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View all- Attar-Khorasani SChalmeta R(2024)Internet of Things Data Visualization for Business IntelligenceBig Data10.1089/big.2021.020012:6(478-503)Online publication date: 1-Dec-2024
Multisource Remotely Sensed Wetland Information Exploration Using Interactive Visualization Methods
Authors: 
Yi Li, Jianhua Gong, Bisong HuAuthors Info & Claims
Yi Li, Jianhua Gong, Bisong HuAuthors Info & ClaimsPages 95 - 99
Abstract
In wetland research, the increasing amount of data available from earth observation technologies provides new challenges for data analysis and wetland mapping. Interactive visualization can provide new techniques for knowledge discovery in remote sensing data. This paper analyzes the characteristics of remotely sensed wetland data and introduces a group of spatial-attribute interactive multidimensional visualization methods to browse the parameter space of remotely sensed wetland information. A case study using multisource remote sensing data for a wetland in the Daxinganling region shows that bands selection through visualization methods can help with the exploration of the positional and spectral characteristics of sample pixels.
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- Multisource Remotely Sensed Wetland Information Exploration Using Interactive Visualization Methods
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Published In
October 2018
217 pages
ISBN:9781450365192
DOI:10.1145/3289430
Copyright © 2018 ACM.
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In-Cooperation
- Deakin University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 October 2018
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- Research-article
- Research
- Refereed limited
Funding Sources
- the Strategic Priority Research Program of Chinese Academy of Sciences
- the Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education
- National Natural Science Foundation of China
Conference
BDIOT 2018
BDIOT 2018: 2018 2nd International Conference on Big Data and Internet of Things
October 24 - 26, 2018
Beijing, China
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Overall Acceptance Rate 75 of 136 submissions, 55%
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View all- Attar-Khorasani SChalmeta R(2024)Internet of Things Data Visualization for Business IntelligenceBig Data10.1089/big.2021.020012:6(478-503)Online publication date: 1-Dec-2024
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