Xiangyuan Ding

According to our database, Xiangyuan Ding authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Global degradation trends of grassland and their driving factors since 2000.

Ziyu Yan, Zhihai Gao, Bin Sun, Xiangyuan Ding, Ting Gao, Yifu Li

Int. J. Digit. Earth, December, 2023

2022

An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height.

Junpeng Zhao, Lei Zhao, Erxue Chen, Zengyuan Li, Kunpeng Xu, Xiangyuan Ding

Remote. Sens., 2022

Methods of Sandy Land Detection in a Sparse-Vegetation Scene Based on the Fusion of HJ-2A Hyperspectral and GF-3 SAR Data.

Yi Li, Junjun Wu, Bo Zhong, Xiaoliang Shi, Kunpeng Xu, Kai Ao, Bin Sun, Xiangyuan Ding, Xinshuang Wang, Qinhuo Liu, Aixia Yang, Fei Chen, Mengqi Shi

Remote. Sens., 2022

2019

The Monitoring and Dynamic Analysis for Otindag Sandy Land based on Object-Oriented Method.

Junjun Wu, Xiangyuan Ding, Changlong Li, Zhihai Gao, Bo Zhong

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

2018

Dynamic Change Monitoring and Assessment for Sandy Land Based on Quantitative Remote Sensing.

Junjun Wu, Zhihai Gao, Qinhuo Liu, Zengyuan Li, Bo Zhong, Bin Sun, Xiangyuan Ding, Changlong Li, Hongyan Wang, Aixia Yang, Xinshuang Wang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

NPP Estimation Using Time-Series GF-1 Data in Sparse Vegetation Area.

Bin Sun, Zengyuan Li, Zhihai Gao, Wentao Gao, Yuanyuan Zhang, Xiangyuan Ding, Changlong Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016

Vegetation fraction inversion and influence analysis of annual ephemeral plants on sandy land evaluation.

Junjun Wu, Zhihai Gao, Bo Zhong, Zengyuan Li, Qinhuo Liu, Xiangyuan Ding, Bin Sun

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016