Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Edvinas Rommel"'
Autor:
Edvinas Rommel, Laura Giese, Katharina Fricke, Frederik Kathöfer, Maike Heuner, Tina Mölter, Paul Deffert, Maryam Asgari, Paul Näthe, Filip Dzunic, Gilles Rock, Jens Bongartz, Andreas Burkart, Ina Quick, Uwe Schröder, Björn Baschek
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 954 (2022)
Riparian zones fulfill diverse ecological and economic functions. Sustainable management requires detailed spatial information about vegetation and hydromorphological properties. In this study, we propose a machine learning classification workflow to
Externí odkaz:
https://doaj.org/article/9e00b29ea3444b00b7f88a0b7d30232d
Autor:
Paul Naethe, Maryam Asgari, Caspar Kneer, Michel Knieps, Alexander Jenal, Immanuel Weber, Tina Moelter, Filip Dzunic, Paul Deffert, Edvinas Rommel, Michael Delaney, Björn Baschek, Gilles Rock, Jens Bongartz, Andreas Burkart
Publikováno v:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 91:43-58
Autor:
Svenja Wick, Maike Heuner, Alexander Jenal, Filip Dzunic, Paul Näthe, Uwe Schröder, Björn Baschek, Caspar Kneer, Maryam Asgari, Gilles Rock, Edvinas Rommel, Jens Bongartz, Tina Mölter, Ina Quick, Andreas Burkart, Katharina Fricke, Immanuel Weber
Up-to-date information about vegetation types and hydromorphological structures and features are essential for the management of waterways. They are e.g. used for the monitoring and reporting of ri...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfbdb05b8ef1a9cf5d522786abcae7d6
https://doi.org/10.1002/essoar.10502051.1
https://doi.org/10.1002/essoar.10502051.1
Autor:
Edvinas Rommel, Gherardo Chirici, Sebastian Schmidtlein, Marta Galluzzi, Thomas W. Gillespie, Giovanni Bacaro, Martin Wegmann, Duccio Rocchini, Daniele Da Re, Giles M. Foody, Carlo Ricotta, Andrew K. Skidmore, Harini Nagendra, Benedetto Rugani, Matteo Marcantonio, Jonathan Lenoir, Kate S. He, Carol X. Garzon-Lopez, Ruben Van De Kerchove, Hannes Feilhauer
Publikováno v:
Ecological Indicators
Ecological Indicators, Elsevier, 2018, 85, pp.983-990. ⟨10.1016/j.ecolind.2017.09.055⟩
Ecological indicators, 85, 983-990. ELSEVIER SCIENCE BV
Ecological indicators, 85, 983-990. Elsevier
Ecological Indicators, Elsevier, 2018, 85, pp.983-990. ⟨10.1016/j.ecolind.2017.09.055⟩
Ecological indicators, 85, 983-990. ELSEVIER SCIENCE BV
Ecological indicators, 85, 983-990. Elsevier
International audience; Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of sampling units to be investigated and the sampling design (e.g. systematic, random, stratified)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f583f88a8968d6d25d4bc5ed41915401
https://hdl.handle.net/11368/2915346
https://hdl.handle.net/11368/2915346