Dr. Yichuan Li Profile

Dr. Yichuan Li

at AGRS

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Publications (7)

Proceedings Article | 24 November 2021 Paper

Analysis of groundwater system characteristic in the Badain Jaran desert and its causes based on GF-2 satellite remote sensing data

He Peng, Chen Hong, Li Yichuan

Proceedings Volume 12065, 1206528 (2021) https://doi.org/10.1117/12.2606221

KEYWORDS: Remote sensing, Satellites, Vegetation, Climatology, Spatial resolution, Satellite imaging, Near infrared, Image fusion, Earth observing sensors, Data analysis

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SPIE Journal Paper | 20 September 2021 Open Access

3D autoencoder algorithm for lithological mapping using ZY-1 02D hyperspectral imagery: a case study of Liuyuan region

Junchuan Yu, Liang Zhang, Qiang Li, Yichuan Li, Wei Huang, Zhiwei Sun, Yanni Ma, Peng He

JARS, Vol. 15, Issue 04, 042610, (September 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.042610

KEYWORDS: Hyperspectral imaging, 3D image processing, Machine learning, 3D modeling, Minerals, Computer programming, Associative arrays, Satellites, Data modeling, Spatial resolution

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Proceedings Article | 12 March 2021 Paper

Multi-period dynamic evaluation of soil loss in loess area

Yanni Ma, Yichuan Li, Xian Zhang, Junchuan Yu, Rongyuan Liu, Bokun Yan, Fuping Gan, Xinfeng Dong, Na Li, Yi Guo, Juan Bai

Proceedings Volume 11763, 117637S (2021) https://doi.org/10.1117/12.2587481

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The loess area is located in the middle and upper reaches of the Yellow River Basin. This area has a large area of ecologically sensitive areas and fragile areas, and it is the region with the most serious soil erosion in the country. A lot of loess is attached to the surface of the loess area, the vegetation is relatively sparse, and the seasonal rainfall is obvious. Therefore, the amount of soil erosion is large, which has a significant impact on the soil fertility of the loess area. At the same time, a large amount of soil erosion poses a huge challenge to environmental protection in the middle and lower reaches. Therefore, the problem of soil erosion is a key phenomenon that needs attention in the loess area. This paper takes the loess area of Tongwei-Zhuanglang area in Gansu Province as the research object, uses the multi-year remote sensing image classification data as the background (2000, 2005, 2010, 2015), combined with meteorological data (this data is released according to CRU The global 0.5° climate data set and the high-resolution climate data set for China released by CNERN were generated by the Delta spatial downscaling scheme in the Loess Plateau area), soil data, and soil parameter data (source 1 from the second soil census: 1 million Chinese soil maps), topographic data (DEM), vegetation coverage data, and the use of an improved universal soil loss equation (RULSE) model to carry out soil erosion in the region for many years (2000, 2005, 2010, 2015) Strength information extraction and classification. Contrast and analyze the degree of soil erosion in the area for many years, and evaluate the local soil erosion prevention measures. Studies have shown that from 2000, 2010, and 2015, the degree of soil loss gradually decreased, and the total amount of soil loss gradually decreased. However, due to the abnormally reduced precipitation in 2005, the soil erosion was generally low, which was an abnormal situation. Overall, soil erosion has continued to decrease in recent years, and the effects of soil and water conservation have been remarkable.

Proceedings Article | 12 March 2021 Paper

Analysis of seismic controlling factors of the Danjiangkou reservoir based on remote sensing and aeromagnetic data

Yichuan Li, Junchuan Yu, Xuezhong Yu, Jiaojiao Li, Jingyan Hao, Hongyan Xu, Xue Yang

Proceedings Volume 11763, 117635P (2021) https://doi.org/10.1117/12.2587261

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Proceedings Article | 12 March 2021 Paper

Comparison of GaoFen-5 hyperspectral and airborne hyperspectral imagery: case study of Gossan identification in Subei area

Junchuan Yu, Yichuan Li, Bokun Yan, Rongyuan Liu, Yanni Ma, Fuping Gan, Liang Zhang

Proceedings Volume 11763, 117635J (2021) https://doi.org/10.1117/12.2587248

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Proceedings Article | 5 November 2020 Paper

Knowledge guided classification of airborne hyperspectral images with deep convolutional neural network

Junchuan Yu, Yichuan Li, Siqun Zheng, Zhitao Shao, Rongyuan Liu, Yanni Ma, Fuping Gan

Proceedings Volume 11566, 115660D (2020) https://doi.org/10.1117/12.2576383

KEYWORDS: Image classification, Hyperspectral imaging, Data modeling, Remote sensing, Convolutional neural networks

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Proceedings Article | 17 April 2020 Paper

Radiometric optimization of airborne hyperspectral imagery for large-scale geological applications

Junchuan Yu, Yichuan Li, Xiangxiang Zheng, Yanni Ma, Xiao Jiang, Fuping Gan

Proceedings Volume 11455, 114553H (2020) https://doi.org/10.1117/12.2564651

KEYWORDS: Airborne remote sensing, Hyperspectral imaging, Minerals, Radiometric corrections, Remote sensing, Statistical modeling

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Showing 5 of 7 publications

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