研究目的
To validate the GLASS phase-2 surface broadband albedo product with the FLUXNET 2015 dataset and compare its accuracy with currently widely used surface albedo datasets.
研究成果
The GLASS phase-2 surface broadband albedo product has a reasonable good accuracy compared with currently widely used surface albedo datasets and can provide more reliable albedo estimations at seasonal snowfall and snowmelt regions. It is a long-term, globally covered dataset applicable in various scenarios of SRB and climate change studies.
研究不足
The spatial resolution of satellite observations (1 km) is not consistent with the footprint of FLUXNET measurements (less than 100 m), which may affect the validation accuracy.
1：Experimental Design and Method Selection:
The study validates the GLASS phase-2 surface broadband albedo product using the FLUXNET 2015 dataset. The validation involves comparing the GLASS product with in situ measurements and the MODIS albedo product (MOD43B3).
2：3). Sample Selection and Data Sources:
2. Sample Selection and Data Sources: The FLUXNET 2015 dataset, collected from a global meteorological sensors network, was used for validation. 144 FLUXNET sites were employed.
3：List of Experimental Equipment and Materials:
The study utilized the GLASS phase-2 surface broadband albedo product, MODIS albedo product (MOD43B3), and FLUXNET 2015 dataset.
4：Experimental Procedures and Operational Workflow:
The shortwave surface albedo was derived from the FLUXNET measurements and compared with the GLASS and MODIS products.
5：Data Analysis Methods:
The accuracy of the GLASS product was assessed using R2 and root mean square error (RMSE) metrics.
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