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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 382
EP  - 389
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.47
DO  - 10.2991/icmt-13.2013.47
ID  - Jinliang2013/11
ER  -