Researchers are continually finding new applications of satellite images because of the growing number of high-resolution images with wide spatial coverage.However,the cost of these images is sometimes high,and their ...Researchers are continually finding new applications of satellite images because of the growing number of high-resolution images with wide spatial coverage.However,the cost of these images is sometimes high,and their temporal resolution is relatively coarse.Crowdsourcing is an increasingly common source of data that takes advantage of local stakeholder knowledge and that provides a higher frequency of data.The complementarity of these two data sources suggests there is great potential for mutually beneficial integration.Unfortunately,there are still important gaps in crowdsourced satellite image analysis by means of crowdsourcing in areas such as land cover classification and emergency management.In this paper,we summarize recent efforts,and discuss the challenges and prospects of satellite image analysis for geospatial applications using crowdsourcing.Crowdsourcing can be used to improve satellite image analysis and satellite images can be used to organize crowdsourced efforts for collaborative mapping.展开更多
基金This work was funded by the National Key Research and Development Program[No.2016YFB0502502]by the National Natural Science Foundation of China under the projects[No.41371327],[No.41671433].
文摘Researchers are continually finding new applications of satellite images because of the growing number of high-resolution images with wide spatial coverage.However,the cost of these images is sometimes high,and their temporal resolution is relatively coarse.Crowdsourcing is an increasingly common source of data that takes advantage of local stakeholder knowledge and that provides a higher frequency of data.The complementarity of these two data sources suggests there is great potential for mutually beneficial integration.Unfortunately,there are still important gaps in crowdsourced satellite image analysis by means of crowdsourcing in areas such as land cover classification and emergency management.In this paper,we summarize recent efforts,and discuss the challenges and prospects of satellite image analysis for geospatial applications using crowdsourcing.Crowdsourcing can be used to improve satellite image analysis and satellite images can be used to organize crowdsourced efforts for collaborative mapping.
