Author Info
Name
Affiliation
Papers
MIAO ZHANG
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesBeijing100101China
18
Collaborators
Citations 
PageRank 
58
38
7.75
Referers 
Referees 
References 
204
267
58
Search Limit
100267
Title
Citations
PageRank
Year
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia00.342022
An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China00.342022
Identification Of Crop Type In Crowdsourced Road View Photos With Deep Convolutional Neural Network10.362021
Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa.10.372020
Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling.00.342020
Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin.00.342020
Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images.30.382018
Object-Based Paddy Rice Mapping Using HJ-1A/B Data and Temporal Features Extracted from Time Series MODIS NDVI Data.10.382017
An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India.10.352016
Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products.10.352016
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China.10.392016
Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products.00.342016
Research of improved FP-Growth algorithm in association rules mining40.512015
Global Crop Monitoring: A Satellite-Based Hierarchical Approach70.722015
Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio50.602014
Quantifying winter wheat residue biomass with a spectral angle index derived from China Environmental Satellite data.10.372014
Remote sensing based detection of crop phenology for agricultural zones in China using a new threshold method110.902013
Evaluation of spectral angle index from Landsat TM image for crop residue cover estimation10.402012