Personal Information
Hao Sun
Associate Professor
Email：sunhao@cumtb.edu.cn
ORCID: https://orcid.org/0000-0002-6315-4838
Research Interests
(1) Quantitative remote sensing theory and algorithms
(2) Remote sensing of soil moisture
(3) Remote sensing of vegetation status
(4) Application of remote sensing science & technology in mining
Education/Work Background
Associate Professor, China University of Mining and Technology, Beijing, China, 07/2014 to present
Visiting scholar, The University of Cincinnati, Ohio, U.S., 12/2017 to 12/2018
Visiting scholar, Peking University, Beijing, China, 09/2016 to 06/2017
Ph.D, Beijing Normal University, Beijing, China, 09/2011 to 07/2014
MSc, China University of Mining and Technology, Jiangsu, China, 09/2008 to 07/2011
BSc, China University of Mining and Technology, Jiangsu, China, 09/2004 to 07/2008
Teaching Courses
Quantitative Remote Sensing
Basis of Surveying science
Key Research Funding
[1] Beijing Natural Science Foundation named “Downscaling microwave remotely sensed soil moisture by coupling physical model and machine learning method” (coded as 6222045), 01/2022 to 12/2024. PI
[2] National Natural Science Fund of China named “Downscaling microwave soil moisture combing two-stage trapezoid space and reanalysis materials” (coded as 41871338), 01/2019 to 12/2022. PI
[3] National Natural Science Fund of China named “Two-stage space of land surface temperature and fractional vegetation cover and its parameter retrieving method” (coded as 41501457), 01/2016 to 12/2018. PI
[4] National Natural Science Fund of China named “Kernel model for urban heat anisotropy” (coded as 41771448), 01/2018 to 12/2022. Co-PI
[5] Ningxia Key Research and Development Program, grant number 2018BEG03069, 03/2018 to 3/2021, Co-PI.
Honors
[1] 2023，龙软科技教师贡献奖——优秀青年教师奖
[2] 2019，测绘科技进步奖一等奖：复杂地表热环境定量遥感范式、理论与方法创新；
[3] 2018，地理信息科技进步奖一等奖：农村集体建设用地数字化监管技术研究；
[4] 2021，北京市高等学校教师教学创新大赛二等奖；
[5] 2021，第六届全国高校GIS青年教师讲课竞赛二等奖；
[6] 2022，北京市高等教育教学成果奖，二等奖；
[7] 2022，全国高等学校测绘类专业教师教学创新大赛，二等奖；
[8] 2017，全国煤炭行业教育教学优秀论文奖；
Selected Publications
[1] Sun, Hao*, Z. Xu, and H. Liu, "An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress," Journal of Hydrology, vol. 625, p. 130125, 2023. (中科院一区TOP、JCR Q1)
[2] Sun, Hao* and J. Gao, "A pixel-wise calculation of soil evaporative efficiency with thermal/optical remote sensing and meteorological reanalysis data for downscaling microwave soil moisture," Agricultural Water Management, vol. 276, p. 108063, 2023. (中科院一区TOP、JCR Q1)
[3] Sun, Hao*, X. Zhang, and X. Zhao, "Series or Parallel? An Exploration in Coupling Physical Model and Machine Learning Method for Disaggregating Satellite Microwave Soil Moisture," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, p. 4415015, 2022. (中科院一区TOP、JCR Q1)
[4] Z. Xu, Sun, Hao*, T. Zhang, H. Xu, D. Wu, and J. Gao, "Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China," Agricultural Water Management, vol. 286, p. 108405, 2023/08/01/ 2023. (中科院一区TOP、JCR Q1)
[5] Sun, Hao* et al., "Agricultural drought dynamics in China during 1982-2020: a depiction with satellite remotely sensed soil moisture," GIScience & Remote Sensing, vol. 60, no. 1, p. 2257469, 2023. (JCR Q1)
[6] T. Zhang, Sun, Hao*, Z. Xu, H. Xu, D. Wu, and L. Wu, "Comparison of Three Active Microwave Models of Forest Growing Stock Volume Based on the Idea of the Water Cloud Model," Remote Sensing, vol. 15, no. 11, p. 2848, 2023. (中科院二区TOP、JCR Q1)
[7] D. Wu, H. Sun, Hao*. Xu, T. Zhang, Z. Xu, and L. Wu, "How Can Ecological Land Be Deployed to Cool the Surface Thermal Environment? A Case Study from the Perspectives of Patch and Network," Remote Sensing, vol. 15, no. 4, p. 1061, 2023. (中科院二区TOP、JCR Q1)
[8] Sun, Hao* and Q. Xu, "Evaluating Machine Learning and Geostatistical Methods for Spatial Gap-Filling of Monthly ESA CCI Soil Moisture in China," Remote Sensing, vol. 13, no. 14, p. 2848, 2021. (中科院二区TOP、JCR Q1)
[9] Sun, Hao*, L. Wu, J. Hu, L. Ma, H. Li, and D. Wu, "Evaluating eco-environment in urban agglomeration from a vegetation-impervious surface-soil-air framework: an example in Ningxia, China," Journal of Applied Remote Sensing, vol. 15, no. 1, p. 014518, 2021.
