| Hyperspectral remote sensing of fire: State-of-the-art and future perspectives S Veraverbeke, P Dennison, I Gitas, G Hulley, O Kalashnikova, T Katagis, ... Remote Sensing of Environment 216, 105-121, 2018 | 181 | 2018 |
| Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California R Meng, PE Dennison, C Huang, MA Moritz, C D'Antonio Remote Sensing of Environment 171, 311-325, 2015 | 176 | 2015 |
| Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem R Meng, J Wu, KL Schwager, F Zhao, PE Dennison, BD Cook, K Brewster, ... Remote Sensing of Environment 191, 95-109, 2017 | 131 | 2017 |
| From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance SP Serbin, J Wu, KS Ely, EL Kruger, PA Townsend, R Meng, BT Wolfe, ... New Phytologist 224 (4), 1557-1568, 2019 | 125 | 2019 |
| 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 | 123 | 2018 |
| Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm Y Xu, L Yu, D Peng, J Zhao, Y Cheng, X Liu, W Li, R Meng, X Xu, P Gong Science China Earth Sciences 63, 1390-1407, 2020 | 112 | 2020 |
| Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest J Wu, H Kobayashi, SC Stark, R Meng, K Guan, NN Tran, S Gao, W Yang, ... New Phytologist 217 (4), 1507-1520, 2018 | 96 | 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 | 91 | 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 | 86 | 2022 |
| Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images L Guo, P Fu, T Shi, Y Chen, H Zhang, R Meng, S Wang Soil and Tillage Research 196, 104477, 2020 | 85 | 2020 |
| Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands R Meng, PE Dennison, CM D’Antonio, MA Moritz Plos One 9 (10), e110637, 2014 | 75 | 2014 |
| 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 | 58 | 2016 |
| 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 | 57 | 2020 |
| The phenology of leaf quality and its within‐canopy variation are essential for accurate modeling of photosynthesis in tropical evergreen forests J Wu, SP Serbin, X Xu, LP Albert, M Chen, R Meng, SR Saleska, ... Global Change Biology, 2017 | 57 | 2017 |
| 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 | 49 | 2022 |
| A multi-sensor unoccupied aerial system improves characterization of vegetation composition and canopy properties in the Arctic tundra D Yang, R Meng, BD Morrison, A McMahon, W Hantson, DJ Hayes, ... Remote Sensing 12 (16), 2638, 2020 | 47 | 2020 |
| Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta J Ning, Z Gao, R Meng, F Xu, M Gao Frontiers of earth science 12, 444-456, 2018 | 39 | 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 | 38 | 2017 |
| Wheat yield prediction based on unmanned aerial vehicles-collected red–green–blue imagery L Zeng, G Peng, R Meng, J Man, W Li, B Xu, Z Lv, R Sun Remote Sensing 13 (15), 2937, 2021 | 36 | 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 | 35 | 2022 |
Shawn SerbinSupervisory Research AST Earth Science Remote Sensing, NASA Goddard Space Flight CenterZweryfikowany adres z nasa.gov
