干旱区生态环境知识资源中心(Arid): Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period

Arid

DOI	10.3390/ijgi8120547
	Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period
	Wang, Ting; Qu, Yonghua; Xia, Ziqing; Peng, Yiping; Liu, Zhenhua
通讯作者	Liu, ZH (corresponding author), South China Agr Univ, Coll Nat Resources & Environm, Guangzhou 510642, Peoples R China.
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2019
卷号	8 期号:12
英文摘要	Leaf area index (LAI) is one of the most important canopy structure parameters utilized in process-based models of climate, hydrology, and biogeochemistry. In order to determine the reliability and applicability of satellite LAI products, it is critical to validate satellite LAI products. Due to surface heterogeneity and scale effects, it is difficult to validate the accuracy of LAI products. In order to improve the spatio-temporal accuracy of satellite LAI products, we propose a new multi-scale LAI product validation method based on a crop growth cycle. In this method, we used the PROSAIL model to derive Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LAI data and Gaofen-1 (GF-1) for the study area. The Empirical Bayes Kriging (EBK) interpolation method was used to perform a spatial multi-scale transformation of Moderate Resolution Imaging Spectroradiometer (MODIS) LAI products, GF-1 LAI data, and ASTER LAI data. Finally, MODIS LAI satellite products were compared with field measured LAI data, GF-1 LAI data, and ASTER LAI data during the growing season of crop field. This study was conducted in the agricultural oasis area of the middle reaches of the Heihe River Basin in northwestern China and the Conghua District of Guangzhou in Guangdong Province. The results suggest that the validation accuracy of the multi-scale MODIS LAI products validated by ASTER LAI data were higher than those of the GF-1 LAI data and the reference field measured LAI data, showing a R-2 of 0.758 and relative mean square error (RRMSE) of 28.73% for 15 m ASTER LAI and a R-2 of 0.703 and RRMSE of 30.80% for 500 m ASTER LAI, which imply that the 15 m MODIS LAI product generated by the EBK method was more accurate than the 500 m and 8 m products. This study provides a new validation method for satellite remotely sensed products.
英文关键词	multi-scale LAI product validation PROSAIL model EBK crop growth period
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000518041800026
WOS关键词	LEAF-AREA INDEX ; RESOLUTION LAI ; ENERGY FLUXES ; LANDSAT ; FOREST ; SOIL
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369755
作者单位	[Wang, Ting; Xia, Ziqing; Peng, Yiping; Liu, Zhenhua] South China Agr Univ, Coll Nat Resources & Environm, Guangzhou 510642, Peoples R China; [Qu, Yonghua] Beijing Normal Univ & Inst Remote Sensing Applica, Beijing 100875, Peoples R China; [Qu, Yonghua] Beijing Normal Univ, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China; [Qu, Yonghua] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Wang, Ting,Qu, Yonghua,Xia, Ziqing,et al. Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period[J]. 北京师范大学,2019,8(12).
APA	Wang, Ting,Qu, Yonghua,Xia, Ziqing,Peng, Yiping,&Liu, Zhenhua.(2019).Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(12).
MLA	Wang, Ting,et al."Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.12(2019).