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Miao Zhang
Miao Zhang
Aerospace Information Research Institute, Chinese Academy of Sciences
Verified email at radi.ac.cn
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Year
Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
P Defourny, S Bontemps, N Bellemans, C Cara, G Dedieu, E Guzzonato, ...
Remote Sensing of Environment 221, 551-568, 2019
3042019
Remote sensing-based global crop monitoring: experiences with China's CropWatch system
B Wu, J Meng, Q Li, N Yan, X Du, M Zhang
International Journal of Digital Earth 7 (2), 113-137, 2014
1852014
Predicting wheat yield at the field scale by combining high-resolution Sentinel-2 satellite imagery and crop modelling
Y Zhao, AB Potgieter, M Zhang, B Wu, GL Hammer
Remote Sensing 12 (6), 1024, 2020
1462020
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
F Waldner, D De Abelleyra, SR Verón, M Zhang, B Wu, D Plotnikov, ...
International Journal of Remote Sensing 37 (14), 3196-3231, 2016
1272016
Global Crop Monitoring: A Satellite-Based Hierarchical Approach
B Wu, R Gommes, M Zhang, H Zeng, N Yan, W Zou, Y Zheng, N Zhang, ...
Remote Sensing 7 (4), 3907-3933, 2015
1132015
Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images
X Zhang, B Wu, G Ponce-Campos, M Zhang, S Chang, F Tian
Remote Sensing 10 (8), 1200, 2018
1112018
Remote sensing based detection of crop phenology for agricultural zones in China using a new threshold method
X You, J Meng, M Zhang, T Dong
Remote Sensing 5 (7), 3190-3211, 2013
1102013
An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India
M Singha, B Wu, M Zhang
Remote Sensing 8 (6), 479, 2016
792016
Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products
Y Zheng, B Wu, M Zhang, H Zeng
Sensors 16 (12), 2099, 2016
772016
Cloud services with big data provide a solution for monitoring and tracking sustainable development goals
B Wu, F Tian, M Zhang, H Zeng, Y Zeng
Geography and Sustainability 1 (1), 25-32, 2020
622020
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication
C Liu, Q Zhang, S Tao, J Qi, M Ding, Q Guan, B Wu, M Zhang, M Nabil, ...
Remote Sensing of Environment 251, 112095, 2020
562020
Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa
M Nabil, M Zhang, J Bofana, B Wu, A Stein, T Dong, H Zeng, J Shang
International Journal of Applied Earth Observation and Geoinformation 85, 102010, 2020
512020
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China
X Zhang, M Zhang, Y Zheng, B Wu
Remote Sensing 8 (11), 915, 2016
432016
GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery
M Zhang, B Wu, H Zeng, G He, C Liu, S Tao, Q Zhang, M Nabil, F Tian, ...
Earth System Science Data 13 (10), 4799-4817, 2021
412021
Downscaling TRMM monthly precipitation using google earth engine and google cloud computing
A Elnashar, H Zeng, B Wu, N Zhang, F Tian, M Zhang, W Zhu, N Yan, ...
Remote Sensing 12 (23), 3860, 2020
412020
Object-based paddy rice mapping using HJ-1A/B data and temporal features extracted from time series MODIS NDVI data
M Singha, B Wu, M Zhang
Sensors 17 (1), 10, 2016
402016
Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio
M Zhang, B Wu, M Yu, W Zou, Y Zheng
Remote Sensing 6 (6), 5774-5794, 2014
382014
Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100-and 300-m S1 Products
Y Zheng, M Zhang, X Zhang, H Zeng, B Wu
Remote Sensing 8 (10), 824, 2016
362016
Quantifying global agricultural water appropriation with data derived from earth observations
B Wu, F Tian, M Zhang, S Piao, H Zeng, W Zhu, J Liu, A Elnashar, Y Lu
Journal of Cleaner Production, 131891, 2022
352022
Conflation of expert and crowd reference data to validate global binary thematic maps
F Waldner, A Schucknecht, M Lesiv, J Gallego, L See, A Pérez-Hoyos, ...
Remote Sensing of Environment 221, 235-246, 2019
352019
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