The following publications are possibly variants of this publication:
- Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST ModelZhi Huang, Xiangnan Liu, Ming Jin, Chao Ding, Jiale Jiang, Ling Wu. sensors, 16(3):340, 2016. [doi]
- An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in riceMing Jin, Xiangnan Liu, Ling Wu, Meiling Liu. aeog, 41:118-129, 2015. [doi]
- Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B DataShuyuan Liu, Xiangnan Liu, Meiling Liu, Ling Wu, Chao Ding, Zhi Huang. sensors, 17(6):1243, 2017. [doi]
- Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal StressGaoxiang Zhou, Xiangnan Liu, Shuang Zhao, Ming Liu, Ling Wu. remotesensing, 9(5):424, 2017. [doi]
- Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in RiceFeng Liu, Xiangnan Liu, Ling Wu, Zhao Xu, Lu Gong. staeors, 9(4):1685-1695, 2016. [doi]