| Variability and climate change trend in vegetation phenology of recent decades in the Greater Khingan Mountain area, Northeastern China H Tang, Z Li, Z Zhu, B Chen, B Zhang, X Xin Remote sensing 7 (9), 11914-11932, 2015 | 77 | 2015 |
| Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms Z Qiu, F Ma, Z Li, X Xu, H Ge, C Du Computers and Electronics in Agriculture 189, 106421, 2021 | 69 | 2021 |
| The superiority of the normalized difference phenology index (NDPI) for estimating grassland aboveground fresh biomass D Xu, C Wang, J Chen, M Shen, B Shen, R Yan, Z Li, A Karnieli, J Chen, ... Remote Sensing of Environment 264, 112578, 2021 | 59 | 2021 |
| Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China Z LI, X XIN, T Huan, Y Fan, B CHEN, B ZHANG Journal of Integrative Agriculture 16 (2), 286-297, 2017 | 58 | 2017 |
| Predicting grassland leaf area index in the meadow steppes of northern china: A comparative study of regression approaches and hybrid geostatistical methods Z Li, J Wang, H Tang, C Huang, F Yang, B Chen, X Wang, X Xin, Y Ge Remote Sensing 8 (8), 632, 2016 | 45 | 2016 |
| Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China Z Li, L Ding, D Xu Science of The Total Environment 815, 152880, 2022 | 40 | 2022 |
| Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data Q Jiao, B Zhang, L Liu, Z Li, Y Yue, Y Hu Natural hazards 70, 1309-1326, 2014 | 39 | 2014 |
| Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe L Ding, Z Li, B Shen, X Wang, D Xu, R Yan, Y Yan, X Xin, J Xiao, M Li, ... Science of The Total Environment 803, 149700, 2022 | 36 | 2022 |
| Estimating plant nitrogen concentration of rice through fusing vegetation indices and color moments derived from UAV-RGB images H Ge, H Xiang, F Ma, Z Li, Z Qiu, Z Tan, C Du Remote Sensing 13 (9), 1620, 2021 | 32 | 2021 |
| Prediction of rice yield in East China based on climate and agronomic traits data using artificial neural networks and partial least squares regression Y Guo, H Xiang, Z Li, F Ma, C Du Agronomy 11 (2), 282, 2021 | 32 | 2021 |
| Comparison of fractional vegetation cover estimations using dimidiate pixel models and look-up table inversions of the PROSAIL model from Landsat 8 OLI data Y Ding, H Zhang, Z Li, X Xin, X Zheng, K Zhao Journal of Applied Remote Sensing 10 (3), 036022-036022, 2016 | 29 | 2016 |
| Assessment of the MODIS LAI product using ground measurement data and HJ-1A/1B imagery in the meadow steppe of Hulunber, China Z Li, H Tang, X Xin, B Zhang, D Wang Remote Sensing 6 (7), 6242-6265, 2014 | 27 | 2014 |
| Evaluation and intercomparison of MODIS and GEOV1 global leaf area index products over four sites in North China Z Li, H Tang, B Zhang, G Yang, X Xin Sensors 15 (3), 6196-6216, 2015 | 21 | 2015 |
| Monitoring geologic hazards and vegetation recovery in the Wenchuan earthquake region using aerial photography Z Li, Q Jiao, L Liu, H Tang, T Liu ISPRS international journal of geo-information 3 (1), 368-390, 2014 | 19 | 2014 |
| Comparison of two inversion methods for leaf area index using HJ-1 satellite data in a temperate meadow steppe Q Wu, Y Jin, Y Bao, Q Hai, R Yan, B Chen, H Zhang, B Zhang, Z Li, X Li, ... International Journal of Remote Sensing 36 (19-20), 5192-5207, 2015 | 16 | 2015 |
| Grain yield estimation in rice breeding using phenological data and vegetation indices derived from UAV images H Ge, F Ma, Z Li, C Du Agronomy 11 (12), 2439, 2021 | 15 | 2021 |
| Mapping daily leaf area index at 30 m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data Z Li, C Huang, Z Zhu, F Gao, H Tang, X Xin, L Ding, B Shen, J Liu, B Chen, ... International journal of remote sensing 39 (23), 9025-9053, 2018 | 13 | 2018 |
| Improved accuracy of phenological detection in rice breeding by using ensemble models of machine learning based on UAV-RGB imagery H Ge, F Ma, Z Li, Z Tan, C Du Remote Sensing 13 (14), 2678, 2021 | 12 | 2021 |
| In-situ rapid monitoring of nitrate in urban water bodies using Fourier transform infrared attenuated total reflectance spectroscopy (FTIR-ATR) coupled with deconvolution algorithm K Wu, F Ma, Z Li, C Wei, F Gan, C Du Journal of Environmental Management 317, 115452, 2022 | 10 | 2022 |
| Validation of GPP remote sensing products using eddy covariance flux observations in the grassland area of China H Tang, Z Li, L Ding, B Shen, X Wang, L Xu, X Xin Pratacultural Sci 35, 2568-2583, 2018 | 10 | 2018 |
