| Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem Ran Meng, Jin Wu, Kathy Schwager, Feng Zhao, Philip Dennison, Bruce Cook ... Remote Sensing of Environment 191, 95-109, 2017 | 123 | 2017 |
| Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques R Meng, J Wu, F Zhao, BD Cook, RP Hanavan, SP Serbin Remote Sensing of Environment 210, 282-296, 2018 | 105 | 2018 |
| Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa Y Xu, L Yu, FR Zhao, X Cai, J Zhao, H Lu, P Gong Remote Sensing of Environment 218, 13-31, 2018 | 92 | 2018 |
| Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements R Meng, PE Dennison, F Zhao, I Shendryk, A Rickert, RP Hanavan, ... Remote Sensing of Environment 215, 170-183, 2018 | 80 | 2018 |
| Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning F Zhao, R Sun, L Zhong, R Meng, C Huang, X Zeng, M Wang, Y Li, ... Remote Sensing of Environment 269, 112822, 2022 | 64 | 2022 |
| Long-term post-disturbance forest recovery in the greater Yellowstone ecosystem analyzed using Landsat time series stack FR Zhao, R Meng, C Huang, M Zhao, FA Zhao, P Gong, L Yu, Z Zhu Remote Sensing 8 (11), 898, 2016 | 53 | 2016 |
| Use of vegetation change tracker and support vector machine to map disturbance types in greater yellowstone ecosystems in a 1984–2010 Landsat time series F Zhao, C Huang, Z Zhu IEEE Geoscience and Remote Sensing Letters 12 (8), 1650-1654, 2015 | 50 | 2015 |
| Development of spectral disease indices for southern corn rust detection and severity classification R Meng, Z Lv, J Yan, G Chen, F Zhao, L Zeng, B Xu Remote Sensing 12 (19), 3233, 2020 | 41 | 2020 |
| An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features L Xu, L Zhou, R Meng, F Zhao, Z Lv, B Xu, L Zeng, X Yu, S Peng Precision Agriculture 23 (4), 1276-1301, 2022 | 33 | 2022 |
| Analysis of the 2014 “APEC Blue” in Beijing using more than one decade of satellite observations: Lessons learned from radical emission control measures R Meng, FR Zhao, K Sun, R Zhang, C Huang, J Yang Remote Sensing 7 (11), 15224-15243, 2015 | 32 | 2015 |
| Assessing biomass of diverse coastal marsh ecosystems using statistical and machine learning models Y Mo, MS Kearney, JCA Riter, F Zhao, DR Tilley International journal of applied earth observation and geoinformation 68 …, 2018 | 30 | 2018 |
| Remote sensing of fire effects: A review for recent advances in burned area and burn severity mapping R Meng, F Zhao Remote sensing of hydrometeorological hazards, 261-283, 2017 | 29 | 2017 |
| Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement Z Lv, R Meng, J Man, L Zeng, M Wang, B Xu, R Gao, R Sun, F Zhao International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 23 | 2021 |
| Landsat-based monitoring of southern pine beetle infestation severity and severity change in a temperate mixed forest R Meng, R Gao, F Zhao, C Huang, R Sun, Z Lv, Z Huang Remote Sensing of Environment 269, 112847, 2022 | 19 | 2022 |
| Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China M Wang, Y Zheng, C Huang, R Meng, Y Pang, W Jia, J Zhou, Z Huang, ... Forest Ecosystems 9, 100032, 2022 | 17 | 2022 |
| Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment L Zhou, R Meng, Y Tan, Z Lv, Y Zhao, B Xu, F Zhao Urban Forestry & Urban Greening 69, 127489, 2022 | 16 | 2022 |
| Increased burning in a warming climate reduces carbon uptake in the Greater Yellowstone Ecosystem despite productivity gains PD Henne, TJ Hawbaker, RM Scheller, F Zhao, HS He, W Xu, Z Zhu Journal of Ecology 109 (3), 1148-1169, 2021 | 9 | 2021 |
| Comparing historical and current wildfire regimes in the Northern Rocky Mountains using a landscape succession model F Zhao, R Keane, Z Zhu, C Huang Forest Ecology and Management 343, 9-21, 2015 | 9 | 2015 |
| Assessing the effects of fire disturbances and timber management on carbon storage in the greater Yellowstone ecosystem F Zhao, SP Healey, C Huang, JB McCarter, C Garrard, SA Goeking, Z Zhu Environmental management 62, 766-776, 2018 | 6 | 2018 |
| Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing R Meng, B Xu, F Zhao, Y Dong, CA Wang, R Sun, Y Zhou, L Zhou, S Gong, ... Urban Forestry & Urban Greening 75, 127670, 2022 | 5 | 2022 |
Ran MengProfessor, Harbin Institute of Technology & State Key Laboratory of Smart Farm Technology and SystemVerified email at hit.edu.cn
