Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces
文献类型：期刊论文
| 作者 | Li, Dandan4; Huang, Yajun4; Xiao, Yao4; He, Min3; Wen, Jianguang2; Li, Yuanqing4; Ma, Mingguo4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 15期号:5页码:1238 |
| 关键词 | leaf area index (LAI) MuSyQ LAI product GF-1 validation UAV image |
| DOI | 10.3390/rs15051238 |
| 文献子类 | Article |
| 英文摘要 | In recent years, the retrieval and validation of remotely-sensed leaf area index (LAI) products over complex land surfaces have received much attention due to the high-precision land surface model simulations and applications in global climate change. However, most of these related researches mainly focus on coarse resolution products. This is because few products have been specifically designed for solving the problems derived from complex land surfaces in mountain areas until now. MuSyQ LAI is a new product derived from Gaofen-1 (GF-1) satellite data. This product is characterized with a temporal resolution of 10 days and a spatial resolution of 16 m. As is well known, high-resolution products have less uncertainties because of the homogeneities of sub-pixel. Therefore, to evaluate the precision and uncertainty of MuSyQ LAI, an up-scaling strategy was employed here to validate MuSyQ LAI for three mountain regions in Southwest China. The validation strategy can be divided into three parts. First, a regression model was built by in situ LAI measured by LAI-2200 and the normalized difference vegetation index (NDVI) from unmanned aerial vehicle (UAV) images to obtain a 0.5 m resolution LAI map. Second, an up-scaled LAI map with a spatial resolution consistent with MuSyQ LAI was calculated by the pixel-averaging method from the UAV-based LAI map. Third, the MuSyQ LAI was validated by the up-scaled UAV-based LAI in pixel scale. Simultaneously, the sources of uncertainty were analyzed and compared from the view of data source, retrieval model, and scale effects. The results suggested that MuSyQ LAI in the study areas are significantly underestimated by 53.69% due to the complex terrain and heterogeneous land cover. There are three main reasons for the underestimation. The differences between GF-1 reflectance and UAV-based reflectance employed to estimate LAI are the largest factors for the validation results, even accounting for 61.47% of the total bias. Subsequently, the scale effects led to about 28.44% bias. Last but not least, the models employed to retrieve LAI contributed merely 10.09% uncertainties to the total bias. In conclusion, the accuracy of MuSyQ LAI still has a large space to be improved from the view of reflectance over complex terrain. This study is quite important for applications of MuSyQ LAI products and also provides a reference for the improvement and application of other high-resolution remotely sensed LAI products. |
| WOS关键词 | LEAF-AREA INDEX ; QUANTIFYING SPATIAL HETEROGENEITY ; GLOBAL PRODUCTS ; MODIS ; VALIDATION ; VEGETATION ; REFLECTANCE ; MULTISOURCE ; FRACTION ; PAR |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000948054400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200723]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, China Univ Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100049, Peoples R China 3.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Sch Geog Sci, Chongqing 400715, Peoples R China 4.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Dandan,Huang, Yajun,Xiao, Yao,et al. Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces[J]. REMOTE SENSING,2023,15(5):1238. |
| APA | Li, Dandan.,Huang, Yajun.,Xiao, Yao.,He, Min.,Wen, Jianguang.,...&Ma, Mingguo.(2023).Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces.REMOTE SENSING,15(5),1238. |
| MLA | Li, Dandan,et al."Evaluation of the High-Resolution MuSyQ LAI Product over Heterogeneous Land Surfaces".REMOTE SENSING 15.5(2023):1238. |
入库方式： OAI收割
来源：地理科学与资源研究所
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