Representative Journal Articles


I have authored or co-authored a long list of scholarly publications, and here is a subset of my representative peer-reviewed journal articles since 2010:

Lai, F. and Yang, X. 2022. Improving land cover mapping over a large coastal city through stacked generalization with filtered training samples. Photogrammetric Engineering and Remote Sensing, 88(7):451-459. Winner of the 2023 ESRI Award for Best Scientific Paper in GIS given by American Society for Photogrammetry and Remote Sensing (ASPRS). 

Liang, J., Ding, Z., Jiang, Z., Yang, X., Xiao, R., Singh, P., Hu, Y., Zhang, Z., and Hu, H. 2021. Climate change, habitat connectivity and conservation gaps: A case study on four endemic ungulate species on the Tibetan Plateau. Landscape Ecology, 36:1071-1087

Zhang, F. and Yang, X. 2020. Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection. Remote Sensing of Environment, 251, Https://doi.org/10.1016/j.rse.2020.112105

Lai, F. and Yang, X. 2020. Integrating spectral and non-spectral information to improve urban settlement mapping in a large Latin-American city. GIScience & Remote Sensing, 57(6):830-844

Sun, R., Lu, Y., Yang, X., and Chen, L. 2019. Understanding the variability of urban heat islands from local background climate and urbanization. Journal of Cleaner Production, 208:743-752

Sharma, A., Liu, X., and Yang, X. 2018. Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks. Neural Networks, 105:346–355

Shi, D. and Yang, X. 2017. Mapping Vegetation and Land Cover in a Large Urban Area with a Multiple Classifier System. International Journal of Remote Sensing, 38(16):4700-4721

Shi, D. and Yang, X. 2016. An Assessment of Algorithmic Parameters Affecting Image Classification Accuracy by Random Forests. Photogrammetric Engineering and Remote Sensing, 82(6):407-417

Liu, T. and Yang, X. 2015. Monitoring Land Changes in an Urban Area using Satellite Imagery, GIS and Landscape Metrics. Applied Geography, 56(1):42-52

Liu, T. and Yang, X. 2013. Mapping Urban Vegetation Using Hierarchical Classification and Multiple Endmember Spectral Mixture Analysis. Remote Sensing of Environment, 133:251-264

Yang, X.
2012. An Assessment of Landscape Characteristics Affecting Estuarine Nitrogen Loading in An Urban Watershed. Journal of Environmental Management, 90(1): 50-60

Wang, J. and Yang, X. 2012. A Hierarchical Approach to Forest Landscape Pattern Characterization. Environmental Management, 49(1): 64-81

Zhou, L. and Yang, X. 2011. An Assessment of Internal Neural Network Parameters Affecting Image Classification Accuracy. Photogrammetric Engineering and Remote Sensing, 77(12):1233-1240

Yang, X
. 2011. Parameterizing Support Vector Machines for Land Cover Classification. Photogrammetric Engineering and Remote Sensing, 77(1):27-37

Yang, X
. and Chen, L. 2010. Using Multi-temporal Remote Sensor Imagery to Detect Earthquake-Triggered Landslides. International Journal of Applied Earth Observation and Geoinformation, 12(6):487-495

Zhou, L. and Yang, X. 2010. Training Algorithm Performance for Image Classification by Neural Networks. Photogrammetric Engineering and Remote Sensing, 76(8):945-951


Last update: Monday, January 30, 2023 10:52 PM