Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model

Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model

Accurate monitoring of heavy metal stress in crops is of great importance to assure agricultural productivity and food security, and remote sensing is an effective tool to address this problem. However, given that Earth observation instruments provide data at multiple scales, the choice of scale for...

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Bibliographic Details
Main Authors: Zhi Huang, Xiangnan Liu, Ming Jin, Chao Ding, Jiale Jiang, Ling Wu
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Sensors
Subjects:
characteristic scale
heavy metal stress
GF-1
rice
data assimilation
Online Access:http://www.mdpi.com/1424-8220/16/3/340

Internet

http://www.mdpi.com/1424-8220/16/3/340

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