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Remote Sensing Imaging Atlas of Environmental Change in China
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Remote Sensing Imaging Atlas of Environmental Change in China
中国环境变化遥感影像图集(英文版)
Language:  English
Author:  Institute of Geographic Sciences and ..
Pub. Date:  2018-11 Weight:   kg ISBN:  9787030463999
Format:  Hardcover Pages:  
Subject:  Earth Science
Series:   Size:  
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本图集借鉴联合国环境署的环境变化制图思想,以遥感影像为主体,辅以地图、图片、照片、表格、文字等,制作不同专题的环境变化图,直观、可视化表达环境变化中的定性和定量信息,以期为环境管理机构和社会公众提供易于理解的反映环境变化的科学证据和信息,建立起科学家、环境管理者与社会公众之间的纽带,增强公众对我国环境变化的科学知识和保护意识。  本图集包括八大图组,即人口与环境序图、城镇化与城市扩展,湖泊环境变化,湿地环境变化,森林采伐、保护与恢复,土地沙化与荒漠化及其治理,重大工程影响,自然灾害及其防治。

China is a large country by area. In situ monitoring of the environment cannot meet the demand of the society. For large areas, remote sensing is the only viable technology for environmental monitoring of the entire area. Although satellite observation capabilities as well as remotely sensed data acquired on board of satellites from both within and outside China are widely available, research is rare that targets the entire territory of China for environmental monitoring. In this paper, the process of environmental
change has been categorized into changes in driving forces, environmental change, materials transport and transformation, concentration and abundance change, exposure and infection change of human and ecosystems, and impacts. The potential in monitoring changes in these various aspects is assessed. The progress of environmental change monitoring over the entire territory of China is reviewed. It is suggested that at the methodological level, remote sensing should not only be applied to observation and experiments as well as understanding the change mechanism, but also be coupled with environmental simulation and forecasting
so as to support environmental policy making. At the application level, remote sensing should be used beyond its traditional application fields to include species diversity, biological invasion, public health, air and water quality monitoring. Finally, at the technical level, systematic research should be devoted to the improvement of operational and automatic use of remotely sensed data.





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