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An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images

  • Published:2019-08 Issue: Volume:80 Page:230-239
  • ISSN:0303-2434
  • Container-title:International Journal of Applied Earth Observation and Geoinformation
  • language:en
  • Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Liu Meiling,Skidmore Andrew K.,Wang Tiejun,Liu Xiangnan,Wu Ling,Tian Lingwen

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Scholarship Council and co-funded by the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference61 articles.

1. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data;Bradley;Remote Sens. Environ.,2007

2. Multi-temporal analysis of remotely sensed information using wavelets;Campos;J. Geogr. Inf. Syst.,2012

3. Detecting vegetation leaf water content using reflectance in the optical domain;Ceccato;Remote Sens. Environ.,2001

4. Low uptake affinity cultivars with biochar to tackle Cd-tainted rice - a field study over four rice seasons in hunan;Chen;China. Sci. Total Environ.,2016

5. A statistical framework for the analysis of long image time series;de Beurs;Int. J. Remote Sens.,2005

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