Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Uta Heiden"'
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116867- (2024)
The Copernicus Sentinel-2 multispectral imagery data may be aggregated to extract large-scale, bare soil, reflectance composites, which enable soil mapping applications. In this paper, this approach was tested in the German federal state of Bavaria,
Externí odkaz:
https://doaj.org/article/eb29a3ce4ded462c887d8a42f6f1e77d
Autor:
Uta Heiden, Pablo d’Angelo, Peter Schwind, Paul Karlshöfer, Rupert Müller, Simone Zepp, Martin Wiesmeier, Peter Reinartz
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4526 (2022)
Reflectance composites that capture bare soil pixels from multispectral image data are increasingly being analysed to model soil constituents such as soil organic carbon. These temporal composites are used instead of single-date multispectral images
Externí odkaz:
https://doaj.org/article/06ecf99f7b8a45ab8e732afef950dc97
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 100, Iss , Pp 102332- (2021)
Urban areas contain a complex mixture of surface materials resulting in mixed pixels that are challenging to handle with conventional mapping approaches. In particular, for spaceborne hyperspectral images (HSIs) with sufficient spectral resolution to
Externí odkaz:
https://doaj.org/article/d8ebfb72b95c4520ba0482d0ff4e3978
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 98, Iss , Pp 102311- (2021)
Mapping a specific tree species at individual tree level across landscapes using remote sensing is challenging, especially in forests where co-occurring tree species exhibit similar characteristics. In Central European mixed forests, silver fir and N
Externí odkaz:
https://doaj.org/article/cb44366d410f45bcbda62108d037b173
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2295 (2022)
There is a growing need for an area-wide knowledge of SOC contents in agricultural soils at the field scale for food security and monitoring long-term changes related to soil health and climate change. In Germany, SOC maps are mostly available with a
Externí odkaz:
https://doaj.org/article/1e6ce69b328c4ec896f2740d5533e35b
Autor:
Simone Zepp, Uta Heiden, Martin Bachmann, Martin Wiesmeier, Michael Steininger, Bas van Wesemael
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3141 (2021)
For food security issues or global climate change, there is a growing need for large-scale knowledge of soil organic carbon (SOC) contents in agricultural soils. To capture and quantify SOC contents at a field scale, Earth Observation (EO) can be a v
Externí odkaz:
https://doaj.org/article/17beb220ef664734ac707ce27b0cd0bd
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1791 (2021)
Pilot studies have demonstrated the potential of remote sensing for soil organic carbon (SOC) mapping in exposed croplands. However, the use of remote sensing for SOC prediction is often hindered by disturbing factors at the soil surface, such as pho
Externí odkaz:
https://doaj.org/article/764f07cf4ef341ecaa6ad26b1cb72421
Autor:
Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew Skidmore, Marco Heurich, Marc Paganini, Uta Heiden, Sander Mücher
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1788 (2020)
Accurate measurement of canopy chlorophyll content (CCC) is essential for the understanding of terrestrial ecosystem dynamics through monitoring and evaluating properties such as carbon and water flux, productivity, light use efficiency as well as nu
Externí odkaz:
https://doaj.org/article/fd7c7b3c6a014deaafd0f8313a12a7fd
Autor:
Sarah Malec, Derek Rogge, Uta Heiden, Arturo Sanchez-Azofeifa, Martin Bachmann, Martin Wegmann
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 11776-11800 (2015)
Soil erosion can be linked to relative fractional cover of photosynthetic-active vegetation (PV), non-photosynthetic-active vegetation (NPV) and bare soil (BS), which can be integrated into erosion models as the cover-management C-factor. This study
Externí odkaz:
https://doaj.org/article/366928ccaa92477ca20b782cfcb6a90f
Autor:
Luis Guanter, Hermann Kaufmann, Karl Segl, Saskia Foerster, Christian Rogass, Sabine Chabrillat, Theres Kuester, André Hollstein, Godela Rossner, Christian Chlebek, Christoph Straif, Sebastian Fischer, Stefanie Schrader, Tobias Storch, Uta Heiden, Andreas Mueller, Martin Bachmann, Helmut Mühle, Rupert Müller, Martin Habermeyer, Andreas Ohndorf, Joachim Hill, Henning Buddenbaum, Patrick Hostert, Sebastian van der Linden, Pedro J. Leitão, Andreas Rabe, Roland Doerffer, Hajo Krasemann, Hongyan Xi, Wolfram Mauser, Tobias Hank, Matthias Locherer, Michael Rast, Karl Staenz, Bernhard Sang
Publikováno v:
Remote Sensing, Vol 7, Iss 7, Pp 8830-8857 (2015)
Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through spectrally-resolved measurements of the light interacting with matter. The potential of imaging spectr
Externí odkaz:
https://doaj.org/article/1ff6855b9e1442db80abe20930fc32f7