[10] Sun, Hao*, H. Liu, Y. Ma, and Q. Xia, "Optical remote sensing indexes of soil moisture: evaluation and improvement based on aircraft experiment observations," Remote Sensing, vol. 13, no. 22, p. 4638, 2021. (中科院二区TOP、JCR Q1)
[11] Sun, Hao*, J. Hu, J. Wang, J. Zhou, L. Lv, and J. Nie, "RSPD: A Novel Remote Sensing Index of Plant Biodiversity Combining Spectral Variation Hypothesis and Productivity Hypothesis," Remote Sensing, vol. 13, no. 15, p. 3007, 2021. (中科院二区TOP、JCR Q1)
[12] Sun, Hao* and Y. Cui, "Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method," Remote Sensing, vol. 13, no. 1, p. 133, 2021. (中科院二区TOP、JCR Q1)
[13] Sun, Hao*, B. Zhou, C. Zhang, H. Liu, and B. Yang, "DSCALE_mod16: A Model for Disaggregating Microwave Satellite Soil Moisture with Land Surface Evapotranspiration Products and Gridded Meteorological Data," Remote Sensing, vol. 12, no. 6, p. 980, 2020. (中科院二区TOP、JCR Q1)
[14] D. Wang, Y. Chen, Y. Cui, and Sun, Hao, "A Geometric Model to Simulate Urban Thermal Anisotropy for Simplified Neighborhoods," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 8, pp. 4930-4944, 2018. (中科院一区TOP、JCR Q1)
[15] Sun, Hao*, Y. Wang, W. Liu, S. Yuan, and R. Nie, "Comparison of Three Theoretical Methods for Determining Dry and Wet Edges of the LST/FVC Space: Revisit of Method Physics," Remote Sensing, vol. 9, no. 6, p. 528, 2017. (中科院二区TOP、JCR Q1)
[16] Sun, Hao*, C. Cai, H. Liu, and B. Yang, "Microwave and Meteorological Fusion: A method of Spatial Downscaling of Remotely Sensed Soil Moisture," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 4, pp. 1107-1119, 2019. (JCR Q1)
[17] Sun, Hao*, W. Liu, Y. Wang, and S. Yuan, "Evaluation of Typical Spectral Vegetation Indices for Drought Monitoring in Cropland of the North China Plain," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 12, pp. 5404-5411, 2017. (JCR Q1)
[18] Sun, Hao*, "A Two-Source Model for Estimating Evaporative Fraction (TMEF) Coupling Priestley-Taylor Formula and Two-Stage Trapezoid," Remote Sensing, vol. 8, no. 3, p. 248, 2016. (中科院二区TOP、JCR Q1)
[19] Sun, Hao*, "Two-Stage Trapezoid: A New Interpretation of the Land Surface Temperature and Fractional Vegetation Coverage Space,", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Article vol. 9, no. 1, pp. 336-346, Jan 2016. (JCR Q1)
[20] H. Xu, Sun, Hao*, T. Zhang, Z. Xu, D. Wu, and L. Wu, "Remote Sensing Study on the Coupling Relationship between Regional Ecological Environment and Human Activities: A Case Study of Qilian Mountain National Nature Reserve," Sustainability, vol. 15, no. 14, p. 11177, 2023. (JCR Q2)
[21] Sun, Hao* and Z. Zhao, "Effects of the new Priestly-Taylor equation on determining the boundary of LST/FVC space for soil moisture monitoring," Geocarto International, vol. 37, no. 26, pp. 11534–11558, 2022. (JCR Q2)
[22] Sun, Hao* et al., "Determining the dry boundary of the LST/FVC space for soil moisture monitoring: a semi-empirical method," (in English), International Journal of Remote Sensing, Article vol. 41, no. 10, pp. 3723-3739, May 2020. (JCR Q2)
[23] Sun, Hao*, W. Zhou, Y. Zhang, C. Cai, and Q. Chen, "Integrating spectral and textural attributes to measure magnitude in object-based change vector analysis," International Journal of Remote Sensing, vol. 40, no. 15, pp. 5749–5767, 2019. (JCR Q2)
[24] Sun, Hao*, B. Zhou, and H. Liu, "Spatial Evaluation of Soil Moisture (SM), Land Surface Temperature (LST), and LST-Derived SM Indexes Dynamics during SMAPVEX12," Sensors, vol. 19, no. 5, p. 1247, 2019. (JCR Q2)
[25] Sun, Hao*, Y. Chen, and W. Zhan, "Comparing surface and canopy layer urban heat islands over Beijing using MODIS data," International Journal of Remote Sensing, vol. 36, no. 21, pp. 5448-5465, 2015. (JCR Q2)
[26] Sun, Hao*, Y. Chen, A. Gong, X. Zhao, W. Zhan, and M. Wang, "Estimating mean air temperature using MODIS day and night land surface temperatures", Theoretical and Applied Climatology, vol. 118, no. 1-2, pp. 81-92, 2014/10/01 2014. (JCR Q2)
[27] Sun, Hao*, X. Zhao, Y. Chen, A. Gong, and J. Yang, "A new agricultural drought monitoring index combining MODIS NDWI and day-night land surface temperatures: A case study in China," International Journal of Remote Sensing, vol. 34, no. 24, pp. 8986-9001, 2013. (JCR Q2)