Comparative Analysis of Fractional Vegetation Cover Estimation Based on Multi-sensor Data in a Semi-arid Sandy Area
文献类型：期刊论文
| 作者 | Liu, Qiuyu1; Zhang, Tinglong1; Li, Yizhe1; Li, Ying1; Bu, Chongfeng2; Zhang, Qingfeng1 |
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2019-02-01 |
| 卷号 | 29期号:1页码:166-180 |
| ISSN号 | 1002-0063 |
| 关键词 | fractional vegetation cover (FVC) Sentinel-2A (S2) unmanned aerial vehicle (UAV) image pixel dichotomy model regression model |
| DOI | 10.1007/s11769-018-1010-2 |
| 通讯作者 | Zhang, Tinglong(dargon810614@126.com) ; Bu, Chongfeng(buchongfeng@163.com) |
| 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 R-2 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). |
| WOS关键词 | SPECTRAL INDEXES ; SENTINEL-2 ; RANGELANDS ; IMAGERY |
| 资助项目 | National Natural Science Foundation of China[41301451] ; National Natural Science Foundation of China[41541008] ; Fundamental Research Funds for the Central Universities[2452018144] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:000455227500013 |
| 资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/50607]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Tinglong; Bu, Chongfeng |
| 作者单位 | 1.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R 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]. CHINESE GEOGRAPHICAL SCIENCE,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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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