Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sebastian Preidl"'
Autor:
Mona Quambusch, Michael Strohbach, Vera Hörmann, Arsené Rutikanga, Sebastian Preidl, Nilraj Shrestha, Jörn Strassemeyer, Suchana Dahal, Burkhard Golla, Matthias Beyer, Malkin Gerchow, Matthias Bücker, Johannes Hoppenbrock, Falko Feldmann
Publikováno v:
Journal für Kulturpflanzen, Vol 75, Iss 01-02 (2023)
Das interdisziplinäre Forschungsprojekt CliMax ist eine Kooperation des Julius Kühn-Instituts und der Technischen Universität Braunschweig. Das Projekt erforscht die Grundlagen für effizientere Entscheidungshilfen für Städte und Kommunen, mit d
Externí odkaz:
https://doaj.org/article/8326832c2a4442cb90f3d2b1ce3ee750
Land-cover / land-cover change together with varying land-use intensity are forces of global importance especially within the last decades. This concerns the conversion of natural ecosystems into agricultural land, but also the intensified use of agr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f643ef16c8c47fa58e7447618ca2646a
https://doi.org/10.5194/egusphere-egu2020-8185
https://doi.org/10.5194/egusphere-egu2020-8185
Publikováno v:
IGARSS
We present a novel approach for detailed crop type and tree species classification exploiting high spatio-temporal resolution Sentinel-2A data. Here, we address the challenge of frequent cloud coverage in satellite observations by defining, purely da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d799b21876ae1962bc1612651578b5f
https://doi.org/10.1109/igarss.2019.8900205
https://doi.org/10.1109/igarss.2019.8900205
Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery
Publikováno v:
Remote Sensing of Environment. 240:111673
Overcoming the obstacle of frequent cloud coverage in optical remote sensing data is essential for monitoring dynamic land surface processes from space. APiC, a novel adaptable pixel-based compositing and classification approach, is especially design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e5f8a51658079d9d94499e983f6b150
https://doi.org/10.1016/j.rse.2020.111673
https://doi.org/10.1016/j.rse.2020.111673
Publikováno v:
Environmental Monitoring and Assessment. 185:9419-9434
In numerous studies, spatial and spectral aggregations of pixel information using average values from imaging spectrometer data are suggested to derive spectral indices and the subsequent vegetation parameters that are derived from these. Currently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::146c6ddb5158ca4f48496c36b66ac6b7
https://doi.org/10.1007/s10661-013-3262-8
https://doi.org/10.1007/s10661-013-3262-8
Autor:
Sebastian Preidl, Daniel Doktor
Publikováno v:
WHISPERS
This study compares the performance of radiative transfer model inversion techniques to estimate leaf chlorophyll content (LCC) from summer barley based on hyperspectral data. The PROSAIL model was used to simulate vegetation reflectances. Model perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccff5fed9e7e4a75d2b90da3e8918dd6
https://doi.org/10.1109/whispers.2011.6080936
https://doi.org/10.1109/whispers.2011.6080936