Xiangqiang Li

发表

How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production

Chaoyang Wu, M. Ma, Xiaojuan Huang, 2022, Remote. Sens..

Development of a Phenology-Based Method for Identifying Sugarcane Plantation Areas in China Using High-Resolution Satellite Datasets

Jiefang Dong, Yi Zheng, Zhuoting Li, 2022, Remote. Sens..

An Improved Faster R-CNN Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images

Guoqing Li, Kaixuan Lu, Dongchuan Yan, 2021, Remote. Sens..

High spatial resolution vegetation gross primary production product: Algorithm and validation

S. Liang, M. Ma, Hui Zhang, 2022, Science of Remote Sensing.

Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning

Dongchuan Yan, Hao Zhang, Hua Lei, 2021, Remote. Sens..

How well can we predict vegetation growth through the coming growing season?

Ruoque Shen, Wenping Yuan, Bin He, 2022, Science of Remote Sensing.

Gaussian Process Gaussian Mixture PHD Filter for 3D Multiple Extended Target Tracking

T. Shan, Xianxun Yao, J. Sun, 2023, Remote Sensing.

A twenty-year dataset of high-resolution maize distribution in China

Yangyang Fu, Ruoque Shen, Tao Ye, 2023, Scientific data.