Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum
Wang Jinliang, Qin Qiming, Dong Heng, Chen Chao, Meng Qingye
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.47How to use a DOI?
- Soil Organic Matter; Hyperspectral Data; Regression Analysis; Partial Least Square
- 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.
- 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 BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press 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 -