| A radiative transfer model-based method for the estimation of grassland aboveground biomass X Quan, B He, M Yebra, C Yin, Z Liao, X Zhang, X Li International Journal of Applied Earth Observation and Geoinformation 54 …, 2017 | 94 | 2017 |
| Retrieval of forest fuel moisture content using a coupled radiative transfer model X Quan, B He, M Yebra, C Yin, Z Liao, X Li Environmental Modelling & Software 95, 290-302, 2017 | 72 | 2017 |
| 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 | 48 | 2018 |
| Biomass estimation in dense tropical forest using multiple information from single-baseline P-band PolInSAR data Z Liao, B He, X Quan, AIJM van Dijk, S Qiu, C Yin Remote sensing of environment 221, 489-507, 2019 | 43 | 2019 |
| Improving burn severity retrieval by integrating tree canopy cover into radiative transfer model simulation C Yin, B He, M Yebra, X Quan, AC Edwards, X Liu, Z Liao Remote Sensing of Environment 236, 111454, 2020 | 35 | 2020 |
| Chlorophyll content estimation in arid grasslands from Landsat-8 OLI data C Yin, B He, X Quan, Z Liao International Journal of Remote Sensing 37 (3), 615-632, 2016 | 27 | 2016 |
| Assessments of sentinel-2 vegetation red-edge spectral bands for improving land cover classification S Qiu, B He, C Yin, Z Liao The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 24 | 2017 |
| Desertification assessment and trend analysis using modis data Y Guan, B He, X Li, C Yin, S Qiu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 7 | 2017 |
| Relationships between burn severity and environmental drivers in the temperate coniferous forest of northern China C Yin, M Xing, M Yebra, X Liu Remote Sensing 13 (24), 5127, 2021 | 6 | 2021 |
| Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires C Yin, B He, X Quan, M Yebra, G Lai Remote Sensing 12 (21), 3590, 2020 | 6 | 2020 |
| Near real-time extracting wildfire spread rate from Himawari-8 satellite data, Remote Sens., 10, 1654 X Liu, B He, X Quan, M Yebra, S Qiu, C Yin, Z Liao, H Zhang | 6 | 2018 |
| Recent change of vegetation growth trend and its relations with climate factors in Sichuan, China X Li, B He, X Quan, C Yin, Z Liao, S Qiu, X Bai 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 6 | 2015 |
| A mineral resources quantitative assessment and 3D visualization system S Qiu, B He, X Bai, X Li, Z Liao, C Yin 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 4 | 2015 |
| Retrieval of canopy water content using multiple priori inromation X Quan, B He, X Li, C Yin, Z Liao, M Xing 2014 IEEE Geoscience and Remote Sensing Symposium, 1863-1866, 2014 | 4 | 2014 |
| Constructing a global grassland drought index (GDI) product based on MODIS and ancillary data Z Liao, B He, X Quan, X Bai, C Yin, X Li, S Qiu 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 2 | 2015 |
| Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data C Yin, B He, M Yebra, X Quan, AC Edwards, X Liu, Z Liao, K Luo IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
| Advancements and Applications for Fire Severity and Fuel Mapping A Leavesley, M Yebra, A Van Dijk, C Yin, B Levine, N Cooper Fire Behavior and Fuels Conference, 2019 | 1 | 2019 |
| Retrieving grassland canopy water content by considering the information from neighboring pixels B He, X Quan, D Xu, C Yin, Z Liao, S Qiu, J Ge, Z Zhang Photogrammetric Engineering & Remote Sensing 83 (8), 553-565, 2017 | 1 | 2017 |
| Estimation of grassland biophysical variables for Lake Qinghai watershed: Moving towards remote sensing products C Yin, B He, X Quan, X Zhang, J Ge, Z Zhang 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | | 2017 |
Zhanmang LiaoUniversity of Electronic Science and Technology of China在 std.uestc.edu.cn 的电子邮件经过验证
