Xingwei He

Affiliations:
  • Beijing Normal University, State Key Laboratory of Remote Sensing Science, Beijing, China
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China


According to our database1, Xingwei He authored at least 23 papers between 2010 and 2016.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2016
Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for Xinjiang Region Using Indian National Satellite Observations.
Remote. Sens., 2016

Aerosol optical depth retrieval from recalibrated AVHRR data for China mainland in 1998.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Dust storm detection for Xingjiang region using Indian National Satellite (INSAT 3A) data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
High-Throughput Geocomputational Workflows in a Grid Environment.
Computer, 2015

China collection 2.1: Aerosol Optical Depth dataset for mainland China at 1km resolution.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Quality assurance plan for China collection 2.0 aerosol datasets.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Sub-workflow parallel implementation of aerosol optical depth retrieval from MODIS data case on a Grid platform.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Post calibration of channel 1 of NOAA-14 AVHRR: Implications on aerosol optical depth retrieval.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

The analysis of the haze event in the North China plain in 2013.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Comparison of two methods for aerosol optical depth retrieval over North Africa from MSG/SEVIRI data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
A Method for Retrieving Land Surface Reflectance Using MODIS Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Aerosol Optical Thickness retrieval over snow-covered surface using AATSR data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

The improved synergetic retrieval of aerosol properties algorithm.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Uncertainty from Lambertian surface assumption in satellite aerosol retrieval.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A semi-empirical optical data fusion technique for merging aerosol optical depth over China.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Aerosol retrival of North China using NOAA AVHRR data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Air qulity analysis based on PM2.5 distribution over China.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A high throughput geocomputing system for remote sensing quantitative retrieval and a case study.
Int. J. Appl. Earth Obs. Geoinformation, 2011

Prior information supported aerosol optical depth retrieval using FY2D data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

An advanced synergetic algorithm for aerosol optical depth retrieval from HJ-1A HSI and Terra MODIS data based on mutual information.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Multi-scale aerosol retrieval over land from satellite data and its application on haze monitoring.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Intercomparison and combination of satellite retrieved aerosol optical depth over land.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
A flexible abstract graphical grid workflow data structure for remote sensing quantitative retrieval.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


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