ENVIRONMENTAL SENSING TECHNOLOGIES
Many diverse technologies for monitoring the environment have become available in recent years, including traditional remote sensing data sources: aerial photography and satellite imagery, hyper-spectral data, imagery on demand, RADAR and LiDAR. Other new data sources are quite unconventional, with many emerging relatively recently: unmanned aerial vehicles (UAVs or drones), social media, smartphones as sources of crowd-sourced data, and more. Sophisticated data management, analytics, and presentation technology are required to effectively leverage both the spatial (including 3D) and temporal dimensions of these often untapped data sources. Intended to survey and explore these newly developing technologies, and provide direct experience to the student to understand and interact with the data and methods (geocomputing, coding, cloud-based platforms), and to learn to plan, manage, and utilize them effectively.
미보고
미보고
Cumulative Grade Distribution
다음 사이트의 평점순으로 정렬 Rate My Professors
유사 과목
다음 사이트의 평점순으로 정렬 Rate My Professors
강사를 찾을 수 없습니다.
과목 선수과목 및 관련 과목의 시각적 표현.
참고: 가능한 모든 선수과목 관계를 표시하지 않고, 이 과목과 직접적으로 관련된 부분만 표시합니다.
그래프 로딩 중...
이 과목의 일정 정보가 없습니다.