Crop indentification based on hyperspectral remote sensing

Journal Title: Remote Sensing - Year 2014, Vol 3, Issue 1

Abstract

hyperspectral Remote Sensing provides a new technical means for the identification of crop species<b 12>, which isof significance for thedevelopment of precision agriculture. In this study, spectral characteristics-based identification were conducted on 7 crops at harvest by using different data Forms and commonly used vegetation indices. The reflectivity of Canna is very prominent in 350-500 nm wavelength, and The spectral reflectance of crops varied in 760-915 nm,1 000-1/Nm. The best wavelengths for identification of the 7 crops is 516 nm, 568 nm, 609 nm, 642nm, </b 18>660 nm,nm, 717 nm , 760 nm , 928 nm , 1 001 nm , 1 118 nm , 1 136 nm and 1 327 nm. Among vegetation indices, rv/ showed the strongest identifying potential followed by Msri b129>,NV/, tdv/ , ev/ , ndv/ , sav/ , DV /, tv/ , /pv/.To sum up , The characteristic spectrum and vegetation index are capable of crop discrimination.

Authors and Affiliations

Shu tian, Yue yan-bin, Li li jie, LI Rui june, Li yu -rong, Peng zhi-liang

Keywords

Related Articles

High resolution Remote Sensing Image retrieval Based on Multi-visual Feature and K-centroid Clustering

At present , Resolution remote Sensing image retrieval based on single content has the problem of one-sided description and imprecise information. The color, shape and Texture features of remote sensing images were fully...

Application of new technology in pest control of forestry

Forestry is People's life , Social Development , important content for environmental protection . with the continuous development and progress of science and technology , Forest Pest prevention work to be replaced by new...

Spectral Unmixing of Hyperspectral Images in the Presence of Small Targets

Generally, the content of the hyperspectral image pixel is a mixture of the reflectance spectra of the different components in the imaged scene. In this paper, we consider a linear mixing model where the pixels are linea...

Problems and Countermeasures in the geological exploration of deep mineral

In view of the needs of the geological exploration of the deep mineral resources, the necessity, problems and Co Untermeasures of the geological exploration of the deep mineral resources are explored.

Block-adjustment algorithm and Test for Three-line-array Image of highresolution Remote sensing satellite

The geometric positioning process of high-resolution remote sensing satellite images was outlined. The necessity of block adjustment was analyzed. Combined with the imaging characteristics of line sensors, rigorous geome...

Download PDF file
  • EP ID EP680294
  • DOI -
  • Views 169
  • Downloads 0

How To Cite

Shu tian, Yue yan-bin, Li li jie, LI Rui june, Li yu -rong, Peng zhi-liang (2014). Crop indentification based on hyperspectral remote sensing. Remote Sensing, 3(1), -. https://europub.co.uk/articles/-A-680294