| Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system W Li, Z Niu, H Chen, D Li, M Wu, W Zhao Ecological indicators 67, 637-648, 2016 | 313 | 2016 |
| Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model M Wu, Z Niu, C Wang, C Wu, L Wang Journal of Applied Remote Sensing 6 (1), 063507-063507, 2012 | 276 | 2012 |
| 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 | 94 | 2018 |
| An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery M Wu, C Wu, W Huang, Z Niu, C Wang, W Li, P Hao Information fusion 31, 14-25, 2016 | 86 | 2016 |
| Nondestructive estimation of canopy chlorophyll content using Hyperion and Landsat/TM images C Wu, L Wang, Z Niu, S Gao, M Wu International Journal of Remote Sensing 31 (8), 2159-2167, 2010 | 74 | 2010 |
| Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China M Wu, S Muhammad, F Chen, Z Niu, C Wang Environmental Science: Processes & Impacts 17 (4), 753-762, 2015 | 70* | 2015 |
| Generating daily synthetic Landsat imagery by combining Landsat and MODIS data M Wu, W Huang, Z Niu, C Wang Sensors 15 (9), 24002-24025, 2015 | 69 | 2015 |
| Dynamic synthetic minority over-sampling technique-based rotation forest for the classification of imbalanced hyperspectral data W Feng, G Dauphin, W Huang, Y Quan, W Bao, M Wu, Q Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 59 | 2019 |
| 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 | 58 | 2017 |
| Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion M Wu, C Yang, X Song, WC Hoffmann, W Huang, Z Niu, C Wang, W Li, ... Scientific reports 8 (1), 2016, 2018 | 56 | 2018 |
| 利用多源时序遥感数据提取大范围水稻种植面积 邬明权， 王长耀， 牛铮 农业工程学报, 240-244, 2010 | 55* | 2010 |
| High resolution crop intensity mapping using harmonized Landsat-8 and Sentinel-2 data P HAO, H Tang, Z CHEN, YU Le, M Wu Journal of Integrative Agriculture 18 (12), 2883-2897, 2019 | 47 | 2019 |
| Reconstruction of daily 30 m data from HJ CCD, GF-1 WFV, Landsat, and MODIS data for crop monitoring M Wu, X Zhang, W Huang, Z Niu, C Wang, W Li, P Hao Remote Sensing 7 (12), 16293-16314, 2015 | 45 | 2015 |
| High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model M Wu, C Wu, W Huang, Z Niu, C Wang Computers and electronics in agriculture 115, 1-11, 2015 | 45 | 2015 |
| A transformed triangular vegetation index for estimating winter wheat leaf area index N Xing, W Huang, Q Xie, Y Shi, H Ye, Y Dong, M Wu, G Sun, Q Jiao Remote Sensing 12 (1), 16, 2019 | 44 | 2019 |
| Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas M Wu, W Huang, Z Niu, Y Wang, C Wang, W Li, P Hao, B Yu Computers and Electronics in Agriculture 139, 1-9, 2017 | 43 | 2017 |
| Vegetation change in response to climate factors and human activities on the Mongolian Plateau M Meng, N Huang, M Wu, J Pei, J Wang, Z Niu PeerJ 7, e7735, 2019 | 41 | 2019 |
| Fire risk prediction using remote sensed products: A case of Cambodia B Yu, F Chen, B Li, L Wang, M Wu Photogrammetric Engineering & Remote Sensing 83 (1), 19-25, 2017 | 41 | 2017 |
| Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA P Hao, L Wang, Y Zhan, C Wang, Z Niu, M Wu European Journal of Remote Sensing 49 (1), 1061-1077, 2016 | 41 | 2016 |
| Evaluation of Sentinel-2A satellite imagery for mapping cotton root rot X Song, C Yang, M Wu, C Zhao, G Yang, WC Hoffmann, W Huang Remote Sensing 9 (9), 906, 2017 | 38 | 2017 |
wenjiang huangInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesBestätigte E-Mail-Adresse bei radi.ac.cn
