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来源类型Article
规范类型其他
DOI10.5194/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)
URLhttp://pure.iiasa.ac.at/id/eprint/15221/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/131264
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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.
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