:10.1016/j.ophoto.2022.100018
Labenski, P.; Ewald, M.; Schmidtlein, S.; Fassnacht, F. E. (2022). Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning. International journal of applied earth observation and geoinformation, 109, Article no: 102799. doi:10.1016/j.jag.2022.102799
Maeda, E. E.; Nunes, M. H.; Calders, K.; Moura, Y. M. de; Raumonen, P.; Tuomisto, H.; Verley, P.; Vincent, G.; Zuquim, G.; Camargo, J. L. (2022). Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning. Remote Sensing of Environment, 271, Art.-Nr.: 112895. doi:10.1016/j.rse.2022.112895
Mairal, M.; Chown, S. L.; Shaw, J.; Chala, D.; Chau, J. H.; Hui, C.; Kalwij, J. M.; Münzbergová, Z.; Jansen van Vuuren, B.; Le Roux, J. J. (2022). Human activity strongly influences genetic dynamics of the most widespread invasive plant in the sub-Antarctic. Molecular Ecology, 31 (6), 1649–1665. doi:10.1111/mec.16045
Rocchini, D.; Feilhauer, H.; Müllerová, J.; Schmidtlein, S. (2022). Remote sensing for vegetation science: A virtual special issue on its power and challenges. Applied Vegetation Science, 25 (3), Art.Nr. e12677. doi:10.1111/avsc.12677
Rocchini, D.; Santos, M. J.; Ustin, S. L.; Féret, J.-B.; Asner, G. P.; Beierkuhnlein, C.; Dalponte, M.; Feilhauer, H.; Foody, G. M.; Schmidtlein, S.; u. a. (2022). The Spectral Species Concept in Living Color. Journal of Geophysical Research: Biogeosciences, 127 (9), e2022JG007026. doi:10.1029/2022JG007026
Song, J.; Saathoff, H.; Gao, L.; Gebhardt, R.; Jiang, F.; Vallon, M.; Bauer, J.; Norra, S.; Leisner, T. (2022). Variations of PM2.5 sources in the context of meteorology and seasonality at an urban street canyon in Southwest Germany. Atmospheric Environment, 282, Art.-Nr.: 119147. doi:10.1016/j.atmosenv.2022.119147
Tröger, D.; Christian Braun, A.; Eichel, J.; Schmidtlein, S.; Sandoval Estrada, M.; Valdés Durán, A. (2022). Pinus plantations impact hillslope stability and decrease landscape resilience by changing biogeomorphic feedbacks in Chile. CATENA, 216, Art.-Nr.: 106364. doi:10.1016/j.catena.2022.106364
Weiser, H.; Schäfer, J.; Winiwarter, L.; Krašovec, N.; Fassnacht, F. E.; Höfle, B. (2022). Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests. Earth System Science Data, 14 (7), 2989–3012. doi:10.5194/essd-14-2989-2022
2021
Braun, A. C.; Faßnacht, F.; Valencia, D.; Sepulveda, M. (2021). Consequences of land-use change and the wildfire disaster of 2017 for the central Chilean biodiversity hotspot. Regional Environmental Change, 21 (2), Art.-Nr.: 37. doi:10.1007/s10113-021-01756-4
Fassnacht, F. E.; Poblete-Olivares, J.; Rivero, L.; Lopatin, J.; Ceballos-Comisso, A.; Galleguillos, M. (2021). Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types. International journal of applied earth observation and geoinformation, 94, Art.-Nr.: 102236. doi:10.1016/j.jag.2020.102236
Fassnacht, F. E.; Schmidt-Riese, E.; Kattenborn, T.; Hernández, J. (2021). Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective. International journal of applied earth observation and geoinformation, 95, Article no: 102262. doi:10.1016/j.jag.2020.102262
Feilhauer, H.; Zlinszky, A.; Kania, A.; Foody, G. M.; Doktor, D.; Lausch, A.; Schmidtlein, S. (2021). Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation. (K. He & M. Disney, Hrsg.) Remote sensing in ecology and conservation, 7 (2), 292–305. doi:10.1002/rse2.188
Ferner, J.; Linstädter, A.; Rogass, C.; Südekum, K.-H.; Schmidtlein, S. (2021). Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral?. European Journal of Remote Sensing, 54 (1), 364–384. doi:10.1080/22797254.2021.1934556
Gafna, D. J.; Obando, J. A.; Reichelt, M.; Schmidtlein, S.; Dolos, K. (2021). Medicinal service supply by wild plants in Samburu, Kenya: Comparisons among medicinal plant assemblages. Global Ecology and Conservation, 30, e01749. doi:10.1016/j.gecco.2021.e01749
Gränzig, T.; Fassnacht, F. E.; Kleinschmit, B.; Förster, M. (2021). Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach. International journal of applied earth observation and geoinformation, 96, Art. Nr.: 102281. doi:10.1016/j.jag.2020.102281
Hosseini, Z.; Latifi, H.; Naghavi, H.; Bakhtiarvand Bakhtiari, S.; Fassnacht, F. E. (2021). Influence of plot and sample sizes on aboveground biomass estimations in plantation forests using very high resolution stereo satellite imagery. Forestry, 94 (2), 278–291. doi:10.1093/forestry/cpaa028
Kattenborn, T.; Leitloff, J.; Schiefer, F.; Hinz, S. (2021). Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. ISPRS journal of photogrammetry and remote sensing, 173, 24–49. doi:10.1016/j.isprsjprs.2020.12.010
