Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Anja Stadler"'
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 2808-2831 (2015)
Leaf Area Index (LAI) is an important variable for numerous processes in various disciplines of bio- and geosciences. In situ measurements are the most accurate source of LAI among the LAI measuring methods, but the in situ measurements have the limi
Externí odkaz:
https://doaj.org/article/3f44e2d0881747cd8ea4384818320955
Autor:
Hella Ellen Ahrends, Rainer Haseneder-Lind, Jan H. Schween, Susanne Crewell, Anja Stadler, Uwe Rascher
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 9775-9801 (2014)
The latent heat flux, one of the key components of the surface energy balance, can be inferred from remotely sensed thermal infrared data. However, discrepancies between modeled and observed evapotranspiration are large. Thermal cameras might provide
Externí odkaz:
https://doaj.org/article/d9eaf0fc7ccf408194e7cac4d74dd3a3
Autor:
Tim G Reichenau, Wolfgang Korres, Carsten Montzka, Peter Fiener, Florian Wilken, Anja Stadler, Guido Waldhoff, Karl Schneider
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0158451 (2016)
The ratio of leaf area to ground area (leaf area index, LAI) is an important state variable in ecosystem studies since it influences fluxes of matter and energy between the land surface and the atmosphere. As a basis for generating temporally continu
Externí odkaz:
https://doaj.org/article/992957174ca940db9e4f47164dca35fa
Autor:
Alexander Graf, Marius Schmidt, Anja Stadler, Karl Schneider, W. Korres, Gerhard Welp, Nele Meyer, Cosimo Brogi, Tim G. Reichenau
Publikováno v:
Earth system science data 12(4), 2333-2364 (2020). doi:10.5194/essd-12-2333-2020
Earth System Science Data, Vol 12, Pp 2333-2364 (2020)
Earth System Science Data, Vol 12, Pp 2333-2364 (2020)
The development and validation of hydroecological land-surface models to simulate agricultural areas require extensive data on weather, soil properties, agricultural management, and vegetation states and fluxes. However, these comprehensive data are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c96ac57ce896bae5aa522226871e37
https://doi.org/10.5194/essd-2019-193
https://doi.org/10.5194/essd-2019-193
Publikováno v:
Field Crops Research. 176:108-118
This study aimed at observing and analyzing spatial and temporal patterns of growth and CO2 and H2O fluxes in winter wheat (Triticum aestivum L.) and winter barley (Hordeum vulgare L.) under heterogeneous soil conditions. Canopy level gas exchange, d
Autor:
Frank Ewert, Sebastian Rudolph, Anja Stadler, Jan van der Kruk, Moritz Kupisch, Matthias Langensiepen
Publikováno v:
European Journal of Agronomy. 64:8-20
Spatial heterogeneity of crop growth within fields is rarely quantified but essential for estimating yield and optimizing crop management. Relationships in fields between crop growth and soil physical characteristics have been described before but an
Autor:
Karl Schneider, Michael Herbst, Harry Vereecken, Marius Schmidt, Anne Klosterhalfen, Johan Alexander Huisman, Alexander Graf, Jens-Arne Subke, Anja Stadler, Lutz Weihermüller
Publikováno v:
Ecological modelling 363, 137-156 (2017). doi:10.1016/j.ecolmodel.2017.07.028
Croplands play an important role in the carbon budget of many regions. However, the estimation of their carbon balance remains difficult due to diversity and complexity of the processes involved. We report the coupling of a one-dimensional soil water
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9d4ba68b5568bf394bea0940c1e4fe0
https://hdl.handle.net/2128/18651
https://hdl.handle.net/2128/18651
Autor:
Sebastian Wieneke, Micol Rossini, Uwe Rascher, Anja Stadler, Hella Ellen Ahrends, Francisco de Assis de Carvalho Pinto, Alexander Damm
Publikováno v:
Remote sensing of environment 184, 654-667 (2016). doi:10.1016/j.rse.2016.07.025
Remote sensing (RS) approaches commonly applied to constrain estimates of gross primary production (GPP) employ greenness-based vegetation indices derived from surface reflectance data. Such approaches cannot capture dynamic changes of photosynthesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a800868bb19391284a2403386ae5d11
Autor:
Guido Waldhoff, Karl Schneider, W. Korres, Florian Wilken, Carsten Montzka, Tim G. Reichenau, Anja Stadler, Peter Fiener
Publikováno v:
PLoS one 11(7), e0158451-(2016). doi:10.1371/journal.pone.0158451
PLoS ONE
PLoS ONE, Vol 11, Iss 7, p e0158451 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 7, p e0158451 (2016)
The ratio of leaf area to ground area (leaf area index, LAI) is an important state variable in ecosystem studies since it influences fluxes of matter and energy between the land surface and the atmosphere. As a basis for generating temporally continu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe0fbeb8102f3066c8aeb736201537d0
https://juser.fz-juelich.de/record/820928
https://juser.fz-juelich.de/record/820928
Publikováno v:
Remote Sensing; Volume 7; Issue 3; Pages: 2808-2831
Leaf Area Index (LAI) is an important variable for numerous processes in various disciplines of bio- and geosciences. In situ measurements are the most accurate source of LAI among the LAI measuring methods, but the in situ measurements have the limi