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Environmental Sciences

D-Index
40
Citations
8437
World Ranking
7951
National Ranking
353

Overview

Klaus Scipal is affiliated with the European Space Agency in France. Their research primarily focuses on environmental science, earth and planetary sciences, and engineering. The subfields of study they engage in include environmental engineering, global and planetary change, aerospace engineering, atmospheric science, and aspects of management, monitoring, policy, and law related to their domains.

The main topics covered in their work include remote sensing and LiDAR applications, soil moisture and remote sensing, synthetic aperture radar (SAR) applications and techniques, landslides and related hazards, remote sensing in agriculture, oceanographic and atmospheric processes, and Arctic and Antarctic ice dynamics.

Klaus Scipal has published in several notable scientific venues. Their frequent publication venues comprise:

  • Remote Sensing of Environment
  • Remote Sensing
  • Water
  • Hydrology and earth system sciences
  • Global Change Biology

The scientist's recent publications include:

  • The International Soil Moisture Network: serving Earth system science for over a decade, 2021, Hydrology and earth system sciences
  • Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data, 2020, Remote Sensing of Environment
  • Toward a forest biomass reference measurement system for remote sensing applications, 2022, Global Change Biology
  • Increasing stratification as observed by satellite sea surface salinity measurements, 2022, Scientific Reports
  • TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono- and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census, 2023, Remote Sensing of Environment

Klaus Scipal's collaborations include frequent co-authorship with the following researchers:

  • S. Quegan
  • Mauro Mariotti d'Alessandro
  • Stefano Tebaldini
  • Lars M. H. Ulander
  • Roberto Sabia

They have contributed to book publications as well, with a notable work published by Ghent University titled Aboveground Woody Biomass Product Validation Good Practices Protocol in 2021.

Best Publications

  • A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System

    Gianpaolo Balsamo;Anton Beljaars;Klaus Scipal;Pedro Viterbo

  • Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)

    Zoltan Bartalis;Wolfgang Wagner;Vahid Naeimi;Stefan Hasenauer

  • An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations

    V. Naeimi;K. Scipal;Z. Bartalis;S. Hasenauer

  • Error characterisation of global active and passive microwave soil moisture datasets.

    W. A. Dorigo;K. Scipal;R. M. Parinussa;Y. Y. Liu;Y. Y. Liu;Y. Y. Liu

  • Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data

    Wolfgang Wagner;Klaus Scipal;Carsten Pathe;Dieter Gerten

  • The International Soil Moisture Network: Serving Earth system science for over a decade

    Wouter Dorigo;Irene Himmelbauer;Daniel Aberer;Lukas Schremmer

  • Soil moisture from Operational Meteorological Satellites

    Wolfgang Wagner;Vahid Naeimi;Klaus Scipal;Richard de Jeu

  • A possible solution for the problem of estimating the error structure of global soil moisture data sets

    K. Scipal;T.R.H. Holmes;de R.A.M. Jeu;V. Naeimi

  • The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

    Shaun Quegan;Thuy Le Toan;Jerome Chave;Jorgen Dall

  • Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain

    Antonio Ceballos;Klaus Scipal;Wolfgang Wagner;José Martínez-Fernández

  • Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system

    Klaus Scipal;Matthias Drusch;Wolfgang Wagner

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale

    J. Parajka;J. Parajka;V. Naeimi;G. Blöschl;W. Wagner

  • SAR tomography for the retrieval of forest biomass and height: cross-validation at two tropical forest sites in French Guiana

    Dinh Ho Tong Minh;Dinh Ho Tong Minh;Thuy Le Toan;Fabio Rocca;Stefano Tebaldini

  • Temporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR).

    Wolfgang Wagner;Carsten Pathe;Marcela Doubkova;Daniel Sabel

  • Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method

    Hongliang Fang;Shanshan Wei;Shanshan Wei;Chongya Jiang;Klaus Scipal

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Large-scale soil moisture mapping in western Africa using the ERS scatterometer

    W. Wagner;K. Scipal

  • The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

    T. Kaminski;W. Knorr;G. Schürmann;M. Scholze

  • Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing

    K. Scipal;C. Scheffler;W. Wagner

Frequent Co-Authors

Shaun Quegan
Shaun Quegan University of Sheffield
Stefano Tebaldini
Stefano Tebaldini Polytechnic University of Milan
Lars M. H. Ulander
Lars M. H. Ulander Chalmers University of Technology
Thuy Le Toan
Thuy Le Toan Paul Sabatier University
Jérôme Chave
Jérôme Chave Paul Sabatier University
Matthias Drusch
Matthias Drusch European Space Agency
Maxime Réjou-Méchain
Maxime Réjou-Méchain Institut de Recherche pour le Développement
Annett Bartsch
Annett Bartsch Central Institution for Meteorology and Geodynamics
Sassan Saatchi
Sassan Saatchi California Institute of Technology

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