Li, L.; Fassnacht, F. E.; Bürgi, M. (2021). Using a landscape ecological perspective to analyze regime shifts in social–ecological systems: a case study on grassland degradation of the Tibetan Plateau. Landscape ecology, 36, 2277–2293. doi:10.1007/s10980-021-01191-0
Modzelewska, A.; Kamińska, A.; Fassnacht, F. E.; Stereńczak, K. (2021). Multitemporal hyperspectral tree species classification in the Białowieza Forest World Heritage site. Forestry, 94 (3), 464–476. doi:10.1093/forestry/cpaa048
Neff, C. (2021). Observations de la dynamique végétale sur le Volcan des Capelinhos (Île de Faial, Açores, Portugal). Finisterra, 56 (117), 107–126. doi:10.18055/Finis18523
Popp, M. R.; Kalwij, J. M. (2021). Abiotic conditions shape the relationship between indigenous and exotic species richness in a montane biodiversity hotspot. Plant Ecology, 222 (4), 421–432. doi:10.1007/s11258-021-01116-6
Schiefer, F.; Schmidtlein, S.; Kattenborn, T. (2021). The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology. Ecological indicators, 121, Art.-Nr.: 107062. doi:10.1016/j.ecolind.2020.107062
Schiller, C.; Schmidtlein, S.; Boonman, C.; Moreno-Martínez, A.; Kattenborn Teja. (2021). Deep learning and citizen science enable automated plant trait predictions from photographs. Scientific Reports, 11 (1), Art.-Nr.: 16395. doi:10.1038/s41598-021-95616-0
Shafeian, E.; Fassnacht, F. E.; Latifi, H. (2021). Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data. International Journal of Applied Earth Observation and Geoinformation, 105, Art.-Nr.: 102621. doi:10.1016/j.jag.2021.102621
Silva Junior, C. H. L.; Moura, Y. M.; Pessôa, A. C. M.; Trevisan, D. P.; Mendes, F. S.; Reis, J. B. C.; Picoli, M. C. A.; Wiederkehr, N. C.; Carvalho, N. S.; Dalagnol, R.; u. a. (2021). Surviving as a young scientist in Brazil. Science, 374 (6570), 948. doi:10.1126/science.abm8160
Turner, S. C.; Esler, K. J.; Kalwij, J. M. (2021). Road verges facilitate exotic species’ expansion into undisturbed natural montane grasslands. Applied Vegetation Science, 24 (4), e12615. doi:10.1111/avsc.12615
Weiser, H.; Winiwarter, L.; Anders, K.; Fassnacht, F. E.; Höfle, B. (2021). Opaque voxel-based tree models for virtual laser scanning in forestry applications. Remote Sensing of Environment, 265, Art.-Nr.: 112641. doi:10.1016/j.rse.2021.112641
2020
Dittrich, A.; Roilo, S.; Sonnenschein, R.; Cerrato, C.; Ewald, M.; Viterbi, R.; Cord, A. F. (2020). Modelling Distributions of Rove Beetles in Mountainous Areas Using Remote Sensing Data. Remote sensing, 12 (1), Art. Nr.: 80. doi:10.3390/rs12010080
Eichel, J.; Draebing, D.; Kattenborn, T.; Senn, J. A.; Klingbeil, L.; Wieland, M.; Heinz, E. (2020). Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties. Permafrost and periglacial processes, 31 (1), 97–109. doi:10.1002/ppp.2036
Ewald, M.; Skowronek, S.; Aerts, R.; Lenoir, J.; Feilhauer, H.; Van De Kerchove, R.; Honnay, O.; Somers, B.; Garzón-López, C. X.; Schmidtlein, S.; u. a. (2020). Assessing the impact of an invasive bryophyte on plant species richness using high resolution imaging spectroscopy. Ecological indicators, 110, Art.-Nr.: 105882. doi:10.1016/j.ecolind.2019.105882
Gastineau, R.; Conway, S. J.; Johnsson, A.; Eichel, J.; Mangold, N.; Grindrod, P. M.; Izquierdo, T. (2020). Small-scale lobate hillslope features on Mars: A comparative 3D morphological study with terrestrial solifluction lobes and zebra stripe lobes. Icarus, 342, Art. Nr.: 113606. doi:10.1016/j.icarus.2019.113606
Kattenborn, T.; Eichel, J.; Wiser, S.; Burrows, L.; Fassnacht, F. E.; Schmidtlein, S. (2020). Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. Remote sensing in ecology and conservation, 6 (4), 472–486. doi:10.1002/rse2.146
Modzelewska, A.; Fassnacht, F. E.; Stereńczak, K. (2020). Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data. International journal of applied earth observation and geoinformation, 84, Art.-Nr. 101960. doi:10.1016/j.jag.2019.101960
Nutrient Network; Kattge, J.; Bönisch, G.; Díaz, S.; Lavorel, S.; Prentice, I. C.; Leadley, P.; Schmidt, M.; Mack, M.; Kattenborn, T.; u. a. (2020). TRY plant trait database – enhanced coverage and open access. Global change biology, 26 (1), 119–188. doi:10.1111/gcb.14904
Poblete, T.; Camino, C.; Beck, P. S. A.; Hornero, A.; Kattenborn, T.; Saponari, M.; Boscia, D.; Navas-Cortes, J. A.; Zarco-Tejada, P. J. (2020). Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis. ISPRS journal of photogrammetry and remote sensing, 162, 27–40. doi:10.1016/j.isprsjprs.2020.02.010
