Vegetation coverage of desert ecosystems in the Qinghai-Tibet Plateau is underestimated
文献类型：期刊论文
| 作者 | Geng, Xin2,3; Wang, Xunming2,3; Fang, Hongliang2; Ye, Jiansheng1; Han, Likun2,3; Gong, Yuan2,3; Cai, Diwen2,3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 137页码:12 |
| 关键词 | Fractional vegetation coverage (FVC) Unmanned aerial vehicle (UAV) Boosted regression tree model (BRT) Desert ecosystem Qinghai-Tibet Plateau |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2022.108780 |
| 通讯作者 | Wang, Xunming(xunming@igsnrr.ac.cn) |
| 英文摘要 | Accurate fractional vegetation coverage (FVC) detection is beneficial for evaluating the dynamics and development potential of desert ecosystem. However, at present the performance of the related published products in the Qinghai-Tibet Plateau (QTP)'s desert ecosystem has not been verified, and the method for extracting FVC for this region from unmanned aerial vehicle (UAV) RGB images has also not been tested. UAV RGB images were processed via a boosted regression tree model (BRT). 57 ground measurements were collected, and were further paired with vegetation indexes (VIs) from satellite sensors to develop an empirical model that was used to evaluate FVC of QTP's desert ecosystem. The results showed that: (1) BRT effectively enhanced the vegetation information in UAV RGB images and improved the accuracy of FVC ground measurements (the area under the receiver operating characteristic curve (AUC) = 0.95, kappa > 0.95); (2) The relationship between FVC and modified soil-adjusted vegetation index (MSAVI) was most robust in QTP's desert ecosystem, and a power model (FVC = 13.85 x MSAVI(2.07), R-2 = 0.89, RMSE < 0.01) was proposed to derive local FVC within an area of 1.05 x 106 km(2); (3) Although the current published FVC products show spatial consistency in QTP's desert ecosystem, FVC was underestimated by these products by at least 29% compared with the FVC values derived from the power model determined in this study. |
| WOS关键词 | VALIDATION ; FAPAR ; SOIL ; LAI ; REFLECTANCE ; PRINCIPLES ; RETRIEVAL ; VARIABLES ; NETWORKS ; PRODUCTS |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0305] ; National Natural Science Foundation of China[41930640] ; Key Frontier Program of Chinese Academy of Sciences[QYZDJ-SSW-DQC043] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000792779800001 |
| 出版者 | ELSEVIER |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research ; National Natural Science Foundation of China ; Key Frontier Program of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/177588]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Xunming |
| 作者单位 | 1.Lanzhou Univ, Sch Life Sci, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Geng, Xin,Wang, Xunming,Fang, Hongliang,et al. Vegetation coverage of desert ecosystems in the Qinghai-Tibet Plateau is underestimated[J]. ECOLOGICAL INDICATORS,2022,137:12. |
| APA | Geng, Xin.,Wang, Xunming.,Fang, Hongliang.,Ye, Jiansheng.,Han, Likun.,...&Cai, Diwen.(2022).Vegetation coverage of desert ecosystems in the Qinghai-Tibet Plateau is underestimated.ECOLOGICAL INDICATORS,137,12. |
| MLA | Geng, Xin,et al."Vegetation coverage of desert ecosystems in the Qinghai-Tibet Plateau is underestimated".ECOLOGICAL INDICATORS 137(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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