• Remote sensing image processing and application

• Intelligent remote sensing information mining

• Quantification of Chinese satellite data

• Forest and burned area mapping

• Noctilucent remote sensing

2013-09--2016-07 PhD, Institute of Remote Sensing and Digital Earth, CAS

2008-09--2011-07 Master, Earth Observation and Digital Earth Science Center, CAS

2004-09--2008-07 Bachelor, Wuhan University

2020-12~now, Associate Professor, Aerospace Information Research Institute , Chinese Academy of Sciences

2019-06~2020-12, Research Assistant, Aerospace Information Research Institute, Chinese Academy of Sciences

2014-02~2019-06, Research Assistant, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

2011-07~2014-01, Research Intern, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences

2020-12-31-2024-12-30, Youth Editor of "Remote Sensing Technology and Application" journal

2020-12-29-2021-12-28, Topic Editor and Guest Editor of "Remote Sensing" journal

Long, T., Jiao, W., He, G.(*), et al., 2020. Block Adjustment with Relaxed Constraints from Reference Images of Coarse Resolution, IEEE Transactions on Geoscience and Remote Sensing. April 2020, PP(99):1-14 DOI:10.1109/TGRS.2020.2984533. 

Long, T., Zhang, Z., He, G., Jiao, W., et al., 2019. 30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine. Remote Sensing, 11(5), p.489. (Editor's choice)

Long, T., Jiao W.(*), He, G., et al., 2016. A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery. Remote Sensing, 8(1), p.56. 

Long, T., Jiao, W.(*), He, G., et al., 2015. A generic framework for image rectification using multiple types of feature. ISPRS Journal of Photogrammetry and Remote Sensing, 102, pp.161–171.

Long, T., Jiao, W. & He, G.(*), 2015. RPC Estimation via l1-Norm-Regularized Least Squares (L1LS). IEEE Transactions on Geoscience and Remote Sensing, 53(8), pp.4554–4567.

Long, T., Jiao, W. (*) & He, G., 2014. Nested regression based optimal selection (NRBOS) of rational polynomial coefficients. Photogrammetric Engineering & Remote Sensing, 80(3), pp.261-269.

Long, T., Jiao, W., He, G. and Wang, W., 2013. Automatic line segment registration using Gaussian mixture model and expectation-maximization algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(5), pp.1688-1699. 

Zhang, Z., Long, T.(*), He, G.(*), Wei, M., et al., 2020. Study on Global Burned Forest Areas Based on Landsat Data. Photogrammetric Engineering & Remote Sensing, 86(8), pp.503-508. 

Dong, Y., Long, T.(*), Jiao W.(*), et al., 2018. A Novel Image Registration Method Based on Phase Correlation Using Low-Rank Matrix Factorization with Mixture of Gaussian. IEEE Transactions on Geoscience and Remote Sensing, 56(1), pp.446–460.

Wei, M., Zhang, Z., Long, T.(*), He, G. et al., Monitoring Landsat Based Burned Area as an Indicator of SDGs. Earth's Future, p.e2020EF001960. 

Dong, Y., Jiao, W. (*), Long, T. (*), He, G. and Gong, C., 2018. An Extension of Phase Correlation-Based Image Registration to Estimate Similarity Transform Using Multiple Polar Fourier Transform. Remote Sensing, 10(11), p.1719. 

Dong, Y., Jiao, W. (*), Long, T. (*), et al., 2019. Local Deep Descriptor for Remote Sensing Image Feature Matching. Remote Sensing, 11(4), p.430.

Dong, Y., Jiao, W. (*), Long, T. (*), Liu, L. and He, G., 2019. Eliminating the Effect of Image Border with Image Periodic Decomposition for Phase Correlation Based Remote Sensing Image Registration. Sensors, 19(10), p.2329. 

Jiang, W., He, G.(*), Long, T.(*), Guo, H., et al., 2018. Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution. Sensors, 18(9), p.2900. 

Jiang, W., He, G. (*), Long, T.(*), Ni, Y., et al., 2018. Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images. Remote Sensing, 10(5), p.755.

Jiang, W., He, G. (*), Long, T.(*), et al., 2017. Ongoing Conflict Makes Yemen Dark: From the Perspective of Nighttime Light. Remote Sensing, 9(8), p.798. 

Jiang, W., He, G. (*), Leng, W., Long, T. (*), Wang, G., Liu, H., Peng, Y., Yin, R. and Guo, H., 2018. Characterizing light pollution trends across protected areas in china using nighttime light remote sensing data. ISPRS International Journal of Geo-Information, 7(7), p.243.

(1) Image geometric correction method based on surface features, invention, 2012, first author, patent number: ZL201210055511.4

(2) Rational function model parameter solution and full-parameter optimization method based on l1 norm constraint, Invention, 2014, 1st author, patent number: ZL201410352962.3

(3) Calculation method of zenith angle and azimuth angle of satellite image pixel observation, Invention, 2014, 1st author, patent number: ZL201410352963.8

(4) Universal multi-source remote sensing image geometric correction model joint adjustment method, invention, 2010, first author, patent number: ZL201010242711.1

(5) An online automatic matching method for geometric correction of remote sensing images, invention, 2015, first author, patent number: ZL201510634043.X

(6) High-precision geometric positioning method for remote island satellite image RPC model, invention, 2017, first author, patent number: ZL201710373884.9

(1) Atlas of Urbanization and Ecological Environment of Wuhan Urban Agglomeration, Surveying and Mapping Press, 2015-06, No. Other Author 

(2) Urbanization of Wuhan Urban Agglomeration and Its Eco-environmental Effects, Science Press, 2017-06, 2nd author 

(3) Global Ecological Environment Remote Sensing Monitoring 2019 Annual Report (Global Forest Cover and Changes), Science Press, 2019-12, No. Other Authors 

(4) Remote Sensing Information Engineering, Science Press, 2020-12, 3rd author

(1) Research on the theory and method of real-time service of downlink data from remote sensing satellites based on cognitive computing, participation, national level, 2018-01--2022-12

(2) Multi-feature ground uncontrolled coordinated positioning of satellite image sequences based on relaxation constraints, host, national level, 2018-01--2020-12

(3) Youth Innovation Promotion Association, chairperson, ministerial level, 2019-01--2022-12

(4) Earth Big Data Science Project-CASEarth DataBank System Construction, Participation, Ministry Level, 2018-01--2022-12

(5) The second comprehensive scientific investigation of the Qinghai-Tibet Plateau-Remote sensing retrieval of ecosystem characteristic parameters, participation, national level, 2019-01--2024-12

(6) Quantitative processing of global multi-source satellite data with 30m resolution, chairperson, national level, 2016-01--2021-12

(7) RTU product development of full-time series surface reflectance geographic grid, presided over, ministerial level, 2021-01--2021-12

现指导学生

温春晖  硕士研究生  085700-资源与环境  

王龙飞  硕士研究生  070503-地图学与地理信息系统  

(1) Beijing Municipal Science and Technology Progress Award, second prize, provincial level, 2021

(2) Hainan Provincial Science and Technology Progress Award, second prize, provincial level, 2018

(3) Hainan Provincial Science and Technology Progress Award, First Prize, Provincial Level, 2015