A review of data assimilation of remote sensing and crop models-Reference-Cited by-同舟云学术

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A review of data assimilation of remote sensing and crop models

Published:2018-01 Issue: Volume:92 Page:141-152
ISSN:1161-0301
Container-title:European Journal of Agronomy
language:en
Short-container-title:European Journal of Agronomy

Author:

Jin Xiuliang,Kumar Lalit,Li Zhenhai,Feng Haikuan,Xu Xingang,Yang Guijun,Wang Jihua

Funder

National Natural Science Foundation of China

Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-Year Plan Period

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference156 articles.

1. Rice yield estimation by integrating remote sensing with rice growth simulation model;Abou-Ismail;Pedosphere,2004

2. Correlation between ground measured soil moisture and RADARSAT-1 derived backscattering coefficient over an agricultural catchment of Navarre (North of Spain);Alvarez-Mozos;Biosyst. Eng.,2005

3. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Mon. Weather Rev.,1999

4. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models;Atzberger;Remote Sens. Environ.,2004

5. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall–runoff model;Aubert;J. Hydrol.,2003

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