Reyer, C. P. O.; Silveyra Gonzalez, R.; Dolos, K.; Hartig, F.; Hauf, Y.; Noack, M.; Lasch-Born, P.; Rötzer, T.; Pretzsch, H.; Meesenburg, H.; u. a. (2020). The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth system science data, 12 (2), 1295–1320. doi:10.5194/essd-12-1295-2020
Schiefer, F.; Kattenborn, T.; Frick, A.; Frey, J.; Schall, P.; Koch, B.; Schmidtlein, S. (2020). Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks. ISPRS journal of photogrammetry and remote sensing, 170, 205–215. doi:10.1016/j.isprsjprs.2020.10.015
Senn, J. A.; Fassnacht, F. E.; Eichel, J.; Seitz, S.; Schmidtlein, S. (2020). A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning. Earth surface processes and landforms, 45 (7), 1487–1498. doi:10.1002/esp.4820
Singh, P. P.; Chakraborty, T.; Dermann, A.; Dermann, F.; Adhikari, D.; Gurung, P. B.; Barik, S. K.; Bauhus, J.; Fassnacht, F. E.; Dey, D. C.; u. a. (2020). Assessing Restoration Potential of Fragmented and Degraded Fagaceae Forests in Meghalaya, North-East India. Forests, 11 (9), Art.-Nr.: 1008. doi:10.3390/F11091008
2019
Fassnacht, F. E.; Schiller, C.; Kattenborn, T.; Zhao, X.; Qu, J. (2019). A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018. Scientific data, 6 (1), Art. Nr.: 78. doi:10.1038/s41597-019-0075-9
Kalwij, J. M.; Medan, D.; Kellermann, J.; Greve, M.; Chown, S. L. (2019). Vagrant birds as a dispersal vector in transoceanic range expansion of vascular plants. Scientific reports, 9 (1), Article no: 4655. doi:10.1038/s41598-019-41081-9
Kattenborn, T.; Schiefer, F.; Zarco-Tejada, P.; Schmidtlein, S. (2019). Advantages of retrieving pigment content [μg/cm 2 ] versus concentration [%] from canopy reflectance. Remote sensing of environment, 230, Art. Nr.: 111195. doi:10.1016/j.rse.2019.05.014
Kattenborn, T.; Eichel, J.; Fassnacht, F. E. (2019). Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery. Scientific reports, 9 (1), Article no: 17656. doi:10.1038/s41598-019-53797-9
Kattenborn, T.; Fassnacht, F. E.; Schmidtlein, S. (2019). Differentiating plant functional types using reflectance: which traits make the difference?. Remote sensing in ecology and conservation, 5 (1), 5–19. doi:10.1002/rse2.86
Kattenborn, T.; Lopatin, J.; Förster, M.; Braun, A. C.; Fassnacht, F. E. (2019). UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data. Remote sensing of environment, 227, 61–73. doi:10.1016/j.rse.2019.03.025
Kattenborn, T.; Schmidtlein, S. (2019). Radiative transfer modelling reveals why canopy reflectance follows function. Scientific reports, 9 (1), Article: 6541. doi:10.1038/s41598-019-43011-1
Lopatin, J.; Dolos, K.; Kattenborn, T.; Fassnacht, F. E. (2019). How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing. Remote sensing in ecology and conservation, 5 (4), 302–317. doi:10.1002/rse2.109
Lopatin, J.; Kattenborn, T.; Galleguillos, M.; Perez-Quezada, J. F.; Schmidtlein, S. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote sensing of environment, 231, 111217. doi:10.1016/j.rse.2019.111217
Stereńczak, K.; Mielcarek, M.; Modzelewska, A.; Kraszewski, B.; Fassnacht, F. E.; Hilszczański, J. (2019). Intra-annual Ips typographus outbreak monitoring using a multi-temporal GIS analysis based on hyperspectral and ALS data in the Białowieża Forests. Forest ecology and management, 442, 105–116. doi:10.1016/j.foreco.2019.03.064
Wagner, A.; Hilgert, S.; Kattenborn, T.; Fuchs, S. (2019). Proximal VIS-NIR spectrometry to retrieve substance concentrations in surface waters using partial least squares modelling. Water science & technology / Water supply, 19 (4), 1204–1211. doi:10.2166/ws.2018.177
Zarco-Tejada, P. J.; Hornero, A.; Beck, P. S. A.; Kattenborn, T.; Kempeneers, P.; Hernández-Clemente, R. (2019). Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline. Remote sensing of environment, 223, 320–335. doi:10.1016/j.rse.2019.01.031
2018
Araya-López, R. A.; Lopatin, J.; Fassnacht, F. E.; Hernández, H. J. (2018). Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery. ISPRS journal of photogrammetry and remote sensing, 145, 213–224. doi:10.1016/j.isprsjprs.2018.04.001
Draebing, D.; Eichel, J. (2018). Divergence, convergence, and path dependency of paraglacial adjustment of alpine lateral moraine slopes. Land degradation & development, 29 (6), 1979–1990. doi:10.1002/ldr.2983
Eichel, J. (2018). Links between life and landscapes. Nature geoscience, 11 (3), 154. doi:10.1038/s41561-018-0076-x
Eichel, J.; Draebing, D.; Meyer, N. (2018). From active to stable: Paraglacial transition of Alpine lateral moraine slopes. Land degradation & development, 29 (11), 4158–4172. doi:10.1002/ldr.3140
