Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Milutin Milenković"'
Autor:
Milutin Milenković, Johannes Reiche, John Armston, Amy Neuenschwander, Wanda De Keersmaecker, Martin Herold, Jan Verbesselt
Publikováno v:
Science of Remote Sensing, Vol 5, Iss , Pp 100051- (2022)
Two novel satellite LiDAR missions —GEDI and ICESat-2— are currently operational and combined provide near-global measurements of forest height and structure. Such data underpin a new era of large-area approaches for measuring forest height in re
Externí odkaz:
https://doaj.org/article/2f800a015b31404a95239feadacf2605
Autor:
Nenad Brodić, Željko Cvijetinović, Milutin Milenković, Jovan Kovačević, Nikola Stančić, Momir Mitrović, Dragan Mihajlović
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5345 (2022)
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this paper, we proposed an approach t
Externí odkaz:
https://doaj.org/article/79166779c121490496ca2e6b1b1cf638
Autor:
Matthias Schramm, Edzer Pebesma, Milutin Milenković, Luca Foresta, Jeroen Dries, Alexander Jacob, Wolfgang Wagner, Matthias Mohr, Markus Neteler, Miha Kadunc, Tomasz Miksa, Pieter Kempeneers, Jan Verbesselt, Bernhard Gößwein, Claudio Navacchi, Stefaan Lippens, Johannes Reiche
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1125 (2021)
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Inter
Externí odkaz:
https://doaj.org/article/8f8ecfdedf624a45aa5b32042d6cab1a
Publikováno v:
Remote Sensing, Vol 7, Iss 2, Pp 2007-2045 (2015)
Terrestrial laser scanning can provide high-resolution, two-dimensional sampling of soil surface roughness. While previous studies demonstrated the usefulness of these roughness measurements in geophysical applications, questions about the number of
Externí odkaz:
https://doaj.org/article/c16988f64491446caf887d5496cd378d
Autor:
Livia Piermattei, Markus Hollaus, Milutin Milenković, Norbert Pfeifer, Raphael Quast, Yuwei Chen, Teemu Hakala, Mika Karjalainen, Juha Hyyppä, Wolfgang Wagner
Publikováno v:
Remote Sensing, Vol 9, Iss 12, p 1252 (2017)
Radar sensors have the potential to retrieve vertical forest structure measurements thanks to their capability to penetrate into the foliage. However, studies are needed in order to understand better the interaction of radar beams with the canopy. Th
Externí odkaz:
https://doaj.org/article/93bad008c9974575a72ecc257a66d447
Autor:
Johannes Reiche, Stefaan Lippens, Luca Foresta, Milutin Milenković, Wolfgang Wagner, Jan Verbesselt, Matthias Mohr, Tomasz Miksa, Jeroen Dries, Alexander Jacob, Miha Kadunc, Edzer Pebesma, Markus Neteler, Pieter Kempeneers, Claudio Navacchi, Bernhard Gößwein, Matthias Schramm
Publikováno v:
Remote Sensing 13 (2021) 6
Remote Sensing
Remote Sensing, 13(6)
Remote Sensing, Vol 13, Iss 1125, p 1125 (2021)
Remote Sensing; Volume 13; Issue 6; Pages: 1125
Remote Sensing
Remote Sensing, 13(6)
Remote Sensing, Vol 13, Iss 1125, p 1125 (2021)
Remote Sensing; Volume 13; Issue 6; Pages: 1125
At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4255d13e32e45c42d1f4a3cb359034ca
https://research.wur.nl/en/publications/the-openeo-apiharmonising-the-use-of-earth-observation-cloud-serv
https://research.wur.nl/en/publications/the-openeo-apiharmonising-the-use-of-earth-observation-cloud-serv
Autor:
Bernhard Gößwein, Claudio Navacchi, Peter Zellner, Milutin Milenković, Mihai-Andrei Mîrt, Dainius Masiliūnas, Jan Verbesselt, Matthias Schramm
This deliverable of the openEO project provides descriptions about the use case workflows, as agreed upon in the project proposal.
{"references":["Nguyen, Duy; Clauss, Kersten; Cao, Senmao; Naeimi, Vahid; Kuenzer, Claudia; Wagner, Wolfgang (2015
{"references":["Nguyen, Duy; Clauss, Kersten; Cao, Senmao; Naeimi, Vahid; Kuenzer, Claudia; Wagner, Wolfgang (2015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ec6b3a55daba3516129f21d4c5b55f
Autor:
Milutin Milenković, Norbert Pfeifer, Álvaro Rodríguez, Rafael Giménez, Alex Martinez-Agirre, José Manuel Valle, Jesús Álvarez-Mozos
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Earth Surface Processes and Landforms, 45(3), 605-621
Earth Surface Processes and Landforms 45 (2020) 3
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
instname
Earth Surface Processes and Landforms, 45(3), 605-621
Earth Surface Processes and Landforms 45 (2020) 3
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
The surface roughness of agricultural soils is mainly related to the type of tillage performed, typically consisting of oriented and random components. Traditionally, soil surface roughness (SSR) characterization has been difficult due to its high sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c4bebb78bf7e81b7e9297e5631d330b
https://hdl.handle.net/2454/39561
https://hdl.handle.net/2454/39561
Publikováno v:
International Journal of Remote Sensing. 39:7738-7760
The Sentinel-1 satellites provide the formerly unprecedented combination of high spatial and temporal resolution of dual polarization synthetic aperture radar data. The availability of dense time s...
Autor:
Norbert Pfeifer, Sebastian Schnell, Camillo Ressl, Eva Lindberg, Milutin Milenković, Markus Hollaus, Håkan Olsson, Johan Holmgren
Publikováno v:
Remote Sensing of Environment. 200:74-88
Space-borne LiDAR systems can potentially assist large-area assessments of forest resources, in particular when a subset of the acquired LiDAR footprints is combined with field surveys of forest stand characteristics at footprint location. When combi