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Detection of oasis soil composition and analysis of environmental parameters based on hyperspectral image and GIS.
- Source :
- Arabian Journal of Geosciences; Jun2021, Vol. 14 Issue 11, p1-13, 13p
- Publication Year :
- 2021
-
Abstract
- With the continuous development of science and technology in our country, environmental problems have emerged one after another. The salinization of soil components in many oasis areas has begun to appear, which is a problem facing the whole world. In this research, we have conducted a large number of experiments and field investigations to study the oasis using hyperspectral image technology. We first conducted an in-depth study and understanding of the knowledge behind the salinization of oasis, and then conducted on-site surveys, and used the characteristics of hyperspectral images to detect the composition of the oasis soil. In the next 2 years, we will also continue to pay attention to the changes in the composition of the oasis soil, and study the evolution of the oasis in time series. We have focused on how the climate of the oasis in recent decades has affected the formation of the oasis, which provides a basis for studying the development of the oasis. At the same time, we have also studied the stability and security of some mountain and desert ecosystems, and learned about their sustainable development models. We have also taken a series of measures to establish ecological demonstration areas in some western regions to study the ecological effects of oasis areas. At the same time, we actively cooperated with the national oasis project and made our own predictions on the evolution of the environment. At the same time, we also put forward some suggestions and management models to provide help and support for the future development of the oasis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18667511
- Volume :
- 14
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Arabian Journal of Geosciences
- Publication Type :
- Academic Journal
- Accession number :
- 151229644
- Full Text :
- https://doi.org/10.1007/s12517-021-07407-6