| Near real-time extracting wildfire spread rate from Himawari-8 satellite data X Liu, B He, X Quan, M Yebra, S Qiu, C Yin, Z Liao, H Zhang Remote Sensing 10 (10), 1654, 2018 | 57 | 2018 |
| Real-time forest fire detection by ensemble lightweight YOLOX-L and defogging method J Huang, Z He, Y Guan, H Zhang Sensors 23 (4), 1894, 2023 | 38 | 2023 |
| Improving land cover change detection and classification with Brdf correction and spatial feature extraction using Landsat time series: a case of urbanization in Tianjin, China Y Guan, Y Zhou, B He, X Liu, H Zhang, S Feng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 33 | 2020 |
| Extraction of areas of rice false smut infection using UAV hyperspectral data G An, M Xing, B He, H Kang, J Shang, C Liao, X Huang, H Zhang Remote sensing 13 (16), 3185, 2021 | 14 | 2021 |
| Mapping paddy rice in complex landscapes with Landsat time series data and superpixel-based deep learning method H Zhang, B He, J Xing Remote Sensing 14 (15), 3721, 2022 | 10 | 2022 |
| Drought-related wildfire accounts for one-third of the forest wildfires in subtropical China J Yin, B He, C Fan, R Chen, H Zhang, Y Zhang Agricultural and Forest Meteorology 346, 109893, 2024 | 9 | 2024 |
| Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes R Chen, B He, Y Li, C Fan, J Yin, H Zhang, Y Zhang Journal of environmental management 351, 120005, 2024 | 8 | 2024 |
| Spatial and temporal patterns of rice planthopper populations in South and Southwest China H Zhang, B He, J Xing, M Lu Computers and Electronics in Agriculture 194, 106750, 2022 | 7 | 2022 |
| Deep spatial and temporal graph convolutional network for rice planthopper population dynamic forecasting H Zhang, B He, J Xing, M Lu Computers and Electronics in Agriculture 210, 107868, 2023 | 6 | 2023 |
| Rice false smut monitoring based on band selection of UAV hyperspectral data Y Wang, M Xing, H Zhang, B He, Y Zhang Remote Sensing 15 (12), 2961, 2023 | 6 | 2023 |
| Assessing the potential for global solar energy utilization H Zhang, B He, Y Guan, M Ma, Y Li, S Song 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 4 | 2017 |
| Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation C Fan, B He, J Yin, R Chen, H Zhang GIScience & Remote Sensing 61 (1), 2324556, 2024 | 3 | 2024 |
| Estimating paddy rice area in Southren China with multi-temporal MODIS data S Feng, B He, H Zhang, M Xing, Y Zhou IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 3 | 2019 |
| The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests Y Zhang, B He, R Chen, H Zhang, C Fan, J Yin, Y Li GIScience & Remote Sensing 61 (1), 2345438, 2024 | 2 | 2024 |
| Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China R Chen, B He, Y Li, Y Zhang, Z Liao, C Fan, J Yin, H Zhang International Journal of Applied Earth Observation and Geoinformation 132 …, 2024 | 2 | 2024 |
| First Assessment of Dual Polarization Sentinel-1A Data for Fuel Moisture Content Retrieval L Wang, B He, X Quan, M Xing, H Zhang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
| Assessment of Global Wind Energy Resource Utilization Potential M Ma, B He, Y Guan, H Zhang, S Song The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 1 | 2017 |
| Forecasting Dead Fuel Moisture Content at Spatial Scales Using a Process-Based Model with Global Forecast System Data C Fan, B He, J Yin, R Chen, H Zhang, Y Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| 水稻药肥精准施用大数据平台设计与实现 何彬彬， 曹辉， 张宏国， 陈建华， 李彦樨， 安刚强， 范春全 中国农业信息 32 (1), 9-20, 2020 | | 2020 |
| Analysis of Impervious Surface Change and Economy in Tianjin, China Using Landsat Time Series Data Y Zhou, B He, X Liu, H Zhang, M Xing, S Feng IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | | 2019 |
