| Measuring the dead component of mixed grassland with Landsat imagery D Xu, X Guo, Z Li, X Yang, H Yin Remote Sensing of Environment 142, 33-43, 2014 | 92 | 2014 |
| Remote sensing of ecosystem health: opportunities, challenges, and future perspectives Z Li, D Xu, X Guo Sensors 14 (11), 21117-21139, 2014 | 90 | 2014 |
| Remote sensing of terrestrial non-photosynthetic vegetation using hyperspectral, multispectral, SAR, and LiDAR data Z Li, X Guo Progress in Physical Geography 40 (2), 276-304, 2016 | 67 | 2016 |
| Detecting climate effects on vegetation in northern mixed prairie using NOAA AVHRR 1-km time-series NDVI data Z Li, X Guo Remote Sensing 4 (1), 120-134, 2012 | 64 | 2012 |
| A hydrological and water temperature modelling framework to simulate the timing of river freeze-up and ice-cover breakup in large-scale catchments LA Morales-Marin, PR Sanyal, H Kadowaki, Z Li, P Rokaya, ... Environmental Modelling & Software 114, 49-63, 2019 | 44 | 2019 |
| A novel stochastic modelling approach for operational real-time ice-jam flood forecasting KE Lindenschmidt, P Rokaya, A Das, Z Li, D Richard Journal of Hydrology 575, 381-394, 2019 | 41 | 2019 |
| A suitable vegetation index for quantifying temporal variation of leaf area index (LAI) in semiarid mixed grassland Z Li, X Guo Canadian Journal of Remote Sensing 36 (6), 709-721, 2010 | 40 | 2010 |
| Non-photosynthetic vegetation biomass estimation in semiarid Canadian mixed grasslands using ground hyperspectral data, Landsat 8 OLI, and Sentinel-2 images Z Li, X Guo International Journal of Remote Sensing 39 (20), 6893-6913, 2018 | 35 | 2018 |
| Comparison of laboratory and field remote sensing methods to measure forage quality X Guo, JF Wilmshurst, Z Li International journal of environmental research and public health 7 (9 …, 2010 | 35 | 2010 |
| Remote sensing of leaf area index (LAI) and a spatiotemporally parameterized model for mixed grasslands L Shen, Z Li, X Guo International Journal of Applied Science and Technology 4 (1), 46-61, 2014 | 28 | 2014 |
| Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis X Fang, X Guo, C Zhang, H Shao, S Zhu, Z Li, X Feng, B He Science of the total environment 668, 631-644, 2019 | 25 | 2019 |
| Monitoring river ice cover development using the Freeman–Durden decomposition of quad-pol Radarsat-2 images KE Lindenschmidt, Z Li Journal of Applied Remote Sensing 12 (2), 026014-026014, 2018 | 21 | 2018 |
| Applicability of Land Surface Temperature (LST) estimates from AVHRR satellite image composites in northern Canada Z Li, X Gu, P Dixon, Y He Prairie Perspectives, 2008 | 21 | 2008 |
| Radar scatter decomposition to differentiate between running ice accumulations and intact ice covers along rivers KE Lindenschmidt, Z Li Remote Sensing 11 (3), 307, 2019 | 17 | 2019 |
| Potential of RADARSAT-2 to improve ice thickness calculations in remote, poorly accessible areas: A case study on the Slave River, Canada F Zhang, Z Li, KE Lindenschmidt Canadian Journal of Remote Sensing 45 (2), 234-245, 2019 | 15 | 2019 |
| Spatial variations and long-term trends of potential evaporation in Canada Z Li, S Wang, J Li Scientific reports 10 (1), 22089, 2020 | 14 | 2020 |
| A suitable NDVI product for monitoring spatiotemporal variations of LAI in semiarid mixed grassland Z Li, X Guo Canadian Journal of Remote Sensing 38 (6), 683-694, 2013 | 11 | 2013 |
| Water yield variability and response to climate change across Canada Z Li, S Wang Hydrological Sciences Journal 66 (7), 1169-1184, 2021 | 7 | 2021 |
| Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers Z Li, KE Lindenschmidt Canadian Journal of Remote Sensing 44 (1), 11-25, 2018 | 7 | 2018 |
| Effects of classification approaches on CRHM model performance X Guo, JW Pomeroy, X Fang, S Lowe, Z Li, C Westbrook, A Minke Remote sensing letters 3 (1), 39-47, 2012 | 7 | 2012 |