Ewald, M.; Aerts, R.; Lenoir, J.; Fassnacht, F. E.; Nicolas, M.; Skowronek, S.; Piat, J.; Honnay, O.; Garzón-López, C. X.; Schmidtlein, S.; u. a. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote sensing of environment, 211, 13–25. doi:10.1016/j.rse.2018.03.038
Ewald, M.; Skowronek, S.; Aerts, R.; Dolos, K.; Lenoir, J.; Nicolas, M.; Warrie, J.; Hattab, T.; Feilhauer, H.; Schmidtlein, S.; u. a. (2018). Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales. Biological invasions, 20 (8), 2257–2271. doi:10.1007/s10530-018-1700-9
Faßnacht, F. E.; Latifi, H.; Hartig, F. (2018). Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR. Remote sensing of environment, 213, 115–128. doi:10.1016/j.rse.2018.05.007
Ferner, J.; Schmidtlein, S.; Guuroh, R. T.; Lopatin, J.; Linstädter, A. (2018). Disentangling effects of climate and land-use change on West African drylands’ forage supply. Global environmental change, 53, 24–38. doi:10.1016/j.gloenvcha.2018.08.007
Gazdic, M.; Reif, A.; Knezevic, M.; Petrovic, D.; Stojanovic, M.; Dolos, K. (2018). Diversity and ecological differentiation of mixed forest in northern Montenegro (Mt. Bjelasica) with reference to European classification. Tuexenia, (38), 135–154. doi:10.14471/2018.38.024
Guuroh, R. T.; Ruppert, J. C.; Ferner, J.; Canak, K.; Schmidtlein, S.; Linstaedter, A. (2018). Drivers of forage provision and erosion control in West African savannas : A macroecological perspective. Agriculture, ecosystems & environment, 251, 257–267. doi:10.1016/j.agee.2017.09.017
Piiroinen, R.; Fassnacht, F. E.; Heiskanen, J.; Maeda, E.; Mack, B.; Pellikka, P. (2018). Invasive tree species detection in the Eastern Arc Mountains biodiversity hotspot using one class classification. Remote sensing of environment, 218, 119–131. doi:10.1016/j.rse.2018.09.018
Rocchini, D.; Bacaro, G.; Chirici, G.; Da Re, D.; Feilhauer, H.; Foody, G. M.; Galluzzi, M.; Garzon-Lopez, C. X.; Gillespie, T. W.; Schmidtlein, S.; u. a. (2018). Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study. Ecological indicators, 85, 983–990. doi:10.1016/j.ecolind.2017.09.055
Rocchini, D.; Luque, S.; Pettorelli, N.; Bastin, L.; Doktor, D.; Faedi, N.; Feilhauer, H.; Féret, J.-B.; Foody, G. M.; Schmidtlein, S.; u. a. (2018). Measuring β-diversity by remote sensing: A challenge for biodiversity monitoring. (F. Parrini, Hrsg.) Methods in ecology and evolution, 9 (8), 1787–1798. doi:10.1111/2041-210X.12941
Skowronek, S.; Van De Kerchove, R.; Rombouts, B.; Aerts, R.; Ewald, M.; Warrie, J.; Schiefer, F.; Garzon-Lopez, C.; Hattab, T.; Schmidtlein, S.; u. a. (2018). Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data. International journal of applied earth observation and geoinformation, 68, 61–72. doi:10.1016/j.jag.2018.02.001
Teltscher, K.; Fassnacht, F. E. (2018). Using multispectral landsat and sentinel-2 satellite data to investigate vegetation change at Mount St. Helens since the great volcanic eruption in 1980. Journal of mountain science, 15 (9), 1851–1867. doi:10.1007/s11629-018-4869-6
Zarco-Tejada, P. J.; Camino, C.; Beck, P. S. A.; Calderon, R.; Hornero, A.; Hernández-Clemente, R.; Kattenborn, T.; Montes-Borrego, M.; Susca, L.; Morelli, M.; u. a. (2018). Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature plants, 4 (7), 432–439. doi:10.1038/s41477-018-0189-7
2017
Aerts, R.; Ewald, M.; Nicolas, M.; Piat, J.; Skowronek, S.; Lenoir, J.; Hattab, T.; Garzón-López, C. X.; Feilhauer, H.; Schmidtlein, S.; u. a. (2017). Invasion by the Alien Tree Prunus serotina Alters Ecosystem Functions in a Temperate Deciduous Forest. Frontiers in plant science, 8, Art. Nr. 179. doi:10.3389/fpls.2017.00179
Baur, P. A.; Egger, G.; Lautsch, E.; Schmidtlein, S. (2017). Ecology and development of Typha minima illustrated by a re-introduced population at the Upper Drava River (Austria) [Ökologie und Entwicklung des Zwerg-Rohrkolbens (Typha minima) dargestellt am Beispiel der wieder eingebürgerten Population an der Oberen Drau (Österreich)]. Tuexenia, 37 (1), 163–177. doi:10.14471/2017.37.003
Boehnke, D.; Gebhardt, R.; Petney, T.; Norra, S. (2017). On the complexity of measuring forests microclimate and interpreting its relevance in habitat ecology : The example of
Castillo-Riffart, I.; Galleguillos, M.; Lopatin, J.; Perez-Quezada, J. F. (2017). Predicting Vascular Plant Diversity in Anthropogenic Peatlands : Comparison of Modeling Methods with Free Satellite Data. Remote sensing, 9 (7), Art. Nr. 681. doi:10.3390/rs9070681
