干旱区生态环境知识资源中心(Arid): Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area

Arid

	Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area
	Liu Qiuyu; Zhang Tinglong; Li Yizhe; Li Ying; Bu Chongfeng; Zhang Qingfeng
来源期刊	Chinese Geographical Science
ISSN	1002-0063
出版年	2019
卷号	29 期号:1 页码:166-180
英文摘要	The estimation of fractional vegetation cover (FVC) is important for identifying and monitoring desertification, especially in arid and semiarid regions. By using regression and pixel dichotomy models, we present the comparison of Sentinel-2A (S2) multispectral instrument (MSI) and Landsat 8 (L8) operational land imager (OLI) data regarding the retrieval of FVC in a semi-arid sandy area (Mu Us Sandland, China, in August 2016). A combination of unmanned aerial vehicle (UAV) high-spatial-resolution images and field plots were used to produce verified data. Based on a normalized difference vegetation index (NDVI) regression model, the results showed that, compared with that of L8, the coefficient of determination (R~2) of S2 increased by 26.0%, and the root mean square error (RMSE) and the sum of absolute error (SAE) decreased by 3.0% and 11.4%, respectively. For the ratio vegetation index (RVI) regression model, compared with that of L8, the R2 of S2 increased by 26.0%, and the RMSE and SAE decreased by 8.0% and 20.0%, respectively. When the pixel dichotomy model was used, compared with that of L8, the RMSE of S2 decreased by 21.3%, and the SAE decreased by 26.9%. Overall, S2 performed better than L8 in terms of FVC inversion. Additionally, in this paper, we develop a verified scheme based on UAV data in combination with the object-based classification method. This scheme is feasible and sufficiently robust for building relationships between field data and inversion results from satellite data. Further, the synergy of multi-source sensors (especially UAVs and satellites) is a potential effective way to estimate and evaluate regional ecological environmental parameters (FVC).
英文关键词	fractional vegetation cover (FVC) Sentinel-2A (S2) unmanned aerial vehicle (UAV) image pixel dichotomy model regression model
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6410417
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336059
作者单位	Liu Qiuyu, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.; Zhang Tinglong, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.; Li Yizhe, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.; Li Ying, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.; Zhang Qingfeng, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.; Bu Chongfeng, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China.
推荐引用方式 GB/T 7714	Liu Qiuyu,Zhang Tinglong,Li Yizhe,et al. Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area[J],2019,29(1):166-180.
APA	Liu Qiuyu,Zhang Tinglong,Li Yizhe,Li Ying,Bu Chongfeng,&Zhang Qingfeng.(2019).Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area.Chinese Geographical Science,29(1),166-180.
MLA	Liu Qiuyu,et al."Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area".Chinese Geographical Science 29.1(2019):166-180.