Miao Zhang

  • Institute of Remote Sensing and Digital Earth, Division of Digital Agriculture, Beijing, China
  • Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China (former)

According to our database1, Miao Zhang authored at least 20 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China.
Remote. Sens., 2022

Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network.
Sensors, 2021

Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing.
Remote. Sens., 2020

Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin.
Remote. Sens., 2020

Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2020

Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine.
Remote. Sens., 2019

Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images.
Remote. Sens., 2018

Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method.
CoRR, 2018

Cloud Based Cropwatchglobal Remote Sensing Monitoring Online System.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Object-Based Paddy Rice Mapping Using HJ-1A/B Data and Temporal Features Extracted from Time Series MODIS NDVI Data.
Sensors, 2017

Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products.
Sensors, 2016

Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products.
Remote. Sens., 2016

Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China.
Remote. Sens., 2016

An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India.
Remote. Sens., 2016

Global Crop Monitoring: A Satellite-Based Hierarchical Approach.
Remote. Sens., 2015

Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio.
Remote. Sens., 2014

Remote sensing-based global crop monitoring: experiences with China's CropWatch system.
Int. J. Digit. Earth, 2014

Quantifying winter wheat residue biomass with a spectral angle index derived from China Environmental Satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2014

Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method.
Remote. Sens., 2013

Evaluation of spectral angle index from Landsat TM image for crop residue cover estimation.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012