Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maximilian Langheinrich"'
Autor:
Martin Bachmann, Kevin Alonso, Emiliano Carmona, Birgit Gerasch, Martin Habermeyer, Stefanie Holzwarth, Harald Krawczyk, Maximilian Langheinrich, David Marshall, Miguel Pato, Nicole Pinnel, Raquel de losReyes, Mathias Schneider, Peter Schwind, Tobias Storch
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4536 (2021)
Today, the ground segments of the Landsat and Sentinel missions provide a wealth of well-calibrated, characterized datasets which are already orthorectified and corrected for atmospheric effects. Initiatives such as the CEOS Analysis Ready Data (ARD)
Externí odkaz:
https://doaj.org/article/a7279063e4034ee9903c490e9ad9a4a9
Autor:
Raquel de los Reyes, Maximilian Langheinrich, Peter Schwind, Rudolf Richter, Bringfried Pflug, Martin Bachmann, Rupert Müller, Emiliano Carmona, Viktoria Zekoll, Peter Reinartz
Publikováno v:
Sensors, Vol 20, Iss 5, p 1428 (2020)
The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric cor
Externí odkaz:
https://doaj.org/article/2e81933125244f0f82269a78becd9aee
Autor:
Tobias Storch, Hans-Peter Honold, Sabine Chabrillat, Martin Habermeyer, Paul Tucker, Maximilian Brell, Andreas Ohndorf, Katrin Wirth, Matthias Betz, Michael Kuchler, Helmut Mühle, Emiliano Carmona, Simon Baur, Martin Mücke, Sebastian Löw, Daniel Schulze, Steffen Zimmermann, Christoph Lenzen, Sebastian Wiesner, Saika Aida, Ralph Kahle, Peter Willburger, Sebastian Hartung, Daniele Dietrich, Nicolae Plesia, Mirco Tegler, Katharina Schork, Kevin Alonso, David Marshall, Birgit Gerasch, Peter Schwind, Miguel Pato, Mathias Schneider, Raquel de los Reyes, Maximilian Langheinrich, Julian Wenzel, Martin Bachmann, Stefanie Holzwarth, Nicole Pinnel, Luis Guanter, Karl Segl, Daniel Scheffler, Saskia Foerster, Niklas Bohn, Astrid Bracher, Mariana A. Soppa, Ferran Gascon, Rob Green, Raymond Kokaly, Jose Moreno, Cindy Ong, Manuela Sornig, Ricarda Wernitz, Klaus Bagschik, Detlef Reintsema, Laura La Porta, Anke Schickling, Sebastian Fischer
Publikováno v:
Remote Sensing of Environment. 294:113632
Autor:
Storch, Martin Bachmann, Kevin Alonso, Emiliano Carmona, Birgit Gerasch, Martin Habermeyer, Stefanie Holzwarth, Harald Krawczyk, Maximilian Langheinrich, David Marshall, Miguel Pato, Nicole Pinnel, Raquel de losReyes, Mathias Schneider, Peter Schwind, Tobias
Publikováno v:
Remote Sensing; Volume 13; Issue 22; Pages: 4536
Today, the ground segments of the Landsat and Sentinel missions provide a wealth of well-calibrated, characterized datasets which are already orthorectified and corrected for atmospheric effects. Initiatives such as the CEOS Analysis Ready Data (ARD)
Autor:
Miguel Pato, Peter Reinartz, Pablo d'Angelo, Nina Merkle, Jiaojiao Tian, Reza Bahmanyar, Ksenia Bittner, Maximilian Langheinrich, Kevin Alonso, Corentin Henry, Guichen Zhang, Xiangtian Yuan, Stefan Auer, Daniele Cerra
Publikováno v:
IGARSS
This paper describes the contribution of the DLR team ranking 2nd in Track 2 of the 2020 IEEE GRSS Data Fusion Contest. The semantic classification of multimodal earth observation data proposed is based on the refinement of low resolution MODIS label
Autor:
Ksenia Bittner, Peter Reinartz, Miguel Pato, Jiaojiao Tian, Maximilian Langheinrich, Stefan Auer, Kevin Alonso, Pablo d'Angelo, Guichen Zhang, Nina Merkle, Reza Bahmanyar, Xiangtian Yuan, Daniele Cerra, Corentin Henry
Publikováno v:
IGARSS
This paper describes the contribution of the DLR team ranking 3rd in Track 1 of the 2020 IEEE GRSS Data Fusion Contest, with results ranking 2nd in Track 2 of the same contest being reported in a companion paper. The classifications are based on refi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19da0f6c623d7a5753155dd817db1b17
https://elib.dlr.de/138093/
https://elib.dlr.de/138093/
Autor:
R. de los Reyes, Maximilian Langheinrich, Rudolf Richter, Tobias Storch, Gintautas Palubinskas
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 257-261 (2018)
The Environmental Mapping and Analysis Program (EnMAP) is an upcoming German hyperspectral satellite mission aiming to observe and characterize the Earth’s environment on a global scale. In course of a the development of the EnMAP ground segment pr
Autor:
Maximilian Langheinrich
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 559-564 (2018)
This paper aims to evaluate the applicability of automatically generated meshes produced within the gmsh meshing framework in preparation for high resolution wind speed and atmospheric pressure simulations for detailed urban environments. The process
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 115-120 (2017)
The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole countries or continents. To produce datasets of that
Autor:
Katja Seifert, Maximilian Langheinrich
Publikováno v:
IGARSS
Regarding urban environments, atmospheric models are often used to simulate processes, like i.e. heat island formation or the transportation of trace gases and particles, which are strongly connected to health and quality of living issues in modern c