Xiang Zhou is a remote sensing researcher with a diverse research background, including open EO data processing and standardization, geospatial information analysis and data mining, remote sensing product validation, and environmental remote sensing applications. He has been the project leader for more than 10 national projects, published over 20 papers, proposed three recommended national standards, and applied for 10 patents. In 2021, Xiang Zhou was selected as a special researcher by the Chinese Academy of Sciences. His main achievements are as follows:

He led a project to establish the largest nationwide network of remote sensing validation stations in China. The project aims to provide trusted in-situ data to improve the accuracy of land surface core variables based on remote sensing. He also conducted research to establish a full-chain technology system for remote sensing product validation. This includes radiation calibration, optimized sampling design, error analysis of remote sensing products, and uncertainty estimation.

He conducted research on standardized processing technologies for core surface environmental variables to provide support for online standardization customization and processing of common products. Additionally, he developed a set of general and practical standards and specifications to support the production, validation, and application of domestically produced remote sensing products in China.

He is dedicated to international cooperation and capacity building in the field of earth observation applications and remote sensing product validation. He has facilitated the establishment of joint validation technical systems for remote sensing products in the BRICS region and countries along the Belt and Road.

(1)Xiang Zhou, Duo Feng, Yong Xie, Zui Tao , Tingting Lv, and Jin Wang.. Radiometric Cross-Calibration of GF-4/IRS Based on MODIS Measurements[J], IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2021,14, (SCI)

(2)Lv, T.; Zhou, X.; Tao, Z.;Sun, X.; Wang, J.; Li, R.; Xie, F.. Remote Sensing-Guided Spatial Sampling Strategy over Heterogeneous Surface Ground for Validation of Vegetation Indices Products with Medium and High Spatial Resolution[J]. Remote Sensing, 2021, 13(14).(SCI)

(3)Xie, F.; Tao, Z.; Zhou, X.;Lv, T.; Wang, J.; Li, R.. A Prediction Model of Water In Situ Data Change under the Influence of Environmental Variables in Remote Sensing Validation[J]. Remote Sensing, 2021, 13(1). (SCI)

(4)Zhang H, Zhou X, Tao Z, Lv T and Wang J.. Deep learning–based turbidity compensation for ultraviolet-visible spectrum correction in monitoring water parameters[J], Frontiers in Environmental Science, 2022,9,9.(SCI)

(5)Zhai, M.; Tao, Z.; Zhou, X.;Lv, T.; Wang, J.; Li, R..Water Multi-Parameter Sampling Design Method Based on Adaptive Sample Points Fusion in Weighted Space[J],Remote Sensing, 2022, 14,(SCI)

(6)Zhai M, Zhou X, Tao Z, Lv T, Zhang H, Li R and Huang Y.. Retrieve of total suspended matter in typical lakes in China based on broad bandwidth satellite data:Random forest model with Forel-Ule Index,Frontiers in Environmental Science[J],Frontiers in Environmental Science, 2023,2,10.(SCI)

(7)Tinting Lv, Zui Tao, Xiang Zhou*, Xiaoyu Sun; Spatio-temporal distribution of crop phenology in eastern coastal China based on MODIS data,2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS),Beijing, China, 2016-7-10至2016-7-15. （EI）

(8)Li Ruoxi, Zhou Xiang, Lyu Tingting, Tao Zui, Wang Jin, Xie Futai. Optimal sampling strategy for authenticity test in heterogeneous vegetated areas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2021,37(8):177-186.（EI）

(9)Gu Xingfa, Zhou xiang, Zhang Songmei etal., Asia-Oceania GEOSS: A GEO initiative to implement GEOSS for sustainable development in Asia-Oceania[J]. Journal of Remote Sensing, 2018. (CSCD)

(10)Zhao Jiechen, Zhou xiang, Sun Xiaoyu et al., The inter comparison and assessment of satellite sea-ice concentration datasets from the arctic[J]. Journal of Remote Sensing,, 2017, 21(3):351-364.(CSCD)

(1)Method, device, electronic equipment and storage media for validating parameters of lake water bodies (application number: 202010681941.1)

(2)Method and device for validating spectral reflectance of lake water bodies (application number: 202010681966.1)" 

(3)Method, device, electronic equipment and storage media for selecting validation site location (application number: 202110461157.1)

(4)Method for spatial deployment of multi-parameter collaborative sampling in water bodies (application number: 202111189084.4)

(5)Method, device, equipment, and storage media for determining sampling location (application number: 202210715929.7

(6)Validation system for RS vegetation index products (application number: 202210828951.2

(7)Method, device, equipment, and readable storage media for validating RS vegetation index products (application number: 202210727903.4

(8)Method and system for validating RS based water body products (application number: 202210714103.9

(9)Method and device for water quality monitoring and alarm (application number: 202210691528.2)

(10)Classification method and system for RS based land cover products (granted patent)

· Futai Xie Futai Xie (Master ): Evaluation Method of In Situ Data in Validation of Waterbody Remote Sensing Information Products

· Mingjian Zhai (Master's Degree Candidate):Water Multi-Parameter Sampling Design Method

· Yuxuan Huang (Master's Degree Candidate):Remote Sensing Inversion Method of FVC in Mountainous Areas

· Houyu Liang (Ph.D. Candidate): Application of Machine Learning Methods in EO Big Data Processing

· Ruoxi Li (Ph.D. Candidate): Location Selection Model and Spatial Evaluation of Remote Sensing Validation Station