Delgado-Aguilar, M. J.; Fassnacht, F. E.; Peralvo, M.; Gross, C. P.; Schmitt, C. B. (2017). Potential of TerraSAR-X and Sentinel 1 imagery to map deforested areas and derive degradation status in complex rain forests of Ecuador. The international forestry review, 19 (1), 102–118. doi:10.1505/146554817820888636
Eichel, J.; Draebing, D.; Klingbeil, L.; Wieland, M.; Eling, C.; Schmidtlein, S.; Kuhlmann, H.; Dikau, R. (2017). Solifluction meets vegetation : The role of biogeomorphic feedbacks for turf-banked solifluction lobe development. Earth surface processes and landforms, 42 (11), 1623–1635. doi:10.1002/esp.4102
Fassnacht, F. E.; Mangold, D.; Schäfer, J.; Immitzer, M.; Kattenborn, T.; Koch, B.; Latifi, H. (2017). Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?. Forestry, 90 (5), 613–631. doi:10.1093/forestry/cpx014
Gafna, D. J.; Dolos, K.; O Mahiri, I.; Mahiri, J. G.; Obando, J. A. (2017). Diversity of medicinal plants and anthropogenic threats in the Samburu Central Sub-County of Kenya. African journal of traditional, complementary and alternative medicines, 14 (5), 72–79. doi:10.21010/ajtcam.v14i5.10
Hattab, T.; Garzón-López, C. X.; Ewald, M.; Skowronek, S.; Aerts, R.; Horen, H.; Brasseur, B.; Gallet-Moron, E.; Spicher, F.; Schmidtlein, S.; u. a. (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity & distributions, 23 (7), 806–819. doi:10.1111/ddi.12566
Kattenborn, T.; Fassnacht, F. E.; Pierce, S.; Lopatin, J.; Grime, J. P.; Schmidtlein, S. (2017). Linking plant strategies and plant traits derived by radiative transfer modelling. Journal of vegetation science, 28 (4), 717–727. doi:10.1111/jvs.12525
Li, L.; Fassnacht, F. E.; Storch, I.; Bürgi, M. (2017). Land-use regime shift triggered the recent degradation of alpine pastures in Nyanpo Yutse of the eastern Qinghai-Tibetan Plateau. Landscape ecology, 32 (11), 2187–2203. doi:10.1007/s10980-017-0510-2
Lopatin, J.; Faßnacht, F. E.; Kattenborn, T.; Schmidtlein, S. (2017). Mapping plant species in mixed grassland communities using close range imaging spectroscopy. Remote sensing of environment, 201, 12–23. doi:10.1016/j.rse.2017.08.031
Märkel, U.; Dolos, K. (2017). Tree species site suitability as a combination of occurrence probability and growth and derivation of priority regions for climate change adaptation. Forests, 8 (6), 181. doi:10.3390/f8060181
Schmidt, J.; Fassnacht, F. E.; Förster, M.; Schmidtlein, S. (2017). Synergetic use of Sentinel-1 and Sentinel-2 for assessments of heathland conservation status. Remote sensing in ecology and conservation, 4 (3), 225–239. doi:10.1002/rse2.68
Schmidt, J.; Fassnacht, F. E.; Lausch, A.; Schmidtlein, S. (2017). Assessing the functional signature of heathland landscapes via hyperspectral remote sensing. Ecological indicators, 73, 505–512. doi:10.1016/j.ecolind.2016.10.017
Schmidt, J.; Fassnacht, F. E.; Neff, C.; Lausch, A.; Kleinschmit, B.; Förster, M.; Schmidtlein, S. (2017). Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status. International journal of applied earth observation and geoinformation, 60, 61–71. doi:10.1016/j.jag.2017.04.005
Schmidtlein, S.; Fassnacht, F. E. (2017). The spectral variability hypothesis does not hold across landscapes. Remote sensing of environment, 192, 114–125. doi:10.1016/j.rse.2017.01.036
Skowronek, S.; Ewald, M.; Isermann, M.; Kerchove, R. van de; Lenoir, J.; Aerts, R.; Warrie, J.; Hattab, T.; Honnay, O.; Schmidtlein, S.; u. a. (2017). Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biological invasions, 19 (1), 239–254. doi:10.1007/s10530-016-1276-1
Stavros, E. N.; Schimel, D.; Pavlick, R.; Serbin, S.; Swann, A.; Duncanson, L.; Fisher, J. B.; Fassnacht, F.; Ustin, S.; Dubayah, R.; u. a. (2017). ISS observations offer insights into plant function. Nature ecology & evolution, 1 (7), Art.Nr.: 0194. doi:10.1038/s41559-017-0194
Stenzel, S.; Fassnacht, F. E.; Mack, B.; Schmidtlein, S. (2017). Identification of high nature value grassland with remote sensing and minimal field data. Ecological indicators, 74, 28–38. doi:10.1016/j.ecolind.2016.11.005
2016
Dolos, K.; Mette, T.; Wellstein, C. (2016). Silvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories. Forest Ecology and Management, 373, 128–137. doi:10.1016/j.foreco.2016.04.018
Dupke, C.; Bonenfant, C.; Reineking, B.; Hable, R.; Zeppenfeld, T.; Ewald, M.; Heurich, M. (2016). Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources. Ecography, 40 (8), 1014–1027. doi:10.1111/ecog.02152
Fassnacht, F. E.; Latifi, H.; Stereńczak, K.; Modzelewska, A.; Lefsky, M.; Waser, L. T.; Straub, C.; Ghosh, A. (2016). Review of studies on tree species classification from remotely sensed data. Remote sensing of environment, 186, 64–87. doi:10.1016/j.rse.2016.08.013
