Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery S Li, L Xiong, G Tang, J Strobl Geomorphology 354, 107045, 2020 | 119 | 2020 |
Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface LY Xiong, GA Tang, FY Li, BY Yuan, ZC Lu Geomorphology 209, 18-26, 2014 | 100 | 2014 |
Geomorphology-oriented digital terrain analysis: Progress and perspectives L Xiong, G Tang, X Yang, F Li Journal of Geographical Sciences 31, 456-476, 2021 | 97 | 2021 |
Multi-modal deep learning for landform recognition L Du, X You, K Li, L Meng, G Cheng, L Xiong, G Wang ISPRS Journal of Photogrammetry and Remote Sensing 158, 63-75, 2019 | 69 | 2019 |
Landform‐oriented flow‐routing algorithm for the dual‐structure loess terrain based on digital elevation models L Xiong, G Tang, S Yan, S Zhu, Y Sun Hydrological Processes 28 (4), 1756-1766, 2014 | 63 | 2014 |
Geomorphometry and terrain analysis: data, methods, platforms and applications L Xiong, S Li, G Tang, J Strobl Earth-Science Reviews, 104191, 2022 | 60 | 2022 |
Chinese progress in geomorphometry G Lv, L Xiong, M Chen, G Tang, Y Sheng, X Liu, Z Song, Y Lu, Z Yu, ... Journal of Geographical Sciences 27, 1389-1412, 2017 | 59 | 2017 |
Natural topographic controls on the spatial distribution of poverty-stricken counties in China L Zhou, LY Xiong Applied Geography 90, 282-292, 2018 | 57 | 2018 |
Effects of DEM resolution on the accuracy of gully maps in loess hilly areas W Dai, X Yang, J Na, J Li, D Brus, L Xiong, G Tang, X Huang Catena 177, 114-125, 2019 | 56 | 2019 |
Spatial variation of hypsometric integral in the Loess Plateau based on DEM SJ Zhu, GA Tang, FY Li, LY Xiong Acta Geographica Sinica 68 (7), 921-932, 2013 | 56* | 2013 |
Geomorphological inheritance for loess landform evolution in a severe soil erosion region of Loess Plateau of China based on digital elevation models LY Xiong, GA Tang, BY Yuan, ZC Lu, FY Li, L Zhang Science China Earth Sciences 57 (8), 1944-1952, 2014 | 54* | 2014 |
Automatic recognition of loess landforms using Random Forest method W Zhao, L Xiong, H Ding, G Tang Journal of Mountain Science 14, 885-897, 2017 | 51 | 2017 |
Extraction of terraces on the Loess Plateau from high-resolution DEMs and imagery utilizing object-based image analysis H Zhao, X Fang, H Ding, J Strobl, L Xiong, J Na, G Tang ISPRS International Journal of Geo-Information 6 (6), 157, 2017 | 49 | 2017 |
Paleotopographic controls on loess deposition in the Loess Plateau of China LY Xiong, GA Tang, J Strobl, A Zhu Earth Surface Processes and Landforms 41 (9), 1155-1168, 2016 | 49 | 2016 |
Integrating topographic knowledge into deep learning for the void-filling of digital elevation models S Li, G Hu, X Cheng, L Xiong, G Tang, J Strobl Remote Sensing of Environment 269, 112818, 2022 | 44 | 2022 |
Slope spectrum critical area and its spatial variation in the Loess Plateau of China G Tang, X Song, F Li, Y Zhang, L Xiong Journal of Geographical Sciences 25 (12), 1452-1466, 2015 | 39 | 2015 |
Integrated edge detection and terrain analysis for agricultural terrace delineation from remote sensing images W Dai, J Na, N Huang, G Hu, X Yang, G Tang, L Xiong, F Li International Journal of Geographical Information Science 34 (3), 484-503, 2020 | 34 | 2020 |
Spatial–temporal variation of land use and land cover change in the glacial affected area of the Tianshan Mountains H Wei, L Xiong, G Tang, J Strobl, K Xue Catena 202, 105256, 2021 | 33 | 2021 |
Drainage basin object-based method for regional-scale landform classification: a case study of loess area in China LY Xiong, AX Zhu, L Zhang, GA Tang Physical Geography 39 (6), 523-541, 2018 | 33 | 2018 |
Optimized segmentation based on the weighted aggregation method for loess bank gully mapping H Ding, K Liu, X Chen, L Xiong, G Tang, F Qiu, J Strobl Remote Sensing 12 (5), 793, 2020 | 29 | 2020 |