Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum

Authors
Wang Jinliang, Qin Qiming, Dong Heng, Chen Chao, Meng Qingye
Corresponding Author
Wang Jinliang
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.47How to use a DOI?
Keywords
Soil Organic Matter; Hyperspectral Data; Regression Analysis; Partial Least Square
Abstract
As we know, soil organic matter (SOM) is very important to the plant, especially for the crop. How to quickly access the information of SOM has become a major problem faced by many researchers. Now hyperspectral remote sensing technology became more and more useful in the retrieval of SOM. In this paper, we used different forms of bands combination, and partial least square regression to get the SOM retrieve model. The result shows that using the 2nd derivative of reflectance model can get the best SOM retrieval result.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.47How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wang Jinliang
AU  - Qin Qiming
AU  - Dong Heng
AU  - Chen Chao
AU  - Meng Qingye
PY  - 2013/11
DA  - 2013/11
TI  - Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum
PB  - Atlantis Press
SP  - 382
EP  - 389
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.47
DO  - https://doi.org/10.2991/icmt-13.2013.47
ID  - Jinliang2013/11
ER  -