| 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 | 128 | 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 | 114 | 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 | 100 | 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 | 86 | 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 | 76 | 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 | 56 | 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 | 51 | 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 | 47 | 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 | 40 | 2022 |
| 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 | 36 | 2017 |
| 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 | 32 | 2018 |
| 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 |
| 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 | 29 | 2022 |
| 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 | 26 | 2021 |
| 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 | 25 | 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 | 22 | 2022 |
| Improved weed mapping in corn fields by combining UAV‐based spectral, textural, structural, and thermal measurements B Xu, R Meng, G Chen, L Liang, Z Lv, L Zhou, R Sun, F Zhao, W Yang Pest Management Science 79 (7), 2591-2602, 2023 | 11 | 2023 |
| A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery Z Huang, L Zhong, F Zhao, J Wu, H Tang, Z Lv, B Xu, L Zhou, R Sun, ... ISPRS Journal of Photogrammetry and Remote Sensing 204, 397-420, 2023 | 10 | 2023 |
| 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 | 10 | 2015 |
| Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery R Sun, F Zhao, C Huang, H Huang, Z Lu, P Zhao, X Ni, R Meng Remote Sensing of Environment 298, 113821, 2023 | 9 | 2023 |
Ran MengProfessor, Harbin Institute of Technology & State Key Lab of Smart Farm Technologies and SystemsVerified email at hit.edu.cn