D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 30 Citations 4,094 93 World Ranking 7360 National Ranking 461

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Optics
  • Remote sensing

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 most cited work include:

  • Modeling Soil Processes: Review, Key Challenges, and New Perspectives (313 citations)
  • Validation of SMAP surface soil moisture products with core validation sites (292 citations)
  • On the spatio-temporal dynamics of soil moisture at the field scale (236 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Water content (44.44%)
  • Remote sensing (40.21%)
  • Soil science (26.46%)

What were the highlights of his more recent work (between 2019-2021)?

  • Water content (44.44%)
  • Remote sensing (40.21%)
  • Soil science (26.46%)

In recent papers he was focusing on the following fields of study:

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

  • Multispectral image that intertwine with fields like Vegetation and Canopy,
  • Synthetic aperture radar and related Data set and Backscatter.

Between 2019 and 2021, his most popular works were:

  • Linking the remote sensing of geodiversity and traits relevant to biodiversity—Part II : Geomorphology, terrain and surfaces (44 citations)
  • Validation practices for satellite soil moisture retrievals: what are (the) errors? (21 citations)
  • Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges (9 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Optics
  • Remote sensing

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

466 Citations

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

H. Vereecken;A. Schnepf;J. W. Hopmans;M. Javaux.
Vadose Zone Journal (2016)

461 Citations

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)

309 Citations

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

.
(2020)

242 Citations

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)

232 Citations

Pedotransfer functions in Earth system science: challenges and perspectives

Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel.
Reviews of Geophysics (2017)

156 Citations

Soil Moisture Remote Sensing: State-of-the-Science

Binayak P. Mohanty;Michael H. Cosh;Venkat Lakshmi;Carsten Montzka.
Vadose Zone Journal (2017)

138 Citations

Multivariate and Multiscale Data Assimilation in Terrestrial Systems: A Review

Carsten Montzka;Valentijn Rachel Noel Pauwels;Harrie-Jan Hendricks Franssen;Xujun Han.
Sensors (2012)

93 Citations

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)

90 Citations

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)

79 Citations

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