Zipeng Zhang

发表

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

Xiaohang Li, Jianli Ding, Yahui Guo, 2019, Geoderma.

Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2020 .

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 arid oasis, NW China.

Guofeng Wu, Tiezhu Shi, Jingzhe Wang, 2020, Environmental pollution.

Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest.

Zipeng Zhang, J. Ding, Chuanmei Zhu, 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Using spatiotemporal fusion algorithms to fill in potentially absent satellite images for calculating soil salinity: A feasibility study

Jianli Ding, Zipeng Zhang, Xiangyu Ge, 2022, Int. J. Appl. Earth Obs. Geoinformation.

SPAD monitoring of saline vegetation based on Gaussian mixture model and UAV hyperspectral image feature classification

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2022, Comput. Electron. Agric..

Changes in soil organic carbon stocks from 1980‐1990 and 2010‐2020 in the northwest arid zone of China

Zipeng Zhang, J. Ding, Haoxin Shi, 2022, Land Degradation & Development.

Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI.

Yi Wang, Bin He, Tiezhu Shi, 2020, The Science of the total environment.

Precipitation events determine the spatiotemporal distribution of playa surface salinity in arid regions: evidence from satellite data fused via the enhanced spatial and temporal adaptive reflectance fusion model

Panpan Chen, Jianli Ding, Jingzhe Wang, 2021 .

Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China

Jianli Ding, Jingzhe Wang, Xuankai Ma, 2021 .

Digital mapping of soil salinization based on Sentinel-1 and Sentinel-2 data combined with machine learning algorithms

Jianli Ding, Zipeng Zhang, Si Ran, 2021, Regional Sustainability.

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

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

Strategies for the efficient estimation of soil organic matter in salt-affected soils through Vis-NIR spectroscopy: Optimal band combination algorithm and spectral degradation

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2021 .

Estimation of soil organic matter in the Ogan-Kuqa River Oasis, Northwest China, based on visible and near-infrared spectroscopy and machine learning

Jianli Ding, Zipeng Zhang, Xiangyu Ge, 2023, Journal of Arid Land.

Estimation of Soil Organic Matter in Arid Zones with Coupled Environmental Variables and Spectral Features

Jianli Ding, Zipeng Zhang, Zheng Wang, 2022, Sensors.

Combination of efficient signal pre-processing and optimal band combination algorithm to predict soil organic matter through visible and near-infrared spectra.

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2020, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Hyperspectral monitor of soil chromium contaminant based on deep learning network model in the Eastern Junggar coalfield.

M. Pietikäinen, Li Liu, Jingzhe Wang, 2021, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

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 .

Exploring the inter-decadal variability of soil organic carbon in China

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2023, CATENA.

Historical and future variation of soil organic carbon in China

Jianli Ding, Jingzhe Wang, Zipeng Zhang, 2023, Geoderma.

Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons

Haobo Shi, Jianli Ding, Jingzhe Wang, 2023, Land Degradation & Development.

Revealing the scale‐ and location‐specific variation and control factors of soil salinity using bi‐dimensional empirical modal decomposition

Jianli Ding, Zipeng Zhang, Chuanmei Zhu, 2022, Land Degradation & Development.

Assessing Soil Organic Matter Content in a Coal Mining Area through Spectral Variables of Different Numbers of Dimensions

Hongwei Wang, Shengtian Yang, Jingzhe Wang, 2020, Sensors.

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 .