Xiaoyi Cao

发表

Assessing arid Inland Lake Watershed Area and Vegetation Response to Multiple Temporal Scales of Drought Across the Ebinur Lake Watershed

Jianli Ding, Jingzhe Wang, Junyong Zhang, 2020, Scientific Reports.

Concentration and source allocation of black carbon by AE-33 model in urban area of Shenzhen, southern China

Bohan Yang, Xuan Zheng, Xiaoyi Cao, 2022, Journal of Environmental Health Science and Engineering.

Estimating PM2.5 with high-resolution 1-km AOD data and an improved machine learning model over Shenzhen, China.

Jingzhe Wang, Xuan Zheng, Dexiong Teng, 2020, The Science of the total environment.

Concentration and source allocation of black carbon by AE-33 model in urban area of Shenzhen, southern China

Bohan Yang, Xuan Zheng, Xiaoyi Cao, 2022, Journal of Environmental Health Science and Engineering.

Assessing arid Inland Lake Watershed Area and Vegetation Response to Multiple Temporal Scales of Drought Across the Ebinur Lake Watershed

Jianli Ding, Jingzhe Wang, Junyong Zhang, 2020, Scientific Reports.

Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: a specific case of scale issues in remote sensing.

Jingzhe Wang, Xuan Zheng, Dexiong Teng, 2020, Environmental research.

Radiative forcing of black carbon in seasonal snow of wintertime based on remote sensing over Xinjiang, China

Jianli Ding, W. Pu, Jiecan Cui, 2021 .

Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

Xiaohang Li, Jie Liu, Zipeng Zhang, 2019, PeerJ.

Multidimensional soil salinity data mining and evaluation from different satellites.

Jianli Ding, Xiaoyi Cao, Wenqian Chen, 2022, The Science of the total environment.

Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China

Jingzhe Wang, H. Zuo, Xiaoyi Cao, 2022, Earth System Science Data.

Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China

Xiangyue Chen, Jianli Ding, Jingzhe Wang, 2020, Remote. Sens..

Full-coverage 250 m monthly aerosol optical depth dataset 1 (2000-2019) emended with environmental covariates by the 2 ensemble machine learning model over the arid and semi-arid 3 areas, NW China

Jingzhe Wang, H. Zuo, Xiaoyi Cao, 2022 .

Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China

Jingzhe Wang, H. Zuo, Xiaoyi Cao, 2022 .