Feilhauer, H.; Doktor, D.; Schmidtlein, S.; Skidmore, A. K. (2016). Mapping pollination types with remote sensing. Journal of vegetation science, 27 (5), 999–1011. doi:10.1111/jvs.12421
Lausch, A.; Bannehr, L.; Beckmann, M.; Boehm, C.; Feilhauer, H.; Hacker, J. M.; Heurichr, M.; Jung, A.; Klenke, R.; Schmidtlein, S.; u. a. (2016). Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecological indicators, 70 (SI), 317–339. doi:10.1016/j.ecolind.2016.06.022
Lopatin, J.; Dolos, K.; Hernández, H. J.; Galleguillos, M.; Fassnacht, F. E. (2016). Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote sensing of environment, 173, 200–210. doi:10.1016/j.rse.2015.11.029
Mack, B.; Roscher, R.; Stenzel, S.; Feilhauer, H.; Schmidtlein, S.; Waske, B. (2016). Mapping raised bogs with an iterative one-class classification approach. ISPRS journal of photogrammetry and remote sensing, 120, 53–64. doi:10.1016/j.isprsjprs.2016.07.008
Maringer, J.; Ascoli, D.; Kueffer, N.; Schmidtlein, S.; Conedera, M. (2016). What drives European beech (Fagus sylvatica L.) mortality after forest fires of varying severity?. Forest ecology and management, 368, 81–93. doi:10.1016/j.foreco.2016.03.008
Neumann, C.; Itzerott, S.; Weiss, G.; Kleinschmit, B.; Schmidtlein, S. (2016). Mapping multiple plant species abundance patterns : A multiobjective optimization procedure for combining reflectance spectroscopy and species ordination. Ecological informatics, 36, 61–76. doi:10.1016/j.ecoinf.2016.10.002
2015
Baur, P. A.; Egger, G.; Lautsch, E.; Schmidtlein, S. (2015). Artenschutzprojekt Zwerg-Rohrkolben (Typha minima Funck ex Hoppe): Die Wiederansiedlung im Europaschutzgebiet Obere Drau in Kärnten (Österreich). Carinthia / 2, 125 (205), 503–536.
Boehnke, D.; Brugger, K.; Pfäffle, M.; Sebastian, P.; Norra, S.; Petney, T.; Oehme, R.; Littwin, N.; Lebl, K.; Gebhardt, R.; u. a. (2015). Estimating Ixodes ricinus densities on the landscape scale. International journal of health geographics, 14 (1), 23 S. doi:10.1186/s12942-015-0015-7
De Caceres, M.; Chytry, M.; Agrillo, E.; Attorre, F.; Botta-Dukat, Z.; Capelo, J.; Czucz, B.; Dengler, J.; Ewald, J.; Schmidtlein, S.; u. a. (2015). A comparative framework for broad-scale plot-based vegetation classification. Applied vegetation science, 18 (4), 543–560. doi:10.1111/avsc.12179
Dolos, K.; Bauer, A.; Albrecht, S. (2015). Site suitability for tree species: Is there a positive relation between a tree species’ occurrence and its growth?. European journal of forest research, 134 (4), 609–621. doi:10.1007/s10342-015-0876-0
Fassnacht, F. E.; Li, L.; Fritz, A. (2015). Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?. International journal of applied earth observation and geoinformation, 42, 115–127. doi:10.1016/j.jag.2015.06.005
Fassnacht, F. E.; Stenzel, S.; Gitelson, A. A. (2015). Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices. Journal of Plant Physiology, 176, 210–217. doi:10.1016/j.jplph.2014.11.003
Kattenborn, T.; Maack, J.; Faßnacht, F.; Enßle, F.; Ermert, J.; Koch, B. (2015). Mapping forest biomass from space - Fusion of hyperspectralEO1-hyperion data and Tandem-X and WorldView-2 canopy heightmodels. International Journal of Applied Earth Observation and Geoinformation, 35 (PB), 359–367. doi:10.1016/j.jag.2014.10.008
Latifi, H.; Fassnacht, F. E.; Hartig, F.; Berger, C.; Hernandez, J.; Corvalan, P.; Koch, B. (2015). Stratified aboveground forest biomass estimation by remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 38 (PB), 229–241. doi:10.1016/j.jag.2015.01.016
Latifi, H.; Fassnacht, F. E.; Müller, J.; Tharani, A.; Dech, S.; Heurich, M. (2015). Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. International journal of applied earth observation and geoinformation, 42, 162–174. doi:10.1016/j.jag.2015.06.008
Lopatin, J.; Galleguillos, M.; Fassnacht, F. E.; Ceballos, A.; Hernández, J. (2015). Using a multistructural object-based LiDAR approach to estimate vascular plant richness in mediterranean forests with complex structure. IEEE geoscience and remote sensing letters, 12 (5), 1008–1012. doi:10.1109/LGRS.2014.2372875
Maack, J.; Kattenborn, T.; Fassnacht, F. E.; Enssle, F.; Hernandez, J.; Corvalan, P.; Koch, B. (2015). Modeling forest biomass using very-high-resolution data - combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images. European journal of remote sensing, 48, 245–261. doi:10.5721/EuJRS20154814
