期刊论文详细信息
Statistical Analysis and Data Mining | |
A scalable gaussian process analysis algorithm for biomass monitoring | |
Ranga Raju Vatsavai1  Varun Chandola1  | |
[1] Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830 | |
关键词: biomass monitoring; Gaussian process; scalability; | |
DOI : 10.1002/sam.10129 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: John Wiley & Sons, Inc. | |
【 摘 要 】
Abstract Biomass monitoring is vital for studying the carbon cycle of earth's ecosystem and has several significant implications, especially in the context of understanding climate change and its impacts. Recently, several change detection methods have been proposed to identify land cover changes in temporal profiles (time series) of vegetation collected using remote sensing instruments, but do not satisfy one or both of the two requirements of the biomass monitoring problem, that is, operating.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201904041527067ZK.pdf | 55KB | download |