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Mingquan Wu
Mingquan Wu
Chinese Academy of Sciences
Verified email at radi.ac.cn
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Cited by
Year
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
3482016
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
3042012
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
1012018
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
922016
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
792015
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
752010
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
71*2015
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
652018
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
642017
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
632019
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
592019
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
57*2010
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
552015
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
502019
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
502017
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
472016
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
472015
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
462019
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
452017
融合 MODIS 与 Landsat 数据生成高时间分辨率 Landsat 数据
邬明权, 王洁, 牛铮, 赵永清, 王长耀
红外与毫米波学报 31 (1), 80-84, 2012
41*2012
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