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Remote Sensing for Natural Resources    2025, Vol. 37 Issue (5) : 183-194     DOI: 10.6046/zrzyyg.2024285
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Comparative analysis of MuSyQ LAI，MODIS LAI，and GLASS LAI exemplified by Anhui Province
ZHAO Ping1(), CHANG Jie1, ZHOU Jun1, WU Song1, SHEN Ao1, CHU Boce2()
1. College of Resource and Environmental Engineering，Hefei University of Technology，Hefei 230009，China
2. Fifty-fourth Research Institute of China Electronics Technology Group Corporation，Shijiazhuang 050000，China
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Abstract  

The leaf area index （LAI） serves as an important parameter for investigating the global carbon cycle，water cycle，energy exchange，and climate change. At present，there are multiple LAI products with different time series and resolutions. Comparative analysis of these products can not only reveal their suitability in various regions，but also provide suggestions for optimizing their algorithms. Focusing on the typical areas in Anhui province，this study compared and assessed the spatiotemporal consistency of MuSyQ LAI，MODIS LAI，and GLASS LAI products from the perspective of their capacity to characterize the spatiotemporal characteristics of vegetation. The results indicate that the spatial distribution of LAI obtained from the three products was consistent with the spatial distribution of vegetation，revealing good spatial consistency. However，there existed differences in LAI values and spatial heterogeneity. To be specific，the MODIS LAI displayed generally higher values than the other two products. The MuSyQ LAI exhibited lower values than the GLASS LAI in cultivated land and deciduous broad-leaved forests，but higher values in evergreen forests. As spatial resolution increases，the three products all showed better spatial details，with the MuSyQ LAI featuring the most pronounced spatial heterogeneity in land cover distribution. As the elevation varies，the MODIS LAI and GLASS LAI values vary in a consistent pattern，while the MuSyQ LAI value varies in a different pattern. The three products presented altitude-varying LAI values at low-altitude areas，whereas they showed varying change patterns at high-altitude areas across different sample areas. Temporally，the three products presented relatively complete time-series curves of the annual average LAI value over the years and similar seasonal trends，which can effectively characterize the phenological characteristics of crops and the seasonal variations of different plants. Overall，the three products exhibited good spatiotemporal consistency，all of which can reflect the spatial distribution and temporal changes of vegetation. However，they were different in the LAI value and spatial heterogeneity. Among them，the MuSyQ LAI is more suitable for investigating inter-annual changes in areas featuring complex terrains and high heterogeneity in land cover distribution，while the GLASS LAI is more suitable for long-time-series studies in large areas.
Keywords leaf area index （LAI）      vegetation type      spatiotemporal consistency      Anhui Province     
ZTFLH:  TP79  
Issue Date: 28 October 2025
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Ping ZHAO
Jie CHANG
Jun ZHOU
Song WU
Ao SHEN
Boce CHU
Cite this article:   
Ping ZHAO,Jie CHANG,Jun ZHOU, et al. Comparative analysis of MuSyQ LAI，MODIS LAI，and GLASS LAI exemplified by Anhui Province[J]. Remote Sensing for Natural Resources, 2025, 37(5): 183-194.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2024285     OR     https://www.gtzyyg.com/EN/Y2025/V37/I5/183
样区
编号		 位置 高程/m 地貌区 主要植被
类型
Ⅰ 蚌埠市、
宿州市		 3~88 淮河平原区 雨养耕地
Ⅱ 六安市 16~87 江淮台地丘陵区 灌溉耕地
Ⅲ 合肥市、
芜湖市		 1~225 沿江平原区 灌溉耕地
Ⅳ 六安市、
安庆市		 125~1 759 皖西山地丘陵区 落叶阔叶林
Ⅴ 宣城市 12~1 126 皖南山地丘陵区 常绿阔叶林
Ⅵ 黄山市 73~1 065 皖南山地丘陵区 常绿针叶林
Tab.1  Overview of various districts
