Miao Zhang
Orcid: 0000-0002-4021-2492Affiliations:
- 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 28 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Irregular Agricultural Field Delineation Using a Dual-Branch Architecture From High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024
An Object-Level Multi-Source Transfer Learning Method Integrating Optical and SAR Features: A Case Study of Gaofen, Ziyuan, and Sentinel-1 Satellites.
Proceedings of the IGARSS 2024, 2024
2023
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
2022
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia.
Remote. Sens., 2022
An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China.
Remote. Sens., 2022
2021
Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network.
Sensors, 2021
2020
Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling.
Remote. Sens., 2020
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
2019
Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine.
Remote. Sens., 2019
2018
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
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Object-Based Paddy Rice Mapping Using HJ-1A/B Data and Temporal Features Extracted from Time Series MODIS NDVI Data.
Sensors, 2017
2016
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
2015
2014
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
2013
Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method.
Remote. Sens., 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
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