Sentinel-2 MSI and Sentinel-1 SAR based information extraction of abandoned land in the western Loess Plateau:A case study of Minhe County in Qinghai

ZHANG Hao; GAO Xiaohong; SHI Feifei; LI Runxiang

doi:10.6046/zrzyyg.2021385

2022 Vol. 34, No. 4

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Article navigation > Remote Sensing for Natural Resources > 2022 > 34(4): 144-154

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ZHANG Hao, GAO Xiaohong, SHI Feifei, LI Runxiang. 2022. Sentinel-2 MSI and Sentinel-1 SAR based information extraction of abandoned land in the western Loess Plateau:A case study of Minhe County in Qinghai. Remote Sensing for Natural Resources, 34(4): 144-154. doi: 10.6046/zrzyyg.2021385

Citation:

ZHANG Hao, GAO Xiaohong, SHI Feifei, LI Runxiang. 2022. Sentinel-2 MSI and Sentinel-1 SAR based information extraction of abandoned land in the western Loess Plateau:A case study of Minhe County in Qinghai. Remote Sensing for Natural Resources, 34(4): 144-154. doi: 10.6046/zrzyyg.2021385

Sentinel-2 MSI and Sentinel-1 SAR based information extraction of abandoned land in the western Loess Plateau:A case study of Minhe County in Qinghai

1. School of Geographical Sciences, Qinghai Normal University, Xining 810008, China；
2. MOE Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological, Xining 810008, China；
3. Qinghai Province Key Laboratory of Physical Geography and Environmental Process, Xining 810008, China；
4. Academy of Plateau Science and Sustainability, Xining 810008, China

Received Date: 16 November 2021

Revised Date: 15 December 2022

Publish Date: 27 December 2022

Abstract

Abstract

The eastern agricultural areas of Qinghai are located in the transitional zone from the Loess Plateau to the Qinghai-Tibet Plateau. In this transitional zone, the loess hills feature various landforms, large fluctuations, and fragmentation. With the acceleration of urbanization in recent decades, the shortage of available rural labor force has aggravated land abandonment. Therefore, ascertaining the distribution of abandoned land in the eastern agricultural areas of Qinghai is very crucial to protecting cultivated and ecological land. This study investigated Minhe County in Qinghai Province based on the GEE cloud platform. According to the phenological characteristics of crops, both Sentinel-2 MSI and Sentinel-1 SAR satellite images covering the growth and planting periods of crops were selected as the main data source. With the aid of the DEM and by combining the characteristics of spectra, terrain, polarization, and tasseled cap, this study automatically classified the land cover from 2018 to 2020 in the study area using the random forest method, obtaining the three-year land cover data of the study area. Then, this study built a decision tree based on the determination rules for abandoned land and extracted and verified the abandoned land information using the decision tree. The study results are as follows. The overall classification precision of land cover in 2018, 2019, and 2020 were 86.93%, 87.36%, and 88.54%, respectively. The area of abandoned land in Minhe County in 2020 was 43.17 km2, accounting for 2.28% of the total study area. The abandoned land was mainly distributed in areas with an altitude of 2 200~2 600 m, a slope of 6°~25°, and a shady slope direction. The integration of the polarization characteristics of Sentinel-1 SAR images into Sentinel-2 MSI multi-season images can effectively improve the land cover classification precision and yield accurate information on the abandoned land. This study will provide a reference method and basis for the information extraction of abandoned land in areas with similar terrain.
- abandoned land /
- Sentinel-1/2 satellite imagery /
- multi-season /
- random forests /
- western Loess Plateau /
- Minhe County

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References

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