Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jan G.P.W. Clevers"'
Autor:
Na Wang, Juha Suomalainen, Harm Bartholomeus, Lammert Kooistra, Dainius Masiliūnas, Jan G.P.W. Clevers
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 96, Iss , Pp 102276- (2021)
Unmanned Aerial Vehicle (UAV)-based measurements allow studying sun-induced chlorophyll fluorescence (SIF) at the field scale and can potentially upscale results from ground to airborne/satellite level. The objective of this paper is to present the F
Externí odkaz:
https://doaj.org/article/5f2a8720048544a28adf8f5fc9d1e1af
Monitoring surface water dynamics and vegetation types is important to aquatic ecosystem management. With the advantages of high spatiotemporal resolution and wide coverage, remote sensing has played a vital role in Global Aquatic Land Cover (GALC) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6bc8a59e485fb0efebe06f0900c500a
https://doi.org/10.5194/egusphere-egu23-15017
https://doi.org/10.5194/egusphere-egu23-15017
Publikováno v:
Agricultural and Forest Meteorology 323 (2022)
Agricultural and Forest Meteorology, 323
Agricultural and Forest Meteorology, 323
Sun-induced chlorophyll fluorescence (SIF) is a direct indicator of plant photosynthetic activities and can potentially indicate plant physiological changes caused by water stress. However, the direct effect of water stress on the physiological SIF r
Publikováno v:
Remote Sensing of Environment 278 (2022)
Remote Sensing of Environment, 278
Remote Sensing of Environment
Remote Sensing of Environment, 278
Remote Sensing of Environment
The sustainable management of aquatic resources requires spatially explicit information on the water and vegetation presence of aquatic ecosystems. Previous Global Aquatic Land Cover (GALC) mapping has been focused on water bodies while lacking infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc66fdd2c0e64c76ec709a7a2c026ffa
https://research.wur.nl/en/publications/improving-the-characterization-of-global-aquatic-land-cover-types
https://research.wur.nl/en/publications/improving-the-characterization-of-global-aquatic-land-cover-types
Autor:
Na Wang, Bastian Siegmann, Uwe Rascher, Jan G.P.W. Clevers, Onno Muller, Harm Bartholomeus, Juliane Bendig, Dainius Masiliūnas, Ralf Pude, Lammert Kooistra
Publikováno v:
Agricultural and Forest Meteorology, 323
Agricultural and Forest Meteorology 323 (2022)
Agricultural and forest meteorology 323, 109081-(2022). doi:10.1016/j.agrformet.2022.109081
Agricultural and Forest Meteorology 323 (2022)
Agricultural and forest meteorology 323, 109081-(2022). doi:10.1016/j.agrformet.2022.109081
Sun-induced chlorophyll fluorescence (SIF) is a promising proxy of the dynamic photosynthetic process. Unmanned Aerial Vehicles (UAVs) are flexible and cost-effective for acquiring SIF data at high temporal and spatial resolution. The UAV-based point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e243a1c576d3c413e780ddcb3814055
https://research.wur.nl/en/publications/comparison-of-a-uav-and-an-airborne-based-system-to-acquire-far-r
https://research.wur.nl/en/publications/comparison-of-a-uav-and-an-airborne-based-system-to-acquire-far-r
Autor:
Bruno Aiazzi, Stefano Baronti, Jürgen Beyerer, M. Cacciola, Luca Capobianco, Jan G.P.W. Clevers, Tim Cootes, Andrea Garzelli, Ioana Gheţa, Stamatia Giannarou, Michael Heizmann, Jing Jin, Antonis Katartzis, Roger L. King, Shutao Li, David Looney, Danilo P. Mandic, Nikolaos Mitianoudis, F.C. Morabito, Shree K. Nayar, Filippo Nencini, Xavier Otazu, Laurent Oudre, Maria Petrou, Vladimir Petrović, Pushkar Pradham, Jennifer Sander, Yoav Y. Schechner, Massimo Selva, Yi Shen, G. Simone, Tania Stathaki, Qiang Wang, Costas Xydeas, Bin Yang, Nicolas H. Younan, Raul Zurita-Milla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b08a48e717d740f363569d3b4c94d1
https://doi.org/10.1016/b978-0-12-372529-5.50003-1
https://doi.org/10.1016/b978-0-12-372529-5.50003-1