干旱区生态环境知识资源中心(Arid): Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape

Arid

DOI	10.3390/rs14122829
	Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape
	Lian, Jie; Gong, Xiangwen; Wang, Xinyuan; Wang, Xuyang; Zhao, Xueyong; Li, Xin; Su, Na; Li, Yuqiang
通讯作者	Li, YQ
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:12
英文摘要	Northern China's agropastoral ecotone has been a key area of desertification control for decades, and digital maps of its soil organic carbon (SOC) stocks are needed to reveal the gaps between the actual SOC levels and baseline to support land degradation neutrality (LDN) under the Sustainable Development Goals. However, reliable soil information is scarce, and accurate prediction is hindered by the fragmented landscape, which is a dominant characteristic of desertified land. To improve the patchiness identification and accuracy of SOC prediction, we conducted field surveys and collected low-altitude aerial images along the desertification degrees (severe and extremely severe, moderate, slight) in the Horqin Sandy Land. Linear regressions were performed on the relationships between the normalized difference vegetation index and the fractional vegetation cover (FVC) extracted from aerial images, and regression kriging was applied to predict SOC stocks based on the soil-forming factors (vegetation, climate, and topography). Our prediction and cross-validation showed that the fragmented structure and prediction accuracy of SOC stocks were both greatly improved for desertified land. The FVC (R-c(2) = 0.94) and evapotranspiration (R-c(2) = 0.86) had significant positive effects on SOC stocks, respectively, with indirect and direct causal relationships. Our results could provide soil information with better patchiness and accuracy to help policymakers determine the future LDN status in this fragmented desertification landscape. As drone technology becomes more available, it will fully support digital mapping of soil properties.
英文关键词	unmanned aerial vehicle fractional vegetation cover soil organic carbon density patchiness digital soil mapping
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000816078800001
WOS关键词	LAND DEGRADATION NEUTRALITY ; HORQIN SANDY LAND ; ALPINE GRASSLAND ; MATTER DECOMPOSITION ; NITROGEN ; ACCUMULATION ; CHINA ; INFORMATION ; TEMPERATURE ; PREDICTION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394156
推荐引用方式 GB/T 7714	Lian, Jie,Gong, Xiangwen,Wang, Xinyuan,et al. Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape[J],2022,14(12).
APA	Lian, Jie.,Gong, Xiangwen.,Wang, Xinyuan.,Wang, Xuyang.,Zhao, Xueyong.,...&Li, Yuqiang.(2022).Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape.REMOTE SENSING,14(12).
MLA	Lian, Jie,et al."Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape".REMOTE SENSING 14.12(2022).