The TripleSat constellation: A New Geospatial Data Service Model
By: Qiang Wen, Jianjun He, Shengyong Guan, Ting Chen, Yin Hu, Wenbin Wu, Feng Liu, Yuexia Qiao, Suet Yheng Kok & Samuel Yeong
(21st Century Aerospace Technology Co., Ltd., Beijing, China; 21st Century Aerospace Technology (Asia) Pte. Ltd., Singapore)
16 June 2017
Application of earth observation satellites plays a significant role in supporting national and international economies. So far, there are many Chinese land observation satellites in orbit and in operational service, including the CBERS-02B (China Brazil earth resource satellite), HJ, ZY, SJ, GF, and BJ series, and many others (Xu, Gong, and Wang 2014; Zhou, Huang, and Wang 2014).
According to China’s Middle and Long-term Planning, in decade years, more than 10 land observation satellites will be developed and launched by China, thus forming an integrated land observation system, characterized by a multi-sale spatial resolution and diversified sensors (Yang and Chi 2011). In turn, these will obtain plentiful geospatial remote sensing data to apply in many industries such as agriculture, environment, forestry, traffic, and so on. While the number of remote sensing applications has increased greatly, the remote sensing data are still generally considered as a scientific data-set used by specialist organizations and government agencies.
Currently, earth observation satellite data are certainly not as popular as data from global positioning satellites, communication satellites, and meteorological satellites. Moreover, the remote sensing satellites applications market is still typified by a lack of sufficient professional commercial services providers who can meet the needs and various demands from the end-users, like satellite planning, imaging, processing, obtaining, visualization, archiving, etc. Hence, it is clear that commercial remote sensing satellite enterprises who best understand the user demands by having close contact with their customers, provide more direct, convenient, and efficient services (Mantas, Liu, and Pereira 2015; Tan, Di, and Deng 2016).
Full publication can be found on https://www.tandfonline.com/doi/pdf/10.1080/10095020.2017.1329266
