| Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China J Wang, J Ding, D Yu, X Ma, Z Zhang, X Ge, D Teng, X Li, J Liang, ... Geoderma 353, 172-187, 2019 | 268 | 2019 |
| Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI J Wang, J Ding, D Yu, D Teng, B He, X Chen, X Ge, Z Zhang, Y Wang, ... Science of the Total Environment 707, 136092, 2020 | 214 | 2020 |
| Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring X Ge, J Wang, J Ding, X Cao, Z Zhang, J Liu, X Li PeerJ 7, e6926, 2019 | 210 | 2019 |
| Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices Z Zhang, J Ding, J Wang, X Ge Catena 185, 104257, 2020 | 116 | 2020 |
| Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region X Ge, J Ding, X Jin, J Wang, X Chen, X Li, J Liu, B Xie Remote Sensing 13 (8), 1562, 2021 | 112 | 2021 |
| Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an … J Wang, T Shi, D Yu, D Teng, X Ge, Z Zhang, X Yang, H Wang, G Wu Environmental Pollution 266, 115412, 2020 | 106 | 2020 |
| Updated soil salinity with fine spatial resolution and high accuracy: The synergy of Sentinel-2 MSI, environmental covariates and hybrid machine learning approaches X Ge, J Ding, D Teng, J Wang, T Huo, X Jin, J Wang, B He, L Han Catena 212, 106054, 2022 | 89 | 2022 |
| Strategies for the efficient estimation of soil organic matter in salt-affected soils through Vis-NIR spectroscopy: Optimal band combination algorithm and spectral degradation Z Zhang, J Ding, C Zhu, J Wang, G Ma, X Ge, Z Li, L Han Geoderma 382, 114729, 2021 | 77 | 2021 |
| Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks X Ge, J Ding, D Teng, B Xie, X Zhang, J Wang, L Han, Q Bao, J Wang International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 59 | 2022 |
| Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China J Li, X Ge, Q He, A Abbas PeerJ 9, e10542, 2021 | 58 | 2021 |
| Mapping flood by the object-based method using backscattering coefficient and interference coherence of Sentinel-1 time series X Zhang, NW Chan, B Pan, X Ge, H Yang Science of the Total Environment 794, 148388, 2021 | 54 | 2021 |
| Validation and comparison of high-resolution MAIAC aerosol products over Central Asia X Chen, J Ding, J Liu, J Wang, X Ge, R Wang, H Zuo Atmospheric Environment 251, 118273, 2021 | 48 | 2021 |
| Digital mapping of soil organic carbon using sentinel series data: A case study of the Ebinur Lake Watershed in Xinjiang X Li, J Ding, J Liu, X Ge, J Zhang Remote Sensing 13 (4), 769, 2021 | 42 | 2021 |
| Characteristics of dust aerosols and identification of dust sources in Xinjiang, China J Liu, J Ding, M Rexiding, X Li, J Zhang, S Ran, Q Bao, X Ge Atmospheric Environment 262, 118651, 2021 | 39 | 2021 |
| Estimation of soil organic carbon content in the Ebinur Lake wetland, Xinjiang, China, based on multisource remote sensing data and ensemble learning algorithms B Xie, J Ding, X Ge, X Li, L Han, Z Wang Sensors 22 (7), 2685, 2022 | 36 | 2022 |
| Characteristics of aerosol optical depth over land types in central Asia J Liu, J Ding, L Li, X Li, Z Zhang, S Ran, X Ge, J Zhang, J Wang Science of the Total Environment 727, 138676, 2020 | 34 | 2020 |
| Evaluation of total nitrogen in water via airborne hyperspectral data: potential of fractional order discretization algorithm and discrete wavelet transform analysis J Liu, J Ding, X Ge, J Wang Remote Sensing 13 (22), 4643, 2021 | 30 | 2021 |
| Environmental sensitive variable optimization and machine learning algorithm using in soil salt prediction at oasis F Wang, S Yang, J Ding, Y Wei, X Ge, J Liang Trans. Chin. Soc. Agric. Eng 34, 102-110, 2018 | 29 | 2018 |
| Retrieval of fine-resolution aerosol optical depth (AOD) in semiarid urban areas using Landsat data: A case study in Urumqi, NW China X Chen, J Ding, J Wang, X Ge, M Raxidin, J Liang, X Chen, Z Zhang, ... Remote Sensing 12 (3), 467, 2020 | 26 | 2020 |
| Spatial prediction of soil salinity based on the Google Earth Engine platform with multitemporal synthetic remote sensing images S Ma, B He, X Ge, X Luo Ecological Informatics 75, 102111, 2023 | 24 | 2023 |
Jingzhe WangShenzhen Polytechnic University, Shenzhen University, Xinjiang UniversityBestätigte E-Mail-Adresse bei szpt.edu.cn