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- W2534370167 abstract "ABSTRACTAlthough leaf area index (LAI) is one of the essential parameters employed to monitor global vegetation, no global LAI products which use a fine spatial resolution yet exist. To remedy this, we herein outline an adapted LAI retrieval algorithm which employs HuanJing-1 charge-coupled device (HJ-1 CCD) data, which was originally determined using Landsat thematic mapper (TM) data. Validation of this adapted LAI retrieval algorithm via field measurements demonstrates that errors for ∼72% of the sample sites were within a range of 0.2 for the Bashang Grassland in Hebei Province, and within 1.0 for the Taihe region in Jiangxi Province. In addition, the correlation coefficients (R) of HJ-1 LAI and ground-measured LAI data were similar to those of MODIS LAI and ground-measured LAI datasets for both regions. These results demonstrate the potential for transposing a mature Landsat LAI-retrieval algorithm to HJ-1 data. Furthermore, we generated 30 m HJ-1 LAI datasets for China for the summer of 2012. An anal..." @default.
- W2534370167 created "2016-10-28" @default.
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- W2534370167 date "2016-10-17" @default.
- W2534370167 modified "2023-09-27" @default.
- W2534370167 title "Retrieval and application of leaf area index over China using HJ-1 data" @default.
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- W2534370167 doi "https://doi.org/10.1080/19475705.2016.1238854" @default.
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