| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.5194/essd-2018-13 |
| Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications. | |
| Lesiv M; See L; Laso Bayas JC; Sturn T; Schepaschenko D; Karner M; Moorthy I; McCallum I | |
| 发表日期 | 2018 |
| 出处 | Earth System Science Data Discussions : 1-24 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Very high resolution (VHR) satellite imagery from Google Earth and Bing Maps is increasingly being used in a variety of applications from computer sciences to arts and humanities. In the field of remote sensing, this imagery is used to create detailed time-sensitive maps, e.g. for emergency response purposes, or to validate coarser resolution products such as global land cover maps. However, little is known about where VHR satellite imagery exists globally or the dates of the imagery. Here we present a global snapshot of the spatial and temporal distribution of VHR satellite imagery in Google Earth and Bing Maps. The results show an uneven availability globally, with biases in certain areas such as the USA, Europe and India. We also show that the availability of VHR imagery is currently not adequate for monitoring protected areas and deforestation, but is better suited for monitoring changes in cropland or urban areas. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885767 . |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/15221/ |
| 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/131264 |
| 推荐引用方式 GB/T 7714 | Lesiv M,See L,Laso Bayas JC,et al. Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications.. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| essd-2018-13.pdf（1876KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
