Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands
文献类型：期刊论文
| 作者 | Zhang, Jianshuang; Zhang, Yangjian; Cong, Nan; Tian, Li; Zhao, Guang; Zheng, Zhoutao; Gao, Jie; Zhu, Yixuan; Zhang, Yu |
| 刊名 | FRONTIERS IN PLANT SCIENCE
 |
| 出版日期 | 2023-05-17 |
| 卷号 | 14页码:1129665 |
| 关键词 | vegetation greening NDVI ecological engineering projects Google Earth Engine Chinese drylands |
| DOI | 10.3389/fpls.2023.1129665 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The warming-wetting climates in Chinese drylands, together with a series of ecological engineering projects, had caused apparent changes to vegetation therein. Regarding the vegetation greening trend, different remote sensing data had yielded distinct findings. It was critical to evaluate vegetation dynamics in Chinese drylands using a series of remote sensing data. By comparing the three most commonly used remote sensing datasets [i.e., MODIS, Advanced Very High Resolution Radiometer (AVHRR), and Landsat], this study comprehensively investigated vegetation dynamics for Chinse drylands. All three remote sensing datasets exhibited evident vegetation greening trends from 2000 to 2020 in Chinese drylands, especially in the Loess Plateau and Northeast China. However, Landsat identified the largest greening areas (89.8%), while AVHRR identified the smallest greening area (58%). The vegetation greening areas identified by Landsat comprise more small patches than those identified by MODIS and AVHRR. The MODIS data exhibited a higher consistency with Landsat than with AVHRR in terms of detecting vegetation greening areas. The three datasets exhibited high consistency in identifying vegetation greening in Northeast China, Loess Plateau, and Xinjiang. The percentage of inconsistent areas among the three datasets was 39.56%. The vegetation greening areas identified by Landsat comprised more small patches. Sensors and the atmospheric effect are the two main reasons responsible for the different outputs from each NDVI product. Ecological engineering projects had a great promotion effect on vegetation greening, which can be detected by the three NDVI datasets in Chinese drylands, thereby combating desertification and reducing dust storms. |
| 学科主题 | Plant Sciences |
| WOS关键词 | NORTHWEST CHINA ; CLIMATE-CHANGE ; SEMIARID ECOSYSTEMS ; VEGETATION GROWTH ; LOESS PLATEAU ; UNITED-STATES ; TREND ; EARTH ; DEGRADATION ; VARIABILITY |
| WOS研究方向 | Plant Sciences |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193800]  |
| 专题 | 拉萨站高原生态系统研究中心_外文论文 |
| 作者单位 | 1.University of Chinese Academy of Sciences, CAS 2.Institute of Geographic Sciences & Natural Resources Research, CAS 3.Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Zhang, Jianshuang,Zhang, Yangjian,Cong, Nan,et al. Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands[J]. FRONTIERS IN PLANT SCIENCE,2023,14:1129665. |
| APA | Zhang, Jianshuang.,Zhang, Yangjian.,Cong, Nan.,Tian, Li.,Zhao, Guang.,...&Zhang, Yu.(2023).Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands.FRONTIERS IN PLANT SCIENCE,14,1129665. |
| MLA | Zhang, Jianshuang,et al."Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands".FRONTIERS IN PLANT SCIENCE 14(2023):1129665. |
入库方式： OAI收割
来源：地理科学与资源研究所
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