link 来源:www.coursera.org
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assignment 等级:入门
label GIS
chat_bubble_outline 语言:英语
card_giftcard 240分
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关键信息

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timer 30小时总数

关于内容

Learn how the revolution in geospatial technology combined with the tradecraft of Geospatial Intelligence (GEOINT) have changed how we develop insights about how humans use geography, and discover the power of GEOINT.

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课程大纲

Week One: What is GEOINT?
Learn what GEOINT is and how it provides a powerful way of thinking about and finding solutions to complex humanitarian, military, economic, and cultural problems. We'll discuss the role of secrecy and its challenges.

Week Two:  GEOINT Data.
Examine the types and nature of data used to create GEOINT, including textual information, imagery, and geospatial data. Discuss how location-based data is changing conceptions of privacy.

Week Three: GEOINT Data Sources.
Understand how GEOINT data is collected by a variety of methods including satellites, drones, crowdsourcing, and through social media.

Week Four: The GEOINT Tradecraft.
Apply the art and science of extracting meaning from GEOINT data to uncover and investigate relationships and patterns.

Week Five: Applying GEOINT Principles.
Use GEOINT principles to evaluate and transform raw data into descriptions, explanations, or judgments about a place.
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教师

  • Todd Bacastow - College of Earth and Mineral Sciences
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内容设计师

The Pennsylvania State University
Founded in 1855 as Pennsylvania's only land-grant university, The Pennsylvania State University combines academic rigor with a vibrant campus life. A nationally recognized Research-I institution, Penn State teaches students to be leaders with a global perspective. Supporting not only the citizens of our Commonwealth, Penn State engages in collaborative activities with industrial, educational, and agricultural partners in the United States and abroad to generate, disseminate, integrate, and apply knowledge that is valuable to society.
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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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