Discrimination of Aerosol Types with MODIS Data in Asia.

碩士 === 國立中央大學 === 太空科學研究所 === 99 === The main aim of study is to identify aerosol types based on the spectral radiance observed by Moderate Resolution Imaging Spectroradiometer (MODIS). Three datasets are collected for the discrimination of aerosol types, including volcanic ash, smoke plumes and min...

Full description

Bibliographic Details
Main Authors: Zong-Ting Cai, 蔡宗廷
Other Authors: Tang-Huang Lin
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/27977144279011419000
id ndltd-TW-099NCU05069088
record_format oai_dc
spelling ndltd-TW-099NCU050690882015-10-19T04:03:16Z http://ndltd.ncl.edu.tw/handle/27977144279011419000 Discrimination of Aerosol Types with MODIS Data in Asia. MODIS衛星資料在亞洲地區氣膠種類辨識之應用 Zong-Ting Cai 蔡宗廷 碩士 國立中央大學 太空科學研究所 99 The main aim of study is to identify aerosol types based on the spectral radiance observed by Moderate Resolution Imaging Spectroradiometer (MODIS). Three datasets are collected for the discrimination of aerosol types, including volcanic ash, smoke plumes and mineral dust, during the periods of Icelandic volcano eruption, Southeast Asian biomass burning and Asian dust storm events. According to the analysis of thermal radiation (brightness temperature), the BTDI (Brightness Temperature Difference Index) in split window of smoke plumes (3.408±0.141) are larger than both volcanic ashes (-2.395±0.646) and dust particles (-1.729±1.001), suggesting that the BTDI can be an optimal indicator for the discrimination of smoke from volcanic ash and dust particles. For the radiometric characteristics in visible and near infrared spectral band, smoke plumes and clean land surface have a distinct difference in reflectivity in MODIS band 2 (850nm), band 3 (469nm), dand 8 (413nm), band 9 (443nm) and band 17 (905nm). Therefor, these bands can be an optimal indicator for the discrimination between smoke plumes and land surface. Dust particles and volcanic ashes have a distinct difference in reflectivity between band 17 ( 905nm ) and band18 ( 936nm ) of MODIS and the difference between these two bands can be an optimal indicator for the discrimination between volcanic ash and dust particles. On the other hand, the BTDI observed by satellite is composed of contribution by aerosol (dust and ash) and water vapor in the environment if a pixel cell is not full filled with aerosol particles. Therefor, we can derive the fractions of BTDI contributed by aerosols and water vapor. As a result, an ensemble method for diseriminating the aerosol type has been integtated in this study. Tang-Huang Lin 林唐煌 2011 學位論文 ; thesis 136 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 太空科學研究所 === 99 === The main aim of study is to identify aerosol types based on the spectral radiance observed by Moderate Resolution Imaging Spectroradiometer (MODIS). Three datasets are collected for the discrimination of aerosol types, including volcanic ash, smoke plumes and mineral dust, during the periods of Icelandic volcano eruption, Southeast Asian biomass burning and Asian dust storm events. According to the analysis of thermal radiation (brightness temperature), the BTDI (Brightness Temperature Difference Index) in split window of smoke plumes (3.408±0.141) are larger than both volcanic ashes (-2.395±0.646) and dust particles (-1.729±1.001), suggesting that the BTDI can be an optimal indicator for the discrimination of smoke from volcanic ash and dust particles. For the radiometric characteristics in visible and near infrared spectral band, smoke plumes and clean land surface have a distinct difference in reflectivity in MODIS band 2 (850nm), band 3 (469nm), dand 8 (413nm), band 9 (443nm) and band 17 (905nm). Therefor, these bands can be an optimal indicator for the discrimination between smoke plumes and land surface. Dust particles and volcanic ashes have a distinct difference in reflectivity between band 17 ( 905nm ) and band18 ( 936nm ) of MODIS and the difference between these two bands can be an optimal indicator for the discrimination between volcanic ash and dust particles. On the other hand, the BTDI observed by satellite is composed of contribution by aerosol (dust and ash) and water vapor in the environment if a pixel cell is not full filled with aerosol particles. Therefor, we can derive the fractions of BTDI contributed by aerosols and water vapor. As a result, an ensemble method for diseriminating the aerosol type has been integtated in this study.
author2 Tang-Huang Lin
author_facet Tang-Huang Lin
Zong-Ting Cai
蔡宗廷
author Zong-Ting Cai
蔡宗廷
spellingShingle Zong-Ting Cai
蔡宗廷
Discrimination of Aerosol Types with MODIS Data in Asia.
author_sort Zong-Ting Cai
title Discrimination of Aerosol Types with MODIS Data in Asia.
title_short Discrimination of Aerosol Types with MODIS Data in Asia.
title_full Discrimination of Aerosol Types with MODIS Data in Asia.
title_fullStr Discrimination of Aerosol Types with MODIS Data in Asia.
title_full_unstemmed Discrimination of Aerosol Types with MODIS Data in Asia.
title_sort discrimination of aerosol types with modis data in asia.
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/27977144279011419000
work_keys_str_mv AT zongtingcai discriminationofaerosoltypeswithmodisdatainasia
AT càizōngtíng discriminationofaerosoltypeswithmodisdatainasia
AT zongtingcai modiswèixīngzīliàozàiyàzhōudeqūqìjiāozhǒnglèibiànshízhīyīngyòng
AT càizōngtíng modiswèixīngzīliàozàiyàzhōudeqūqìjiāozhǒnglèibiànshízhīyīngyòng
_version_ 1718093108763164672