| Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm H Tian, N Huang, Z Niu, Y Qin, J Pei, J Wang Remote sensing 11 (7), 820, 2019 | 217 | 2019 |
| Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in northern china H Tian, J Pei, J Huang, X Li, J Wang, B Zhou, Y Qin, L Wang Remote Sensing 12 (21), 3539, 2020 | 158 | 2020 |
| Early season mapping of winter wheat in China based on Landsat and Sentinel images J Dong, Y Fu, J Wang, H Tian, S Fu, Z Niu, W Han, Y Zheng, J Huang, ... Earth System Science Data Discussions 2020, 1-26, 2020 | 145 | 2020 |
| Mapping early, middle and late rice extent using sentinel-1A and Landsat-8 data in the poyang lake plain, China H Tian, M Wu, L Wang, Z Niu Sensors 18 (1), 185, 2018 | 102 | 2018 |
| Summer maize mapping by compositing time series sentinel-1A imagery based on crop growth cycles H Tian, Y Qin, Z Niu, L Wang, S Ge Journal of the Indian Society of Remote Sensing 49, 2863-2874, 2021 | 94 | 2021 |
| Early-season mapping of winter crops using sentinel-2 optical imagery H Tian, Y Wang, T Chen, L Zhang, Y Qin Remote Sensing 13 (19), 3822, 2021 | 76 | 2021 |
| Dynamic monitoring of the largest freshwater lake in China using a new water index derived from high spatiotemporal resolution Sentinel-1A data H Tian, W Li, M Wu, N Huang, G Li, X Li, Z Niu Remote Sensing 9 (6), 521, 2017 | 64 | 2017 |
| A novel spectral index for automatic canola mapping by using sentinel-2 imagery H Tian, T Chen, Q Li, Q Mei, S Wang, M Yang, Y Wang, Y Qin Remote Sensing 14 (5), 1113, 2022 | 45 | 2022 |
| Time series of Landsat imagery shows vegetation recovery in two fragile karst watersheds in southwest china from 1988 to 2016 J Pei, L Wang, X Wang, Z Niu, M Kelly, XP Song, N Huang, J Geng, ... Remote Sensing 11 (17), 2044, 2019 | 39 | 2019 |
| Mapping spring canola and spring wheat using Radarsat-2 and Landsat-8 images with Google Earth Engine H Tian, M Meng, M Wu, Z Niu Current Science 116 (2), 291-298, 2019 | 30 | 2019 |
| Evaluating the accuracy and spatial agreement of five global land cover datasets in the ecologically vulnerable south China Karst P Liu, J Pei, H Guo, H Tian, H Fang, L Wang Remote Sensing 14 (13), 3090, 2022 | 19 | 2022 |
| High spatiotemporal resolution mapping of surface water in the southwest Poyang Lake and its responses to climate oscillations H Tian, J Wang, J Pei, Y Qin, L Zhang, Y Wang Sensors 20 (17), 4872, 2020 | 7 | 2020 |
| Effects of climate change and ozone on vegetation phenology on the Tibetan Plateau Y Bao, H Tian, X Wang Science of The Total Environment 932, 172780, 2024 | 3 | 2024 |
| Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat H Tian, M Yang, F Wu, Y Qin, X Zhang, J Liu, W Yan Geo-spatial Information Science 27 (6), 2199-2210, 2024 | 1 | 2024 |
| Comparing the potentials of the different canola flower indices for canola mapping based on Landsat 9 images H Tian, S Wang, F Wu, Y Qin, X Zhang, L Wang, J Pei, J Liu, M Yang All Earth 36 (1), 1-13, 2024 | | 2024 |
| Spatial-temporal variations of surface water area during 1986–2018 in Qinghai Province, northwestern China based on Google Earth Engine L Zhu, H Tian, N Huang, L Wang, Z Niu Big Earth Data 8 (2), 333-349, 2024 | | 2024 |
Jie PeiInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesПотвърден имейл адрес: radi.ac.cn