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Introduction of Hyperspectral Remote Sensing Applications

  • Liguo WangEmail author
  • Chunhui Zhao
Chapter

Abstract

Currently, hyperspectral remote sensing has been fully applied to wheat, paddy, soybean, corn and other crops (Teng et al. 2009). As a simple, fast, low-cost and non-invasive spectral analysis technique, hyperspectral technique gets much concern in agricultural production applications, mainly used in crop growth monitoring and yield estimation, nutrition diagnosis and fertilizer, agricultural product quality and safety testing and many other aspects. In recent years, the application research in the field of agriculture of hyperspectrum focuses on the following areas: food crops, including wheat, paddy, soybean, maize, etc.; agricultural products, including fruits and livestock products; economic crops, including cotton, tea and tobacco and so on.

Keywords

Vegetation Index Leaf Area Index Hyperspectral Data Suspend Sediment Content Land Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Harbin Engineering UniversityHarbinChina

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