Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of the Jiangsu Province, China-Reference-Cited by-同舟云学术

Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of the Jiangsu Province, China

Published:2010-03-26 Issue:6 Volume:31 Page:1573-1587
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ju Weimin¹,Gao Ping²,Zhou Yanlian³,Chen Jing M.⁴,Chen Shu¹,Li Xianfeng¹

Affiliation:

1. a International Institute of Earth System Science , Nanjing University , Nanjing, Jiangsu, China , 210093

2. b Meteorological Observatory of Jiangsu Province , Nanjing, Jiangsu, China , 210008

3. c School of Geographic and Oceanographic Sciences , Nanjing University , Nanjing, Jiangsu, China , 210093

4. d Department of Geography , University of Toronto , Toronto, Ontario, Canada , M5S 3G3

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160903475357

Reference34 articles.

1. A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan

2. Design and optimisation of a large-area process-based model for annual crops

3. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications

4. Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter

5. Assimilation of global MODIS leaf area index retrievals within a terrestrial biosphere model

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