Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.3390/s23229173 |
| A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5 | |
| Yang, Jingyi; Wang, Qinjun; Chang, Dingkun; Xu, Wentao; Yuan, Boqi | |
| 通讯作者 | Wang, QJ |
| 来源期刊 | SENSORS
 |
| EISSN | 1424-8220 |
| 出版年 | 2023 |
| 卷号 | 23期号:22 |
| 英文摘要 | Land desertification is one of the serious ecological and environmental problems facing mankind today, which threatens the survival and development of human society. China is one of the countries with the most serious land desertification problems in the world. Therefore, it is of great theoretical value and practical significance to carry out accurate identification and monitoring of land desertification and its influencing factors in ecologically fragile areas of China. This is conducive to curbing land desertification and ensuring regional ecological security. Minqin County, Gansu Province, located in northwestern China, is one of the most serious areas of land desertification, which is also one of the four sandstorm sources in China. Based on ENVINet5, this paper constructs a high-precision land desertification identification method with an accuracy of 93.71%, which analyzes the trend and reasons of land desertification in this area, provides suggestions for disaster prevention in Minqin County. and provides a reference for other similar areas to make corresponding desertification control policies. |
| 英文关键词 | desertification land classification fine classification deep learning influencing factors |
| 类型 | Article |
| 语种 | 英语 |
| 开放获取类型 | gold, Green Published |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:001113323900001 |
| WOS关键词 | GANSU PROVINCE ; MINQIN DESERT ; WATER ; OASIS ; RESOURCES |
| WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/398640 |
| 推荐引用方式 GB/T 7714 | Yang, Jingyi,Wang, Qinjun,Chang, Dingkun,et al. A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5[J],2023,23(22). |
| APA | Yang, Jingyi,Wang, Qinjun,Chang, Dingkun,Xu, Wentao,&Yuan, Boqi.(2023).A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5.SENSORS,23(22). |
| MLA | Yang, Jingyi,et al."A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5".SENSORS 23.22(2023). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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