Fig.1  Schematic overview of the study area
名称 时间分辨率/d 空间分辨率/m 时间范围 区域 主要算法
MOD15A2H 8 500 2000—2022年 全球 三维辐射传输模型构建查找表
GLASS 8 250 2000—2021年 全球 双向长短期记忆时间循环神经网络
MuSyQ 10 16 2018—2020年 中国 三维随机辐射传输模型构造查找表
Tab.2  Main features of LAI products
Fig.2  Spatial distribution of annual average LAI in January for each product
Fig.3  Spatial distribution of annual average LAI in July for each product
样区编号 LAI产品 最大值 最小值 平均值 标准差
Ⅰ MODIS 7.0 0.9 4.0 1.1
GLASS 5.0 0.9 3.2 0.4
MuSyQ 7.0 0.0 2.2 1.3
Ⅱ MODIS 7.0 1.3 4.5 1.3
GLASS 5.1 1.0 3.5 0.5
MuSyQ 7.0 0.0 2.9 1.4
Ⅲ MODIS 7.0 1.3 3.3 1.1
GLASS 5.7 1.0 3.0 0.5
MuSyQ 7.0 0.0 2.3 1.3
Ⅳ MODIS 7.0 1.9 6.0 0.7
GLASS 6.4 1.7 5.2 0.5
MuSyQ 7.0 0.0 4.7 1.5
Ⅴ MODIS 7.0 1.4 6.0 1.0
GLASS 6.8 0.7 4.9 0.7
MuSyQ 7.0 0.0 5.3 2.0
Ⅵ MODIS 7.0 2.4 6.3 0.7
GLASS 6.8 1.4 5.0 0.5
MuSyQ 7.0 0.0 5.7 1.8
Tab.3  Statistical characteristic values of various products in different regions in July
样区
编号		 LAI产品 雨养
耕地		 灌溉
耕地		 常绿阔
叶林		 落叶阔
叶林		 常绿针
叶林		 草地 灌木
地
Ⅰ MODIS 4.0 3.8 4.1 - - 3.1 -
GLASS 3.2 3.0 3.1 - - 2.4 -
MuSyQ 2.2 1.5 3.0 - - 1.1 -
Ⅱ MODIS 4.3 4.5 4.6 4.8 5.9 3.7 -
GLASS 3.4 3.5 3.7 3.7 3.2 2.9 -
MuSyQ 2.7 2.9 3.2 3.1 2.7 1.5 -
Ⅲ MODIS 3.1 3.3 4.0 3.9 5.2 3.2 -
GLASS 2.9 3.0 3.6 3.7 4.0 2.7 -
MuSyQ 1.9 2.3 3.5 3.3 4.4 1.5 -
Ⅳ MODIS 5.2 4.2 5.9 6.1 6.1 5.4 -
GLASS 4.1 3.6 4.9 5.2 5.1 4.2 -
MuSyQ 2.6 1.7 4.4 4.7 3.5 2.5 -
Ⅴ MODIS 3.8 3.3 6.0 5.9 6.1 5.6 -
GLASS 3.2 2.8 4.9 5.1 5.2 3.7 -
MuSyQ 1.9 1.5 5.3 4.8 4.5 2.1 -
Ⅵ MODIS 6.0 5.6 6.3 6.2 6.3 5.5 6.4
GLASS 4.1 3.7 5.1 5.0 5.0 3.4 5.2
MuSyQ 3.1 2.4 5.1 5.0 5.8 1.6 5.3
Tab.4  Annual average LAI values of various products in different vegetation types in various regions in July
样区编号 LAI产品 SHDI SHEI
Ⅰ MODIS 1.11 0.63
GLASS 0.82 0.51
MuSyQ 1.37 0.86
Ⅱ MODIS 1.51 0.74
GLASS 0.86 0.53
MuSyQ 1.74 0.84
Ⅲ MODIS 1.27 0.55
GLASS 0.89 0.50
MuSyQ 1.48 0.71
Ⅳ MODIS 1.24 0.69
GLASS 1.07 0.66
MuSyQ 1.84 0.88
Ⅴ MODIS 1.51 0.77
GLASS 1.40 0.71
MuSyQ 1.83 0.88
Ⅵ MODIS 1.02 0.57
GLASS 0.89 0.46
MuSyQ 1.76 0.84
Tab.5  Shannon diversity index and Shannon uniformity index of each product in various regions in July
Fig.4  Spatial distribution of the two-by-two differences between the annual averages of the three LAI products for the month of July
Fig.5  Frequency distribution of the difference between the July annual means of MODIS LAI，GLASS LAI and MuSyQ LAI
Fig.6  LAI change rule diagram with elevation
植被类型 [0，150]m （150，300]m （300，450]m （450，600]m （600，750]m （750，900]m （900，1 050]m
雨养耕地 30.76 14.81 10.25 9.28 8.12 5.74 1.63
灌溉耕地 5.88 3.15 1.25 0.90 0.91 0.32 0.02
常绿阔叶林 33.87 47.12 44.69 38.62 32.24 27.07 18.94
落叶阔叶林 27.63 30.55 39.94 45.18 51.78 58.85 71.14
常绿针叶林 0.00 1.75 2.63 5.00 6.46 7.70 8.19
草地 1.86 2.61 1.24 1.02 0.51 0.31 0.08
Tab.6  Distribution area ratio of different vegetation types in different elevation sections of sample area IV （%）
植被类型 [0，150]m （150，300]m （300，450]m （450，600]m （600，750]m （750，900]m （900，1 050]m
雨养耕地 26.82 5.85 0.62 0.08 0.05 0.00 0.00
灌溉耕地 16.80 0.93 0.02 0.00 0.00 0.00 0.00
常绿阔叶林 47.35 73.42 69.95 61.58 53.29 39.46 61.53
落叶阔叶林 3.74 7.49 9.69 16.09 25.60 44.89 28.89
常绿针叶林 3.95 11.40 19.43 22.18 20.99 15.59 9.56
草地 1.34 0.91 0.29 0.06 0.07 0.07 0.02
Tab.7  Distribution area ratio of different vegetation types in different elevation segments of sample area V （%）
植被类型 [0，150]m （150，300]m （300，450]m （450，600]m （600，750]m （750，900]m （900，1 050]m
雨养耕地 13.74 6.12 1.03 0.11 0.00 0.00 0.00
灌溉耕地 6.72 2.84 0.29 0.01 0.00 0.00 0.00
常绿阔叶林 26.70 31.41 35.81 36.60 36.15 30.74 35.37
落叶阔叶林 2.37 2.73 3.45 6.62 11.88 25.23 38.80
常绿针叶林 49.91 56.30 59.01 56.46 51.86 44.00 25.83
灌木丛 0.56 0.60 0.41 0.20 0.11 0.03 0.00
Tab.8  Distribution area ratio of different vegetation types in different elevation segments of sample area VI （%）
Fig.7  Multi-year average LAI time series variation
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