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您的检索式：作者名="DOU BaoCheng"
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| 1 | Multi-scale validation strategy for satellite albedo products and its uncertainty analysis显示文摘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 with in situ measurements. The key issue in the comparison of remote sensing observations with in situ measurements 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. | PENG JingJing LIU Qiang WEN JianGuang LIU QinHuo TANG Yong WANG LiZhao DOU BaoCheng YOU DongQin SUN ChangKui ZHAO XiaoJie FENG YouBin SHI Jian | 2015 | Science China Earth Sciences2015，58，4： | 5 |
| 2 | Upscaling in situ albedo for validation of coarse scale albedo product over heterogeneous surfaces显示文摘One of the essential steps for satellite albedo validation is upscaling in situ measurements to corresponding pixel scale over relatively heterogeneous land surfaces.Although the multi-scale validation strategy is applicable for heterogeneous surfaces,the calibration of the high-resolution imagery during upscaling process is never perfect,and thus the upscaling results suffer from errors.The regression-kriging(RK)technique can compensate the calibration part by applying kriging to upscale residuals and produce more accurate upscaling results.In this paper,in situ measurements and high spatial resolution albedo imagery combined with RK technique was proposed.This method is illustrated by upscaling surface albedo from in situ measurements scale to the coarse pixel scale in the core experimental area of HiWATER,where 17 WSN nodes were deployed at heterogeneous area.The upscaling results of this method were compared with the upscaling results from multi-scale strategy.The results show that the upscaling method based on in situ measurements and high-resolution imagery combined with RK technique can capture the spatial characteristics of surface albedo better.Further,an attempt was made to expand this method in time series.Finally,a preliminary validation of the Moderate Resolution Imaging Spectroradiometer albedo product was performed as the tentative application. | Xiaodan Wu Qing Xiao Jianguang Wen Qiang Liu Dongqin You Baocheng Dou Yong Tang | 2017 | International Journal of Digital Earth2017，10，6： | 0 |
| 3 | A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product显示文摘Quantitative remote sensing product(QRSP)validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series.A web-based system named as LAnd surface remote sensing Product VAlidation system(LAPVAS)is described in this paper,which is used to implement the QRSPs validation process automatically.The LAPAVS has two subsystems,the Validation Databases Subsystem and the Accuracy Evaluation Subsystem.Three functions have been implemented by the two subsystems for a comprehensive QRSP validation:(1)a standardized processing of reference data and storage of these data in validation databases;(2)a consistent and comprehensive validation procedure to assess the QRSPs’accuracy and uncertainty;and(3)a visual process customization tool with which the users can register new validation data,host new reference data,and readjust the validation workflows for the QRSP accuracy assessment.In LAPVAS,more than 100 GB of reference data warehoused in validation databases for 13 types of QRSPs’validation.One of the key QRSPs,land surface albedo,is selected as an example to illustrate the application of LAPVAS.It is demonstrated that the LAPVAS has a good performance in the land surface remote sensing product validation. | Xingwen Lin Jianguang Wen Yong Tang Mingguo Ma Dongqin You Baocheng Dou Xiaodan Wu Xiaobo Zhu Qing Xiao Qinghuo Liu | 2018 | International Journal of Digital Earth2018，11，3： | 0 |
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