Linyan Bai
Orcid: 0000-0002-9376-3255
According to our database1,
Linyan Bai
authored at least 27 papers
between 2007 and 2024.
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Bibliography
2024
Improved indicators for the integrated assessment of coastal sustainable development based on Earth Observation Data.
Int. J. Digit. Earth, December, 2024
The Ecological Risks in Arid Zones from a Production-Living-Ecological Space Perspective: A Case Study of the Tuha Region in Xinjiang, China.
Remote. Sens., September, 2024
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024
2023
A Practical Lightweight Anonymous Authentication and Key Establishment Scheme for Resource-Asymmetric Smart Environments.
IEEE Trans. Dependable Secur. Comput., 2023
2022
Spatiotemporal Dynamics of Surface Ozone and Its Relationship with Meteorological Factors over the Beijing-Tianjin-Tangshan Region, China, from 2016 to 2019.
Sensors, 2022
Information-theoretic secure rational secret sharing in asynchronous networks for untrusted cloud environments.
J. Cloud Comput., 2022
2021
Monitoring Cropping Intensity Dynamics across the North China Plain from 1982 to 2018 Using GLASS LAI Products.
Remote. Sens., 2021
2020
Chimney Detection Based on Faster R-CNN and Spatial Analysis Methods in High Resolution Remote Sensing Images.
Sensors, 2020
2016
Spatial and Temporal Distribution of Multiple Cropping Indices in the North China Plain Using a Long Remote Sensing Data Time Series.
Sensors, 2016
2010
Workload and task management of Grid-enabled quantitative aerosol retrieval from remotely sensed data.
Future Gener. Comput. Syst., 2010
A new context-based procedure for the detection and removal of cloud shadow from moderate-and-high resolution satellite data over land.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Regional quantitative retrieval of aerosol optical depth by exploiting the synergy of VISSR and MODIS data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2009
Aerosol Optical Depth Retrieval over Land using MODIS Data and its Application in Monitoring Air Quality.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Synthetic Retrieval of Aerosol Optical Depth and Surface Reflectance using Terra and Aqua Platforms in Semi-arid Regions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the Computational Science, 2009
2008
Computer, 2008
A New Study of Detecting Biomass Burning Employing MODIS Data Applying Broadband Aerosol Optical Thickness.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Grid Enabled Simultaneous Retrieval of Aerosol and Ground Surface Reflectance from Integration of AERONET and Satellite Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Regional Quantitative Retrieval of Aerosol Optical Depth using Terra and Aqua MODIS Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
An Advanced Quantitative Retrieval Algorithm for Aerosol Optical Depth over Land from TERRA and AQUA MODIS Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Nationwide aerosol optical thickness retrieval application using grid computing platform.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
A synergetic approach for the retrieval of aerosol optical thickness from both AATSR data and MODIS BRDF data over Land.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
New Fast Detection Method of Forest Fire Monitoring and Application Based on FY-1D/MVISR Data.
Proceedings of the Computer And Computing Technologies In Agriculture, 2007