Validation practices for satellite-based Earth observation data across communities-Reference-Cited by-同舟云学术

Validation practices for satellite-based Earth observation data across communities

Published:2017-09 Issue:3 Volume:55 Page:779-817
ISSN:8755-1209
Container-title:Reviews of Geophysics
language:en
Short-container-title:Rev. Geophys.

Author:

Loew Alexander¹²^ORCID,Bell William³,Brocca Luca⁴^ORCID,Bulgin Claire E.⁵^ORCID,Burdanowitz Jörg⁶,Calbet Xavier⁷,Donner Reik V.⁸^ORCID,Ghent Darren⁹,Gruber Alexander¹⁰^ORCID,Kaminski Thomas¹¹,Kinzel Julian¹²,Klepp Christian¹³,Lambert Jean-Christopher¹⁴,Schaepman-Strub Gabriela¹⁵^ORCID,Schröder Marc¹²,Verhoelst Tijl¹⁴^ORCID

Affiliation:

1. Department of Geography; Ludwig-Maximilians-Universität München (LMU); Munich Germany

2. Deceased 2 July 2017

3. MetOffice; Reading UK

4. Research Institute for Geo-Hydrological Protection-National Research Council; Perugia Italy

5. Department of Meteorology; University of Reading; Reading UK

6. Max Planck Institute for Meteorology; Hamburg Germany

7. Spanish Meteorological Agency; AEMET; Madrid Spain

8. Potsdam Institute for Climate Impact Research; Potsdam Germany

9. Department of Physics and Astronomy; University of Leicester; Leicester UK

10. Department of Geodesy and Geoinformation; TU Wien; Vienna Austria

11. Inversion Lab; Hamburg Germany

12. Deutscher Wetterdienst; Offenbach Germany

13. Initiative Pro Klima; University of Hamburg, CliSAP/CEN; Hamburg Germany

14. Royal Belgian Institute for Space Aeronomy (BIRA-IASB); Brussels Belgium

15. Department of Evolutionary Biology and Environmental Studies; University of Zurich; Zurich Switzerland

Funder

EC FP7 Quality Assurance for Essential Climate Variables (QA4ECV)

EC Horizon 2020 project GAIA-CLIM

European Union's Seventh Framework Program

German Federal Ministry for Education and Research (BMBF)

Deutsche Forschungsgemeinschaft

Research Unit 1740 (Atlantic Freshwater Cycle)

Publisher

American Geophysical Union (AGU)

Subject

Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017RG000562/fullpdf

Reference151 articles.

1. A model-based framework for the quality assessment of surface albedo in situ measurement protocols;Adams;J. Quant. Spectrosc. Radiat. Transfer,2016

2. The Hamburg ocean atmosphere parameters and fluxes from satellite data-HOAPS-3;Andersson;Earth Syst. Sci. Data,2010

3. Bell , S. 2001 Measurement good practice guide no. 11 (issue 2): A beginner's guide to uncertainty of measurement NPL Teddington, U. K. https://www.wmo.int/pages/prog/gcos/documents/gruanmanuals/UK_NPL/mgpg11.pdf

4. Bell , W. 2015 Post-launch characterisation of satellite instruments ECMWF Shinfield Park, Reading https://www.ecmwf.int/en/elibrary/8048-post-launch-characterisation-satellite-instruments

5. Daily rainfall detection and estimation over land using microwave surface emissivities;Birman;J. Appl. Meteorol. Climatol.,2015

Cited by 152 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating the uncertainties of satellite derived soil moisture at global scale;Science of Remote Sensing;2024-12

2. Exploring the potential of Aeolus lidar mission for ocean color applications;Remote Sensing of Environment;2024-11

3. Comparison of Soil Water Content from SCATSAR-SWI and Cosmic Ray Neutron Sensing at Four Agricultural Sites in Northern Italy: Insights from Spatial Variability and Representativeness;Remote Sensing;2024-09-12

4. Exploring Spatial Aggregations and Temporal Windows for Water Quality Match-Up Analysis Using Sentinel-2 MSI and Sentinel-3 OLCI Data;Remote Sensing;2024-07-30

5. Limitations of a Multispectral UAV Sensor for Satellite Validation and Mapping Complex Vegetation;Remote Sensing;2024-07-05