The importance of measurement errors for deriving accurate reference leaf area index maps for validation of moderate-resolution satellite LAI products

2006 ◽  
Vol 44 (7) ◽  
pp. 1866-1871 ◽  
Author(s):  
Dong Huang ◽  
Wenze Yang ◽  
B. Tan ◽  
M. Rautiainen ◽  
Ping Zhang ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Measurement Errors ◽  
Area Index ◽  
Moderate Resolution ◽  
Index Maps

scholarly journals A Comparison of Leaf Area Index Maps Derived from Multi-Sensor Optical Data Acquired over Agricultural Areas

2010 ◽  
Vol 5 (2) ◽  
pp. 167 ◽  
Author(s):  
Giuseppe Satalino ◽  
Francesco Mattia ◽  
Anna Balenzano ◽  
Michele Rinaldi ◽  
Sergio Ruggieri ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Optical Data ◽  
Area Index ◽  
Agricultural Areas ◽  
Index Maps

Spatial scaling between leaf area index maps of different resolutions

2007 ◽  
Vol 85 (3) ◽  
pp. 628-637 ◽  
Author(s):  
Z. Jin ◽  
Q. Tian ◽  
J.M. Chen ◽  
M. Chen
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Spatial Scaling ◽  
Area Index ◽  
Index Maps

scholarly journals Long-Term Variation of Global GEOV2 and MODIS Leaf Area Index (LAI) and Their Uncertainties: An Insight into the Product Stabilities

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hongliang Fang ◽  
Yao Wang ◽  
Yinghui Zhang ◽  
Sijia Li
Keyword(s):  
Leaf Area Index ◽  
Product Quality ◽  
Leaf Area ◽  
Vegetation Change ◽  
Temporal Variations ◽  
Area Index ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Global Vegetation

Leaf area index (LAI) is an essential climate variable that is crucial to understand the global vegetation change. Long-term satellite LAI products have been applied in many global vegetation change studies. However, these LAI products contain various uncertainties that are not been fully considered in current studies. The objective of this study is to explore the uncertainties in the global LAI products and the uncertainty variations. Two global LAI datasets—the European Geoland2 Version 2 (GEOV2) and Moderate Resolution Imaging Spectroradiometer (MODIS) (2003-2019)—were investigated. The qualitative quality flags (QQFs) and quantitative quality indicators (QQIs) embedded in the product quality layers were analyzed to identify the temporal anomalies in the quality profile. The results show that the global GEOV2 (0.042/10a) and MODIS (0.034/10a) LAI values have steadly increased from 2003 to 2019. The global LAI uncertainty (0.016/10a) and relative uncertainty (0.3%/10a) from GEOV2 have also increased gradually, especially during the growing season from April to October. The uncertainty increase is larger for woody biomes than for herbaceous types. Contrastingly, the MODIS LAI product uncertainty remained stable over the study period. The uncertainty increase indicated by GEOV2 is partly attributed to the sensor shift in the product series. Further algorithm enhancement is necessary to improve the cross-sensor performance. This study highlights the importance of studying the LAI uncertainty and the uncertainty variation. Temporal variations in the LAI products and the product quality revealed herein have significant implications on global vegetation change studies.

Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China

2019 ◽  
Vol 233 ◽  
pp. 111377 ◽  
Author(s):  
Hongliang Fang ◽  
Yinghui Zhang ◽  
Shanshan Wei ◽  
Wenjuan Li ◽  
Yongchang Ye ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Northeastern China ◽  
Area Index ◽  
Moderate Resolution
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