Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Hannes Feilhauer"'
Autor:
Teja Kattenborn, Sebastian Wieneke, David Montero, Miguel D. Mahecha, Ronny Richter, Claudia Guimarães-Steinicke, Christian Wirth, Olga Ferlian, Hannes Feilhauer, Lena Sachsenmaier, Nico Eisenhauer, Benjamin Dechant
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Earth observation data is key for monitoring vegetation dynamics across temporal and spatial scales. The most widely used method to estimate vegetation properties from Earth observation data is vegetation indices. However, temporal dynamics
Externí odkaz:
https://doaj.org/article/66f8cfebacc54e2a8c07abdd223dc691
Autor:
Nico Eisenhauer, Kevin Mueller, Anne Ebeling, Gerd Gleixner, Yuanyuan Huang, Anna-Maria Madaj, Christiane Roscher, Alexandra Weigelt, Michael Bahn, Michael Bonkowski, Ulrich Brose, Simone Cesarz, Hannes Feilhauer, Claudia Guimaraes-Steinicke, Anna Heintz-Buschart, Jes Hines, Markus Lange, Sebastian T. Meyer, Neha Mohanbabu, Liesje Mommer, Sigrid Neuhauser, Yvonne Oelmann, Soroor Rahmanian, Takehiro Sasaki, Stefan Scheu, Holger Schielzeth, Bernhard Schmid, Michael Schloter, Stefanie Schulz, Sybille B. Unsicker, Cordula Vogel, Wolfgang W. Weisser, Forest Isbell
Publikováno v:
Basic and Applied Ecology, Vol 79, Iss , Pp 153-166 (2024)
Long-term research in grassland biodiversity experiments has provided empirical evidence that ecological and evolutionary processes are intertwined in determining both biodiversity–ecosystem functioning (BEF) and biodiversity–stability relationsh
Externí odkaz:
https://doaj.org/article/bf20f3b77fd84b04b06e0932300f0ef0
Autor:
Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, Miguel D. Mahecha
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 8, Pp 1422-1437 (2024)
Abstract Phenological shifts across plant species is a powerful indicator to quantify the effects of climate change. Today, mobile applications with automated species identification open new possibilities for phenological monitoring across space and
Externí odkaz:
https://doaj.org/article/7de73b7a772e4e0c9ca08245eb6a1791
Autor:
Alexander Wellenbeck, Lutz Fehrmann, Hannes Feilhauer, Sebastian Schmidtlein, Bernhard Misof, Nils Hein
Publikováno v:
Ecology and Evolution, Vol 14, Iss 7, Pp n/a-n/a (2024)
Abstract Classifications of forest vegetation types and characterization of related species assemblages are important analytical tools for mapping and diversity monitoring of forest communities. The discrimination of forest communities is often based
Externí odkaz:
https://doaj.org/article/61323e179e1443bc87aa29a9d9782fe2
Autor:
Nico Eisenhauer, Karin Frank, Alexandra Weigelt, Bartosz Bartkowski, Rémy Beugnon, Katja Liebal, Miguel Mahecha, Martin Quaas, Djamil Al‐Halbouni, Ana Bastos, Friedrich J. Bohn, Mariana Madruga deBrito, Joachim Denzler, Hannes Feilhauer, Rico Fischer, Immo Fritsche, Claudia Guimaraes‐Steinicke, Martin Hänsel, Daniel B. M. Haun, Hartmut Herrmann, Andreas Huth, Heike Kalesse‐Los, Michael Koetter, Nina Kolleck, Melanie Krause, Marlene Kretschmer, Pedro J. Leitão, Torsten Masson, Karin Mora, Birgit Müller, Jian Peng, Mira L. Pöhlker, Leonie Ratzke, Markus Reichstein, Solveig Richter, Nadja Rüger, Beatriz Sánchez‐Parra, Maha Shadaydeh, Sebastian Sippel, Ina Tegen, Daniela Thrän, Josefine Umlauft, Manfred Wendisch, Kevin Wolf, Christian Wirth, Hannes Zacher, Sönke Zaehle, Johannes Quaas
Publikováno v:
Journal of Sustainable Agriculture and Environment, Vol 3, Iss 2, Pp n/a-n/a (2024)
Abstract Soil is central to the complex interplay among biodiversity, climate, and society. This paper examines the interconnectedness of soil biodiversity, climate change, and societal impacts, emphasizing the urgent need for integrated solutions. H
Externí odkaz:
https://doaj.org/article/2e5fe519e94447249968acfdfd7b0b1a
Autor:
Michele Torresani, Duccio Rocchini, Giada Ceola, Jan Peter Reinier de Vries, Hannes Feilhauer, Vítězslav Moudrý, Harm Bartholomeus, Michela Perrone, Matteo Anderle, Hannes Andres Gamper, Ludovico Chieffallo, Enrico Guatelli, Roberto Cazzolla Gatti, David Kleijn
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The ecosystem services offered by pollinators are vital for supporting agriculture and ecosystem functioning, with bees standing out as especially valuable contributors among these insects. Threats such as habitat fragmentation, intensive ag
Externí odkaz:
https://doaj.org/article/8e7254276bf14cb5831ec871d3e03e70
Publikováno v:
Ecological Indicators, Vol 143, Iss , Pp 109424- (2022)
Leaf chlorophyll content (LCC) is an important indicator of plant health. Earth observation facilitates LCC monitoring on large spatial scales and within short time intervals by retrieving canopy LCC from spectral signals. However, in-situ measuremen
Externí odkaz:
https://doaj.org/article/dd97fb056e2547f6befc69e85f8345fc
Autor:
Teja Kattenborn, Felix Schiefer, Julian Frey, Hannes Feilhauer, Miguel D. Mahecha, Carsten F. Dormann
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100018- (2022)
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive
Externí odkaz:
https://doaj.org/article/23b9fa0bb95147349b20e4cdb872469e
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100016- (2022)
Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, such as nature conservation, forestry, and agriculture. A series of studies has shown that Convolutional Neural Net
Externí odkaz:
https://doaj.org/article/5695b3c2d28f46c2a8b83662de727d1d
Autor:
Hannes Feilhauer, András Zlinszky, Adam Kania, Giles M. Foody, Daniel Doktor, Angela Lausch, Sebastian Schmidtlein
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 2, Pp 292-305 (2021)
Abstract Mapping vegetation as hard classes based on remote sensing data is a frequently applied approach, even though this crisp, categorical representation is not in line with nature's fuzziness. Gradual transitions in plant species composition in
Externí odkaz:
https://doaj.org/article/30544a1db57d48c2b963691d347a70c7