Carsten Montzka mainly investigates Remote sensing, Water content, Soil water, Soil science and Data assimilation. His Remote sensing study integrates concerns from other disciplines, such as Calibration and Temporal resolution. His studies in Water content integrate themes in fields like Remote sensing and Stability.
His Soil water research focuses on subjects like Ecosystem services, which are linked to Ecology, Environmental resource management and Data integration. His research in Soil science intersects with topics in Biomass and Spatial variability. His Data assimilation research is multidisciplinary, incorporating elements of Vadose zone and Moisture.
His primary areas of study are Water content, Remote sensing, Soil science, Hydrology and Data assimilation. Carsten Montzka focuses mostly in the field of Water content, narrowing it down to topics relating to Multispectral image and, in certain cases, Synthetic aperture radar. The Remote sensing study combines topics in areas such as Meteorology and Brightness temperature.
His study in Soil science is interdisciplinary in nature, drawing from both Scale, Hydrology and Spatial variability. His Hydrology research focuses on Surface runoff in particular. His work deals with themes such as Water balance and Evapotranspiration, which intersect with Surface runoff.
His scientific interests lie mostly in Water content, Remote sensing, Soil science, Atmospheric sciences and L band. The concepts of his Water content study are interwoven with issues in Agricultural engineering, Soil water and Data assimilation. His research integrates issues of Crop yield, Geophysics and Spatial variability in his study of Soil water.
The Lidar research he does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Protocol, therefore creating a link between diverse domains of science. He has researched Soil science in several fields, including Arid, Scale, Field and Penetration depth. His L band research also works with subjects such as
Carsten Montzka mainly focuses on Water content, Remote sensing, Data assimilation, Atmospheric sciences and Soil water. His research integrates issues of Synthetic aperture radar and Vegetation in his study of Water content. His work in the fields of Remote sensing, such as Multispectral image and L band, intersects with other areas such as Protocol, Good practice and Precision agriculture.
Carsten Montzka combines subjects such as Community land model and Soil science with his study of Data assimilation. His Atmospheric sciences study combines topics in areas such as Atmospheric radiative transfer codes, Geostationary orbit and Water cycle. His Soil water study integrates concerns from other disciplines, such as Water vapor and Normalized Difference Vegetation Index.
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Validation of SMAP surface soil moisture products with core validation sites
A. Colliander;T.J. Jackson;R. Bindlish;S. Chan.
Remote Sensing of Environment (2017)
Modeling Soil Processes: Review, Key Challenges, and New Perspectives
H. Vereecken;A. Schnepf;J. W. Hopmans;M. Javaux.
Vadose Zone Journal (2016)
On the spatio-temporal dynamics of soil moisture at the field scale
H. Vereecken;J.A. Huisman;Y. Pachepsky;C. Montzka.
Journal of Hydrology (2014)
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces
Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter
Carsten Montzka;Hamid Moradkhani;Lutz Weihermüller;Harrie-Jan Hendricks Franssen.
Journal of Hydrology (2011)
Pedotransfer functions in Earth system science: challenges and perspectives
Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel.
Reviews of Geophysics (2017)
Soil Moisture Remote Sensing: State-of-the-Science
Binayak P. Mohanty;Michael H. Cosh;Venkat Lakshmi;Carsten Montzka.
Vadose Zone Journal (2017)
Multivariate and Multiscale Data Assimilation in Terrestrial Systems: A Review
Carsten Montzka;Valentijn Rachel Noel Pauwels;Harrie-Jan Hendricks Franssen;Xujun Han.
An empirical vegetation correction for soil water content quantification using cosmic ray probes
R. Baatz;H. R. Bogena;H.-J. Hendricks Franssen;J. A. Huisman.
Water Resources Research (2015)
Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations
Xujun Han;Xujun Han;Harrie-Jan Hendricks Franssen;Carsten Montzka;Harry Vereecken.
Water Resources Research (2014)
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