State of the Art in Large-Scale Soil Moisture Monitoring-Reference-Cited by-同舟云学术

State of the Art in Large-Scale Soil Moisture Monitoring

Published:2013-10-18 Issue:6 Volume:77 Page:1888-1919
ISSN:0361-5995
Container-title:Soil Science Society of America Journal
language:en
Short-container-title:Soil Science Society of America Journal

Author:

Ochsner Tyson E.¹,Cosh Michael H.²,Cuenca Richard H.³,Dorigo Wouter A.⁴,Draper Clara S.⁵⁶,Hagimoto Yutaka³,Kerr Yann H.⁷⁸,Larson Kristine M.⁸,Njoku Eni G.⁹,Small Eric E.¹⁰,Zreda Marek¹¹

Affiliation:

1. Dep. of Plant and Soil Sciences; Oklahoma State Univ.; 368 Agricultural Hall Stillwater OK 74078

2. USDA-ARS; Hydrology and Remote Sensing Lab.; Beltsville MD 20705

3. Dep. of Biological and Ecological Engineering; Oregon State Univ.; Corvallis OR 97331

4. Dep. of Geodesy and Geoinformation; Vienna Univ. of Technology; 1040 Vienna Austria

5. Global Modeling and Assimilation Office; NASA Goddard Space Flight Center; Greenbelt MD 20771

6. GESTAR Universities Space Research Association; Columbia MD 21044

7. Centre d'Etudes Spatiales de la Biosphere; 31401 Toulouse France

8. Dep. of Aerospace Engineering Sciences; Univ. of Colorado; Boulder CO 80309

9. Jet Propulsion Laboratory; California Institute of Technology; Pasadena CA 91109

10. Dep. of Geological Sciences; Univ. of Colorado; Boulder CO 80309

11. Dep. of Hydrology and Water Resources; Univ. of Arizona; Tucson AZ 85721

Funder

Oklahoma Agricultural Experiment Station

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2136/sssaj2013.03.0093/fullpdf

Reference230 articles.

1. Evaluating the impact of assimilating soil moisture variability data on latent heat flux estimation in a land surface model. Can. Water Resour;Alavi;J.,2010

2. Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network;Al Bitar;IEEE Trans. Geosci. Remote Sens.,2012

3. A bare ground evaporation revision in the ECMWF land-surface scheme: Evaluation of its impact using ground soil moisture and satellite microwave data;Albergel;Hydrol. Earth Syst. Sci.,2012b

4. Evaluation of remotely sensed and modeled soil moisture products using global ground-based in situ observations. Remote Sens;Albergel;Environ.,2012a

5. A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: The CAROLS airborne campaign. Remote Sens;Albergel;Environ.,2011

Cited by 368 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. Improving soil moisture prediction with deep learning and machine learning models;Computers and Electronics in Agriculture;2024-11

2. 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

3. Spatiotemporal Variations in Near-Surface Soil Water Content across Agroecological Regions of Mainland India: 1979–2022 (44 Years);Remote Sensing;2024-08-22

4. Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data;International Journal of Digital Earth;2024-08-04

5. Traditional matric potential thresholds underestimate soil moisture at field capacity across Oklahoma;Soil Science Society of America Journal;2024-08-02