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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.3390/rs9040357 |
The Role of Citizen Science in Earth Observation. | |
Fritz S; Fonte CC; See L | |
发表日期 | 2017 |
出处 | Remote Sensing 9 (4): p. 357 |
出版年 | 2017 |
语种 | 英语 |
摘要 | Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observation (EO), which have yet to be fully exploited. Research in this area has increased rapidly during the last two decades, and there are now many examples of CS projects that could provide valuable calibration and validation data for EO, yet are not integrated into operational monitoring systems. A special issue on the role of CS in EO has revealed continued trends in applications, covering a diverse set of fields from disaster response to environmental monitoring (land cover, forests, biodiversity and phenology). These papers touch upon many key challenges of CS including data quality and citizen engagement as well as the added value of CS including lower costs, higher temporal frequency and use of the data for calibration and validation of remotely-sensed imagery. Although still in the early stages of development, CS for EO clearly has a promising role to play in the future. |
主题 | Ecosystems Services and Management (ESM) |
关键词 | earth observation citizen science crowdsourcing citizen observatories data quality citizen engagement |
URL | http://pure.iiasa.ac.at/id/eprint/14532/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131004 |
推荐引用方式 GB/T 7714 | Fritz S,Fonte CC,See L. The Role of Citizen Science in Earth Observation.. 2017. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
remotesensing-09-003(486KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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