Name
Abstract | ||
|---|---|---|
In China, haze days is occurring more and more frequently. By remote sensing, haze area can be monitored quickly over large region. In this paper, from level 1B data of Moderate Resolution Imaging Spectrometer (MODIS) and meteorologic data, the haze distribution is monitored by the threshold of apparent reflectance and brightness temperature in eight bands, and haze optical depth (HOD) are monitored by deep blue algorithm. From October 2 to 14 in the year of 2011, we monitor haze occurrence from MODIS data over North China Plain. The results show: (1) the areas with dense industries, large population, and a mass of vehicles have the most haze days; (2) when the haze occurs, PM10 will increase obvious. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6350351 | IGARSS |
Keywords | Field | DocType |
haze distribution,remote sensing,moderate resolution imaging spectrometer data,modis,haze area,north china plain,aerosols,modis data,apparent reflectance,geophysical image processing,atmospheric composition,haze days,meteorologic data,haze monitoring,haze,deep blue algorithm,haze optical depth,pm10,brightness temperature,haze occurrence,level 1b data,atmospheric modeling,pm 10,temperature measurement,reflectivity | Meteorology,Moderate resolution imaging spectrometer,Population,Optical depth,Brightness temperature,Computer science,Remote sensing,Atmospheric composition,Reflectivity,Haze | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 1 | 0.43 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuanyang Xu | 1 | 1 | 0.43 |
| Zhongting Wang | 2 | 5 | 5.59 |
| Shenshen Li | 3 | 12 | 8.78 |
| Hui Chen | 4 | 3 | 1.46 |