Neumann, C.; Weiss, G.; Schmidtlein, S.; Itzerott, S.; Lausch, A.; Doktor, D.; Brell, M. (2015). Gradient-based assessment of habitat quality for spectral ecosystem monitoring. Remote sensing, 7 (3), 2871–2898. doi:10.3390/rs70302871
Schleicher, N. J.; Schäfer, J.; Chen, Y.; Blanc, G.; Chen, Y.; Chai, F.; Cen, K.; Norra, S. (2015). Atmospheric particulate mercury in the megacity Beijing: Efficiency of mitigation measures and assessment of health effects. Atmospheric Environment, 124 (Pt. B), 396–403. doi:10.1016/j.atmosenv.2015.09.040
2014
Bae, S.; Reineking, B.; Ewald, M.; Mueller, J. (2014). Comparison of airborne lidar, aerial photography, and field surveys to model the habitat suitability of a cryptic forest species – the hazel grouse. International Journal of Remote Sensing, 35 (17), 6469–6489. doi:10.1080/01431161.2014.955145
Fassnacht, F. E.; Hartig, F.; Latifi, H.; Berger, C.; Hernandez, J.; Corvalan, P.; Koch, B. (2014). Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. Remote Sensing of Environment, 154 (1), 102–114. doi:10.1016/j.rse.2014.07.028
Fassnacht, F. E.; Neumann, C.; Forster, M.; Buddenbaum, H.; Ghosh, A.; Clasen, A.; Joshi, P. K.; Koch, B. (2014). Comparison of feature reduction algorithms for classifying tree species with hyperspectral data on three central european test sites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (6), 2547–2561. doi:10.1109/JSTARS.2014.2329390
Feilhauer, H.; Dahlke, C.; Doktor, D.; Lausch, A.; Schmidtlein, S.; Schulz, G.; Stenzel, S. (2014). Mapping the local variability of Natura 2000 habitats with remote sensing. Applied Vegetation Science, 17 (4), 765–779. doi:10.1111/avsc.12115
Hein, N.; Feilhauer, H.; Finch, O.-D.; Schmidtlein, S.; Löffler, J. (2014). Snow cover determines the ecology and biogeography of spiders (araneae) in alpine tundra ecosystems. Erdkunde, 68 (3), 157–172. doi:10.3112/erdkunde.2014.03.01
Latifi, H.; Fassnacht, F. E.; Schumann, B.; Dech, S. (2014). Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery. Progress in physical geography, 38 (6), 755–785. doi:10.1177/0309133314550670
Mack, B.; Roscher, R.; Waske, B. (2014). Can I trust my one-class classification?. Remote Sensing, 6 (9), 8779–8802. doi:10.3390/rs6098779
Mockel, T.; Dalmayne, J.; Prentice, H. C.; Eklundh, L.; Purschke, O.; Schmidtlein, S.; Hall, K. (2014). Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery. Remote sensing, 6 (8), 7732–7761. doi:10.3390/rs6087732
Reu, B.; Zaehle, S.; Bohn, K.; Pavlick, R.; Schmidtlein, S.; Williams, J. W.; Kleidon, A. (2014). Future no-analogue vegetation produced by no-analogue combinations of temperature and insolation. Global Ecology and Biogeography, 23 (2), 156–167. doi:10.1111/geb.12110
Sebastian, P.; Mackenstedt, U.; Wassermann, M.; Wurst, E.; Hartelt, K.; Petney, T.; Pfäffle, M.; Littwin, N.; Steidle, J. L. M.; Gebhardt, R.; u. a. (2014). Ökologie von Zecken als Überträger von Krankheitserregern in Baden-Württemberg und biologische Zeckenbekämpfung. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 57, 549–556. doi:10.1007/s00103-013-1929-5
Stenzel, S.; Feilhauer, H.; Mack, B.; Metz, A.; Schmidtlein, S. (2014). Remote sensing of scattered natura 2000 habitats using a one-class classifier. International Journal of Applied Earth Observation and Geoinformation, 33 (1), 211–217. doi:10.1016/j.jag.2014.05.012
2013
Eichel, J.; Krautblatter, M.; Schmidtlein, S.; Dikau, R. (2013). Biogeomorphic interactions in the Turtmann glacier forefield, Switzerland. Geomorphology, 201, 98–110. doi:10.1016/j.geomorph.2013.06.012
Mette, T.; Dolos, K.; Meinardus, C.; Bräuning, A.; Reineking, B.; Blaschke, M.; Pretzsch, H.; Beierkuhnlein, C.; Gohlke, A.; Wellstein, C. (2013). Climatic turning point for beech and oak under climate change in Central Europe. Ecosphere, 4 (12), Article no: 145. doi:10.1890/ES13-00115.1
Rocchini, D.; Delucchi, L.; Bacaro, G.; Cavallini, P.; Feilhauer, H.; Foody, G. M.; He, K. S.; Nagendra, H.; Porta, C.; Schmidtlein, S.; u. a. (2013). Calculating landscape diversity with information-theory based indices: A GRASS GIS solution. Ecological Informatics, 17, 82–93. doi:10.1016/j.ecoinf.2012.04.002
Schmidtlein, S.; Faude, U.; Rössler, O.; Feilhauer, H.; Ewald, J.; Meyn, A.; Schmidt, J. (2013). Differences between recent and historical records of upper species limits in the northern European Alps. Erdkunde, 67 (4), 345–354. doi:10.3112/erdkunde.2013.04.04
2023
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Herrmann, M.; Fassnacht, F.; Egger, G. (2023). Satellitenbasierte Indikatoren zur Bestimmung des Einflusses des Überflutungsregimes auf die Ufer- und Auenvegetation. Auenmagazin, 23, Art.-Nr.: 60–60.
