Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery | |
He, Li1,2; Li, Ainong1; Yin, Gaofei1,3; Nan, Xi1; Bian, Jinhu1 | |
刊名 | REMOTE SENSING |
2019 | |
卷号 | 11期号:13页码:1597 |
关键词 | aboveground biomass (AGB) grassland PROSAIL MCD43A4 |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs11131597 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | The estimation of aboveground biomass (AGB), an important indicator of grassland production, is crucial for evaluating livestock carrying capacity, understanding the response and feedback to climate change, and achieving sustainable development. Most existing grassland AGB estimation studies were based on empirical methods, in which field measurements are indispensable, hindering their operational use. This study proposed a novel physically-based grassland AGB retrieval method through the inversion of PROSAIL model against MCD43A4 imagery. This method relies on the basic understanding that grassland is herbaceous, and therefore AGB can be represented as the product of leaf dry matter content (Cm) and leaf area index (LAI), i.e., AGB = Cm x LAI. First, the PROSAIL model was parameterized according to the literature regarding grassland parameters retrieval, then Cm and LAI were retrieved using a lookup table (LUT) algorithm, finally, the retrieved Cm and LAI were multiplied to obtain the AGB. The method was assessed in Zoige Plateau, China. Results show that it could reproduce the reference AGB map, which is generated by upscaling the field measurements, in terms of magnitude (with RMSE and R-RMSE of 60.06 gm(-2) and 18.1%, respectively) and spatial distribution. The estimated AGB time series also agreed reasonably well with the expected temporal dynamic trends of the grassland in our study area. The greatest advantage of our method is its fully physical nature, i.e., no field measurement is needed. Our method has the potential for operational monitoring of grassland AGB at regional and even larger scales. |
语种 | 英语 |
WOS记录号 | WOS:000477049000088 |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/26777] |
专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
通讯作者 | Li, Ainong |
作者单位 | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 100049, Sichuan, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | He, Li,Li, Ainong,Yin, Gaofei,et al. Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery[J]. REMOTE SENSING,2019,11(13):1597. |
APA | He, Li,Li, Ainong,Yin, Gaofei,Nan, Xi,&Bian, Jinhu.(2019).Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery.REMOTE SENSING,11(13),1597. |
MLA | He, Li,et al."Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery".REMOTE SENSING 11.13(2019):1597. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论