Junnan Jiao

发表

Optical quantification of oil emulsions in multi-band coarse-resolution imagery using a lab-derived HSV model.

Yingcheng Lu, Junnan Jiao, Yongxue Liu, 2022, Marine pollution bulletin.

Uncertainty in the optical remote estimation of the biomass of Ulva prolifera macroalgae using MODIS imagery in the Yellow Sea.

Lianbo Hu, Minwei Zhang, Yingcheng Lu, 2019, Optics express.

Optical Extraction of Oil Spills From Satellite Images Under Different Sunglint Reflections

Manchun Li, Jing Ding, Yingcheng Lu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A comparison of multiple classifier combinations using different voting-weights for remote sensing image classification

Qingjiu Tian, Kaijian Xu, Huaifei Shen, 2018 .

Quantifying ocean surface oil thickness using thermal remote sensing

Chuanmin Hu, Shaojie Sun, Yingcheng Lu, 2021 .

Ultraviolet remote sensing of marine oil spills: a new approach of Haiyang-1C satellite.

Jing Ding, Yingcheng Lu, Junnan Jiao, 2021, Optics express.

Research on multispectral-image-based NDVI shadow-effect-eliminating model

Lin Gao, Q. Tian, Nianxu Xu, 2020, National Remote Sensing Bulletin.

Discrimination of Biomass-Burning Smoke From Clouds Over the Ocean Using MODIS Measurements

Yongxiang Hu, Minwei Zhang, Yingcheng Lu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Determining spectral groups to distinguish oil emulsions from Sargassum over the Gulf of Mexico using an airborne imaging spectrometer

Zhihua Mao, Minwei Zhang, Yingcheng Lu, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Optical interpretation of oil emulsions in the ocean - Part III: A three-dimensional unmixing model to quantify oil concentration

Chuanmin Hu, Yingcheng Lu, Junnan Jiao, 2023, Remote Sensing of Environment.

Discrimination of oceanic whitecaps derived by sea surface wind using Sentinel‐2 MSI images

Q. Tian, Yingcheng Lu, Junnan Jiao, 2022, Journal of Geophysical Research: Oceans.