2022
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Neff, C. (2022). Drohen uns Waldbrände, die Pfälzer Siedlungen verschlingen? [Wir brauchen Löschhubschrauber]. Die Rheinpfalz, 2022.
2017
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Neff, C.; Himmelheber, M. (2017). Schramberger Auswärts Wissenschaftler Christophe Neff Feuer und Flamme für Waldbrände. Der Stadtwerker, Kundenzeitschrift der Stadtwerke Schramberg, 6–7.
2014
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Stenzel, S.; Schmidtlein, S. (2014). Multisaisonale Datenreihen in der FFH-Kartierung - Ergebnisse des Verbundprojekts MSAVE. BfN-Skripten, 388, 36–45.
2024
Schäfer, J. S. (2024, September 16). Using Synthetic Datasets to predict Forest Aboveground Biomass from Airborne Laser Scanning Data. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000174131
Schiefer, F. (2024, August 15). Deep Learning and Remote Sensing for Detecting Tree Mortality Patterns. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000173335
Shafeian, E. (2024, Januar 15). Multi-scale remote sensing methods for an improved understanding of forest decline in the Zagros Forest area. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000167177
2023
Gafna, D. J. (2023, November 21). Medicinal Plant Distribution and Supply: Conservation Issues and Implications. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162863
Neff, C. (2023). Der Schramm, der Bahnhof und der Krieg. Aus dem Grau der Kriegszeit : Geschichten hinter der Geschichte. Spuren lebendig gemacht. Hrsg.: C. Scheck. Band 3, 252–259, Bad Saulgau.
2022
Lorenz, C.; Bresinsky, M.; Schröder, J.; Hausschmid, S.; Neff, C. (2022). Vegetationsbrände Bayern : Projektbericht. doi:10.5445/IR/1000150496
Neff, C. (2022). Overview of more than twenty years of my geobotanical and geographical field research on Faial (Azores) - history, results and outlook. Abstract book of the International Symposium FloraMac2022, San Sebastián de La Gomera, E, September 12-16, 2022. Ed.: M. Sansón, Instituto de Productos Naturales y Agrobiología.
2020
Ewald, M. W. (2020, März 4). Remote Sensing of the Ecosystem Impact of Invasive Alien Plant Species. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105944
Neff, C. (2020). Persönliche Überlegungen eines Geographen mit deutsch-französischer Biographie zur COVID-19 Situation im Frühjahr/Frühsommer 2020. COVID-19 als Zäsur? Geographische Perspektiven auf Räume, Gesellschaften und Technologien in der Pandemie - Extended Abstracts. Online-Symposium, 6.7. – 8.7.2020.
2019
Kattenborn, T. (2019). Linking Canopy Reflectance and Plant Functioning through Radiative Transfer Models. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000089168
2018
Kattenborn, T.; Hernández, J.; Lopatin, J.; Kattenborn, G.; Fassnacht, F. E. (2018). Pilot study on the retrieval of DBH and diameter distribution of deciduous forest stands using cast shadows in UAV-based orthomosaics. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018. Ed.: S. Hinz, 93–99, Curran. doi:10.5194/isprs-annals-IV-1-93-2018
Neff, C. (2018). Incendies de forêts, changements climatiques, paysages et révolutions - une vue virtuelle sur une Tunisie qui change. II ème symposium international sur le thème : Territoires, Changements Globaux et developpement durable. Hammamet du lundi 12 au samedi 17 novembre 2018. Les Résumés. Hammamet 2018. Ed.: H. B. Boubaker, 11.
Neff, C. (2018). Un premier aperçu de l’histoire de la description géographique, naturaliste et botanique des Açores : De Michel Adanson à la « « História Natural dos Açores ». FloraMac 2018, Funchal, Madeira, 12-15 September, 2018: Abstract Book, Scientific Programm, Excursion Guide, Funchal. Ed.: M. Menezes de Sequeira, 35.
2017
Forster, M.; Schmidt, T.; Wolf, R.; Kleinschmit, B.; Fassnacht, F. E.; Cabezas, J.; Kattenborn, T. (2017). Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series. 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017; Bruges; Belgium; 27 June 2017 through 29 June 2017, Art. Nr.: 8035216, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Multi-Temp.2017.8035216
Schmidt, J. M. (2017). Remote sensing in support of conservation and management of heathland vegetation. Dissertation. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000076143
2016
Dolos, K.; Märkel, U. (2016). Modellierung der klimatischen Standorteignung forstlich relevanter Baumarten. LUBW Landesanstalt für Umwelt.
2014
Schmidtlein, S.; Faude, U.; Stenzel, S.; Feilhauer, H. (2014). Remote Sensing of Vegetation for Nature Conservation. Land Use and Land Cover Mapping in Europe - Practices & Trends. Ed.: I. Manakos, 203–215, Springer-Verlag. doi:10.1007/978-94-007-7969-3_13