Multi-scale validation strategy for satellite albedo products and its uncertainty analysis
Multi-scale validation strategy for satellite albedo products and its uncertainty analysis
复制标题
卫星反照率产品多尺度验证策略及其不确定性分析
DOI:
10.1007/s11430-014-4997-y
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Shi Jian
中科院分区:
文献类型:
--
作者:
Peng JingJing;Liu Qiang;Wen JianGuang;Liu QinHuo;Tang Yong;Wang LiZhao;Dou BaoCheng;You DongQin;Sun ChangKui;Zhao XiaoJie;Feng YouBin;Shi Jian
Coarse-resolution satellite albedo products are important for climate change and energy balance research because of their capability to characterize the spatiotemporal patterns of land surface parameters at both the regional and global scales. The accuracy of coarse-resolution products is usually assessed via comparison within situmeasurements. The key issue in the comparison of remote sensing observations within situmeasurements is scaling and uncertainty. This paper presents a strategy for validating 1-km-resolution remote sensing albedo products using field measurements and high-resolution remote sensing observations. Field measurements were collected to calibrate the high-resolution (30 m) albedo products derived from HJ-1a/b images. Then, the calibrated high-resolution albedo maps were resampled (i.e., upscaled) to assess the accuracy of the coarse-resolution albedo products. The samples of field measurements and high-resolution pixels are based on an uncertainty analysis. Two types of coarse-resolution albedo datasets, from global land surface satellite (GLASS) and moderate-resolution imaging spectroradiometer (MODIS), are validated over the middle reaches of the Heihe River in China. The results indicate that the upscaled HJ (Huan Jing means environment in Chinese and this refers to a satellite constellation designed for environment and disaster monitoring by China) albedo, which was calibrated using field measurements, can provide accurate reference values for validating coarse-resolution satellite albedo products. However, the uncertainties in the upscaled HJ albedo should be estimated, and pixels with large uncertainties should be excluded from the validation process.