Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data

@article{Pan2015MappingCP,
  title={Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data},
  author={Zhuokun Pan and Jingfeng Huang and Qingbo Zhou and Limin Wang and Yongxiang Cheng and Hankui Zhang and George Alan Blackburn and Jing Yan and Jianhong Liu},
  journal={Int. J. Appl. Earth Obs. Geoinformation},
  year={2015},
  volume={34},
  pages={188-197}
}
  • Zhuokun Pan, Jingfeng Huang, +6 authors Jianhong Liu
  • Published in
    Int. J. Appl. Earth Obs…
    2015
  • Computer Science, Geography
  • With the availability of high frequent satellite data, crop phenology could be accurately mapped using time-series remote sensing data. Vegetation index time-series data derived from AVHRR, MODIS, and SPOT-VEGETATION images usually have coarse spatial resolution. Mapping crop phenology parameters using higher spatial resolution images (e.g., Landsat TM-like) is unprecedented. Recently launched HJ-1 A/B CCD sensors boarded on China Environment Satellite provided a feasible and ideal data source… CONTINUE READING

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