Items where Author is "Xue, Yong"

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Number of items: 15.

Guang, Jie, Xue, Yong, Fan, Cheng, Li, Ying and Che, Yahui (2016) Estimate the high-resolution distribution of ground-level particulate matter based on space observations and a physical-based model. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China.

Fan, Cheng, Guang, Jie, Xue, Yong, Di, Aojie, She, Lu and Che, Yahui (2016) An atmospheric correction algorithm for FY3/MERSI data over land in China. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China.

Fan, Cheng, Guang, Jie, Xue, Yong, Di, Aojie, She, Lu and Che, Yahui (2016) An atmospheric correction algorithm for FY3/MERSI data over land in China. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China.

Liu, Jia, Xue, Yong, Palmer-Brown, Dominic, Chen, Ziqiang and He, Xingwei (2015) High-Throughput Geocomputational Workflows in a Grid Environment. Computer, 48 (11). pp. 70-80. ISSN 0018-9162

Xue, Yong, He, Xingwei, Xu, Hui, Guang, Jie, Guo, Jianping and Mei, Linlu (2015) China collection 2.1: Aerosol Optical Depth dataset for mainland China at 1km resolution. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy.

Che, Yahui, Xue, Yong, Xu, Hui, Mikusauskas, Romas and Lu, She (2015) The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy.

Liu, Jia, Feld, Dustin, Xue, Yong, Garcke, Jochen and Soddemann, Thomas (2015) Multicore processors and graphics processing unit accelerators for parallel retrieval of aerosol optical depth from satellite data: implementation, performance, and energy efficiency. IEEE journal of selected topics in applied earth observations and remote sensing, 8 (5). pp. 2306-2317. ISSN 1939-1404

Liu, Longli, Xue, Yong, Zhang, Jingzun, Liu, Jia, Yu, Qicheng and Li, Chi (2014) Web service based Grid workflow application in quantitative remote sensing retrieval. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.

Guang, Jie, Xue, Yong, Roujean, Jean-Louis, Carrer, Dominique, Ceamanos, Xavier, Li, Chi, Mei, Linlu, Liu, Jia and Xu, Hui (2014) Comparison of two methods for aerosol optical depth retrieval over North Africa from MSG/SEVIRI data. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.

Zhang, Jingzun, Xue, Yong, Dong, Jing, Liu, Jia, Liu, Longli, Siva, Sahithi and Guang, Jie (2014) Knowledge representation of remote sensing quantitative retrieval models. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, QUÉBEC CITY, CANADA.

Li, Chi, Xue, Yong, Liu, Quanhua, Guang, Jie, Di, Aojie and She, Lu (2014) Post calibration of channel 1 of NOAA-14 AVHRR: Implications on aerosol optical depth retrieval. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.

She, Lu, Xue, Yong, Guang, Jie, He, Xingwei and Li, Chi (2014) Quality assurance plan for China collection 2.0 aerosol datasets. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, QUÉBEC CITY, CANADA.

Liu, Jia, Xue, Yong, Vassilev, Vassil and He, Xingwei (2014) Sub-workflow parallel implementation of aerosol optical depth retrieval from MODIS data case on a Grid platform. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.

Li, Chi, Xue, Yong, Liu, Quanhua, Ouazzane, Karim and Zhang, Jiahua (2014) Using SeaWiFS Measurements to evaluate Long-term Radiometric Stability of Pseudo-invariant Calibration Sites. IEEE Geoscience and Remote Sensing Letters, 12 (1). pp. 125-129.

Yang, Leiku, Xue, Yong, Guang, Jie, Kazemian, Hassan, Zhang, Jiahua and Li, Chi (2014) Improved aerosol optical depth and Ångstrom exponent retrieval over land from MODIS based on the non-Lambertian forward model. IEEE geoscience and remote sensing letters, 11 (9). pp. 1629-1633. ISSN 1545-598X

This list was generated on Sat Jul 11 20:53:32 2020 UTC.