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作 者:Wolfgang Kainz Xinming Tang Yucai Xue
机构地区:[1]Department of Geography and Regional Research,University of Vienna,Vienna,Austria [2]Land Satellite Remote Sensing Application Center,Ministry of Natural Resources of the Peoples Republic of China,Beijing,China
出 处:《Geo-Spatial Information Science》2021年第1期145-151,I0015,共8页地球空间信息科学学报(英文)
基 金:This work was supported by the National Key R&D Program of China for Strategic International Cooperation in Science and Technology Innovation(Grant No.2016YFE0205300);as well as a grant under the Eurasia Pacific UNINET program of the Austrian Federal Ministry of Education,Science and Research to the University of Vienna(Grant No.EPU 32/2017).
摘 要:The Austrian node of the Natural Resources Satellite Remote Sensing Cloud Service Platform was established in 2016 through a cooperation agreement between the Land Satellite Remote Sensing Application Center(LASAC),Ministry of Natural Resources of the Peoples Republic of China and the University of Vienna,Austria.Under this agreement panchromatic and multi-spectral data of the Chinese ZY-3 satellite are pushed to the server at the University of Vienna for use in education and research.So far,nearly 500 GB of data have been uploaded to the server.This technical note briefly introduces the ZY-3 system and illustrates the implementation of the agreement by the first China-Sat Workshop and several case studies.Some of them are already completed,others are still ongoing.They include a geometric accuracy validation of ZY-3 data,an animated visualization of image quick views on a spherical display to demonstrate the time series of the image coverage for Austria and Laos,and the use of ZY-3 data to study the spread of bark beetle in the province of Lower Austria.An accuracy study of DTMs from ZY-3 stereo data,as well as a land cover analysis and comparison of Austria with ZY-3 and other sensors are still ongoing.
关 键 词:Remote sensing geographic information systems ZY-3 satellite hyperglobe Land Satellite Remote Sensing Application Center(LASAC)
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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