Automation of Customized and Near-Real-Time Vegetation Condition Index Generation Through Cyberinfrastructure-Based Geoprocessing Workflows

@article{Sun2014AutomationOC,
  title={Automation of Customized and Near-Real-Time Vegetation Condition Index Generation Through Cyberinfrastructure-Based Geoprocessing Workflows},
  author={Ziheng Sun and Chunming Peng and Meixia Deng and Aijun Chen and Peng Yue and Hui Fang and Liping Di},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2014},
  volume={7},
  pages={4512-4522}
}
Vegetation condition index (VCI) is a popular index widely used in vegetation-related analyses. Traditional VCI products are fixed on temporal extent and unchangeable for common users. Customized VCI products, which contain a lot of new information that is unavailable in traditional VCI products, are usually difficult to generate. A new method to automate the generation of customized and near-real-time (NRT) VCI products is in great demand but remains a big challenge. Recent advances in… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 37 REFERENCES

Study on generation and sharing of on-demand global seamless data–taking MODIS NDVI as an example

D. Shen
  • Comput. Geosci., vol. 54, no. 4, pp. 66–74, 2013.
  • 2013
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

An overview of MODIS Land data processing and product status

C. O. Justice
  • Remote Sens. Environ., vol. 83, no. 1, pp. 3–15, 2002.
  • 2002
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Planting and harvesting times for garden vegetables

R. Jauron, D. E. Nelson
  • Iowa State University, Ames, IA, USA, 2014.
  • 2014
VIEW 1 EXCERPT

Web service-based vegetation condition monitoring system - VegScape

  • 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
  • 2013
VIEW 2 EXCERPTS

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