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星载数据进入主流

Spaceborne Data Enters the Mainstream
课程网址: http://videolectures.net/kdd2017_malizia_spaceborne_data/  
主讲教师: Nick Malizia
开课单位: 视频讲座网
开课时间: 2017-10-09
课程语种: 英语
中文简介:
由于地球观测卫星的多样化,人类可以有效地观察任何地方、任何事情、任何时间。很长一段时间以来,我们一直在悄悄地这样做。挑战在于,多年来,这些海量的数据档案一直受困于可操作的、基于云计算的现代数据科学。这种情况正在迅速改变。在本节课中,我们将快速介绍卫星图像作为地球新数据的来源,并讨论机器学习如何成为将所有地球数据转化为真实见解的关键力量。我们将以全球农业系统为例,强调太空视角给这一至关重要的经济部门带来的一些潜力。在此过程中,我们将探索我们星球的一些美丽图像,这些图像为这种新的见解提供了动力。
课程简介: Thanks to a diverse constellation of Earth observing satellites, humanity is effectively looking everywhere, at everything, all the time. And we've been quietly doing so for a long time. The challenge is that for many years these massive data archives have been stranded from operational, cloud-based, modern data science. That is changing fast. In this session we'll do a rapid primer on satellite imagery as a source of novel data about our Earth and discuss how machine learning is a key force for translating all of this Earth data into real insights. We'll use the global agriculture system as a case in point, highlighting some of potential that a spaceborne perspective brings to this vital sector of the economy. Along the way, we will explore some of the beautiful imagery of our home planet that fuels this new class of insights.
关 键 词: 数据档案; 数据科学; 农业系统; 太空视角
课程来源: 视频讲座网
数据采集: 2022-12-16:chenxin01
最后编审: 2022-12-16:chenxin01
阅读次数: 20