Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Paul Näthe"'
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
Publikováno v:
Journal of Applied Remote Sensing. 16
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:
Ying Sun, Jiaming Wen, Julie LeVonne, Jeff Melkonian, Susan J. Riha, Joseph Skovira, Oz Kira, Christine Yao-Yun Chang, Paul Näthe, Sharon Ng, Jeffrey D. Wood, Jimei Han, Lianhong Gu
Publikováno v:
Remote Sensing of Environment. 268:112765
Autor:
Susan J. Riha, Paul Näthe, Oz Kira, Sharon Ng, Julie LeVonne, Lianhong Gu, Jeff Melkonian, Jeffrey D. Wood, Jiaming Wen, Ying Sun, Jimei Han, Christine Yao-Yun Chang, Joseph Skovira
Publikováno v:
Remote Sensing of Environment. 265:112672
Sun-induced chlorophyll fluorescence (SIF) from spaceborne sensors is a promising tool for global carbon cycle monitoring, but its application is constrained by insufficient understanding of the drivers underlying diurnal SIF dynamics. SIF measuremen