Applicability of personal laser scanning in forestry inventory S Chen, H Liu, Z Feng, C Shen, P Chen PLoS One 14 (2), e0211392, 2019 | 126 | 2019 |
Identifying forest fire driving factors and related impacts in china using random forest algorithm W Ma, Z Feng, Z Cheng, S Chen, F Wang Forests 11 (5), 507, 2020 | 96 | 2020 |
Forest fire occurrence prediction in China based on machine learning methods Y Pang, Y Li, Z Feng, Z Feng, Z Zhao, S Chen, H Zhang Remote Sensing 14 (21), 5546, 2022 | 56 | 2022 |
Application of the artificial neural network and support vector machines in forest fire prediction in the guangxi autonomous region, China Y Li, Z Feng, S Chen, Z Zhao, F Wang Discrete Dynamics in Nature and Society 2020 (1), 5612650, 2020 | 48 | 2020 |
Effects of canopy and multi-epoch observations on single-point positioning errors of a GNSS in coniferous and broadleaved forests T Feng, S Chen, Z Feng, C Shen, Y Tian Remote Sensing 13 (12), 2325, 2021 | 24 | 2021 |
Nondestructive estimation of the above-ground biomass of multiple tree species in boreal forests of china using terrestrial laser scanning S Chen, Z Feng, P Chen, T Ullah Khan, Y Lian Forests 10 (11), 936, 2019 | 22 | 2019 |
Tea cultivation suitability evaluation and driving force analysis based on AHP and geodetector results: A case study of Yingde in Guangdong, China P Chen, C Li, S Chen, Z Li, H Zhang, C Zhao Remote Sensing 14 (10), 2412, 2022 | 12 | 2022 |
Terrestrial Videogrammetry for Deriving Key Forest Inventory Data: A Case Study in Plantation Y Lian, Z Feng, Y Huai, H Lu, S Chen, N Li Remote Sensing 13 (16), 3138, 2021 | 3 | 2021 |