from    
to    
search  

 


【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
好莱坞数据专家和制作逻辑的数据重塑
长视频平台趋势与洞察
清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
全球变化科学紫荆论坛第315期:Making large volume Landsat data ready to use
 报告人:
Dr. Hankui Zhang
South Dakota State University
报告时间:
2019-06-11 09:50
报告地点:
清华大学蒙民伟科技大楼南楼S927
主办单位:
地球系统科学系
  简介:

The NASA funded global Web Enabled Landsat Data (GWELD) project seeks to provide global coverage Landsat ARD, specifically monthly and annual Landsat 30 m information for any terrestrial non-Antarctic location for six 3-year epochs spaced every 5 years from 1985 to 2010. The GWELD are generated from every available Landsat 4 and 5 Thematic Mapper (TM) and 7 Enhanced Thematic Mapper plus (ETM+) image held in the U.S. Landsat archive. The reflective wavelength bands are corrected to nadir BRDF-adjusted surface reflectance. Given the considerable global Landsat data volume (~125,000 Landsat images/year) the GWELD products are generated on the NASA Earth Exchange (NEX) high performance super computer with an output volume of 24TB/year.


今日相关信息
Cationic Comb-type Copolymer Assisted...
环境学术沙龙第503期: Publishing with ...
星载天线设计若干问题研究
Measuring operator size growth in qua...
 
同类别相关信息
全球变化科学紫荆论坛第380期:地貌系...
公共卫生系列讲座——鼠疫:传染病防控的...
全球变化科学紫荆论坛第378期:Unders...
全球变化科学紫荆论坛第377期:美国加...
全球变化科学紫荆论坛第353期: 热带降...
学术活动