Spatiotemporal Cube Model Based on Stress Features for Identification of Heavy Metal Stress in Rice-Reference-Cited by-同舟云学术

Spatiotemporal Cube Model Based on Stress Features for Identification of Heavy Metal Stress in Rice

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Shuyu¹^ORCID,Liu Meiling¹^ORCID,Li Yiman¹,Wu Ling¹^ORCID,Zhou Botian²,Tian Lingwen¹^ORCID

Affiliation:

1. School of Information Engineering, China University of Geoscience, Beijing, China

2. Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China

Funder

National Natural Science Foundation of China

Chongqing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10379447.pdf?arnumber=10379447

Reference50 articles.

1. Low uptake affinity cultivars with biochar to tackle Cd-tainted rice — A field study over four rice seasons in Hunan, China

2. Risk assessment of potentially toxic element pollution in soils and rice (Oryza sativa) in a typical area of the Yangtze River Delta

3. Remote-sensing technique in crop heavy-metal pollution studies;Kancheva;Dokladi Na Bolgarskata Akademiya Na Naukite,1992

4. Progress in soil heavy metal pollution monitoring via remote sensing technology;Shen;Remote Sens. Inf.,2014

5. Hyperspectral Image Classification With Small Training Sample Size Using Superpixel-Guided Training Sample Enlargement

Cited by 1 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. Identification of heavy metal stress in rice using spatial clustering based on time series of crop spectral information;Environmental Earth Sciences;2024-05-31