Research on SPOT-5 Image-Based Soil Organic Matter Content Estimation

Abstract:

Soil organic matter (SOM) is the most active material component in soil, whats more, it is significant for soil fertility evaluation and agricultural sustainable development. This paper tries to establish a regional SOM prediction model of Yang Jiaqiao town, Xiangtan county in Hunan province, which based on the data obtained in the field and SPOT-5 image with the help of remote sensing retrieval technique, and then get the regional distribution of SOM. The results show that the most SOM content in experimental area is higher than 3%, which indicates SOM plays an important role in spectral reflectance characteristics, then establish corresponding estimation model and test them after transferring the reflectivity spectral data. The paper analysis and comes to a conclusion that the most appropriate model is the second-order polynomial one of red band based on SPOT-5 image by comparing the models between SOM content and single band measured reflectance.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 246-251
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.246
• Online since: September 2013
• Authors: Yun Kai Guo, Fan Zeng, Mei Qing Ding, Xiao Yan Cao, Jin Hui Zhang
• Keywords: Estimation Model, Remote Sensing Retrieval, Soil Organic Matter, Spectral Reflectance, SPOT-5

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