Leiku Yang

发表

Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

Yong Xue, C. Wu, J. Guang, 2011 .

Aerosol retrieval algorithm based on adaptive land–atmospheric decoupling for polarized remote sensing over land surfaces

Leiku Yang, Weibing Du, Xiaobing Sun, 2018, Journal of Quantitative Spectroscopy and Radiative Transfer.

Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

G. Leeuw, Yong Xue, T. Holzer-Popp, 2012 .

Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China

Jing Fu Guo, Ying Li, Jie Guang, 2012 .

Aerosol Optical Properties over an Urban Site in Central China Determined Using Ground-Based Sun Photometer Measurements

Hong Wang, Xiaofeng Lu, X. Xia, 2019, Aerosol and Air Quality Research.

Uncertainties of aerosol retrieval from neglecting non-sphericity of dust aerosols

Yong Xue, J. Guang, Leiku Yang, 2013 .

Retrieval of Aerosol Optical Depth Over North China From Polarized Satellite Observations Using Re‐derived Surface Properties

Leiku Yang, Weibing Du, Xiaobing Sun, 2019, Earth and Space Science.

Aerosol optical depth retrieval in the Arctic region using MODIS based on prior knowledge

G. Leeuw, Yong Xue, J. Guang, 2011 .

Global validation and comparison of MODIS DT and POLDER-3 GRASP aerosol products over ocean

Leiku Yang, Weiqian Ji, Xiaofeng Lu, 2022, Atmospheric Research.

A Method for Retrieving Land Surface Reflectance Using MODIS Data

Yong Xue, Jie Guang, Linlu Mei, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land

Wei Gong, Xiuqing Hu, Leiku Yang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network

B. Holben, J. Chen, V. Estellés, 2019, Atmospheric Chemistry and Physics.

A drought monitoring operational system for China using satellite data: design and evaluation

Bingfang Wu, Vijendra K. Boken, Nana Yan, 2016 .

A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading

L. Remer, R. Levy, O. Dubovik, 2021 .

A Dark Target research aerosol algorithm for MODIS observations over eastern China: Increasing coverage while maintaining accuracy at high aerosol loading

L. Remer, R. Levy, O. Dubovik, 2020 .

Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET.

Xiangao Xia, Leiku Yang, Hong Wang, 2019, Chemosphere.

Aerosol retrival of North China using NOAA AVHRR data

Yingjie Li, Yong Xue, Jie Guang, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

The Estimation of Surface Albedo from DSCOVR EPIC

Qiang Liu, Jie Guang, Zhengqiang Li, 2020, Remote. Sens..

Capability of Fengyun-3D Satellite in Earth System Observation

Peng Zhang, Na Xu, Weihua Bai, 2019, Journal of Meteorological Research.

Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China

H. Che, Yu Zheng, Leiku Yang, 2022, Remote. Sens..

Seasonal change analysis of multispectral BRDF for different surface types

Zhengqiang Li, Weizhen Hou, Leiku Yang, 2021, Symposium on Novel Photoelectronic Detection Technology and Application.

Synthesis of the ICESat/ICESat-2 and CryoSat-2 observations to reconstruct time series of lake level

Ye E. Feng, Chunqiao Song, Tan Chen, 2023, Int. J. Digit. Earth.

Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data

Yong Xue, Farhi Marir, Leiku Yang, 2013 .

ETWatch for monitoring regional evapotranspiration with remote sensing

Bingfang Wu, Nana Yan, Xin Du, 2008 .

Aerosol Direct Radiative Effects over China Based on Long-Term Observations within the Sun-Sky Radiometer Observation Network (SONET)

Yan Wang, Leiku Yang, Qingjiu Tian, 2020, Remote. Sens..

Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data

Bailang Yu, Bin Wu, Song Shu, 2022, IEEE Geoscience and Remote Sensing Letters.

The first validation of the precipitable water vapor of multisensor satellites over the typical regions in China

Xiaofeng Lu, Leiku Yang, Yining Ma, 2018 .

A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation

Li Li, Zhengqiang Li, Lili Qie, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Exploring the Attractiveness of Residential Areas for Human Activities Based on Shared E-Bike Trajectory Data

Chengming Li, Xiaoqian Cheng, Weibing Du, 2020, ISPRS Int. J. Geo Inf..

Aerosol optical properties and its type classification based on multiyear joint observation campaign in north China plain megalopolis.

X. Xia, Hong Wang, K. Gui, 2020, Chemosphere.

Using the Gaofen-4 geostationary satellite to retrieve aerosols with high spatiotemporal resolution

Jin Xing, Lili Qie, Xingfeng Chen, 2018, Journal of Applied Remote Sensing.

Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

Yong Xue, Jie Guang, Linlu Mei, 2012 .

Long-term aerosol optical depth datasets over China retrieved from satellite data

Yong Xue, Jie Guang, Linlu Mei, 2011 .

A Novel Algorithm of Haze Identification Based on FY3D/MERSI-II Remote Sensing Data

Fu Lee Wang, Xingying Zhang, Lin Chen, 2023, Remote. Sens..

Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm.

M. Zhang, Lunche Wang, Lizhe Wang, 2022, Environment international.

Improved Aerosol Optical Depth and Ångstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model

Jiahua Zhang, Hassan B. Kazemian, Yong Xue, 2014, IEEE Geoscience and Remote Sensing Letters.