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高光谱遥感技术在国家环保领域中的应用
引用本文:赵少华,张 峰,王 桥,姚云军,王中挺,游代安. 高光谱遥感技术在国家环保领域中的应用[J]. 光谱学与光谱分析, 2013, 33(12): 3343-3348. DOI: 10.3964/j.issn.1000-0593(2013)12-3343-06
作者姓名:赵少华  张 峰  王 桥  姚云军  王中挺  游代安
作者单位:1. 环境保护部卫星环境应用中心,北京 100094
2. 国家环境保护卫星遥感重点实验室,北京 100094
3. 北京师范大学全球变化与地球系统科学研究院,北京 100875
摘    要:高光谱遥感技术在环境保护领域中应用广泛,本文概述了高光谱遥感技术在我国大气环境中污染气体、温室气体监测,水环境中重点水污染源水华、水质、饮用水源地安全监测,生态环境的生物多样性、植被类型监测、土壤污染等方面的应用情况,并指出目前存在国内高光谱卫星缺乏、数据处理和信息提取能力不足等问题,以及目前迫切需要发展搭载大气痕量气体差分吸收光谱仪、温室气体监测仪、高光谱成像仪等高光谱传感器的环境卫星后续星、加强高光谱数据处理和信息提取攻关研究、加快高光谱环境地面应用系统的建设等建议。

关 键 词:污染气体  温室气体  水污染  生物多样性   
收稿时间:2013-03-07

Application of Hyper-Spectral Remote Sensing Technology in Environmental Protection
ZHAO Shao-hua,ZHANG Feng,WANG Qiao,YAO Yun-jun,WANG Zhong-ting,YOU Dai-an. Application of Hyper-Spectral Remote Sensing Technology in Environmental Protection[J]. Spectroscopy and Spectral Analysis, 2013, 33(12): 3343-3348. DOI: 10.3964/j.issn.1000-0593(2013)12-3343-06
Authors:ZHAO Shao-hua  ZHANG Feng  WANG Qiao  YAO Yun-jun  WANG Zhong-ting  YOU Dai-an
Affiliation:1. Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China2. State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China3. College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Abstract:Hyper-spectral remote sensing (RS) technology has been widely used in environmental protection. The present work introduces its recent application in the RS monitoring of pollution gas, green-house gas, algal bloom, water quality of catch water environment, safety of drinking water sources, biodiversity, vegetation classification, soil pollution, and so on. Finally, issues such as scarce hyper-spectral satellites, the limits of data processing and information extract are related. Some proposals are also presented, including developing subsequent satellites of HJ-1 satellite with differential optical absorption spectroscopy, greenhouse gas spectroscopy and hyper-spectral imager, strengthening the study of hyper-spectral data processing and information extraction, and promoting the construction of environmental application system.
Keywords:Pollution gas  Green-house gas  Water pollution  Biodiversity   
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