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International Journal of New Developments in Engineering and Society, 2017, 1(2); doi: 10.25236/IJNDES.17214.

Study on Extraction of Soil Information from Hyperspectral Remote Sensing


Xiujie Yuan, Xinyang Yu, Chunyan Chang

Corresponding Author:
Xiujie Yuan

National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an, Shandong, 271018


The development of precision agriculture urgently requires remote sensing technology to provide its rapid and accurate surface information. For soils, soil moisture, soil organic matter content, soil roughness, soil texture and other characteristics are important information needed in precision agriculture. As a research frontier and hotspot of international remote sensing science, hyperspectral remote sensing technology can overcome the shortcomings of conventional remote sensing by adopting the advantages of conventional remote sensing on crop monitoring, such as large area, timely and non-destructive. Through its fine spectral superiority, Accuracy of dynamic monitoring and analysis of crop health status and environmental factors affecting crop yields, with the potential to quantitatively characterize the characteristics of the features. Hyperspectral remote sensing is characterized by its high spectral resolution in the study of agricultural soil and vegetation characteristics.


Soil information, Hyperspectral remote sensing, Extraction and Mining

Cite This Paper

Xiujie Yuan, Xinyang Yu and Chunyan Chang. Study on Extraction of Soil Information from Hyperspectral Remote Sensing.  International Journal of New Developments in Engineering and Society (2017) Vol.1, Num.2: 51-54.


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