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Temporal And Spatial Variation Of NDVI And Its Influencing Factors In Beijing

Posted on:2013-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:Q PanFull Text:PDF
GTID:2230330374972721Subject:Forest management
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In recent years, floods, tsunamis, landslides and other natural disasters occur frequently around the world, with the development of global warming, which has called attention of worldwide. The similar situation in China has affected our lives, which demands advanced technology to monitor the changes of environment. The vegetation is an important part of the ecosystem, the change of which can respond the characteristics of environmental changes and make the appropriate response to the climate change. Therefore, the analysis of vegetation change is valuable for discussing the environmental and the climate changes.Normalized difference vegetation index (NDVI) plays an irreplaceable role in the study of vegetation change as an indicator of vegetation change. With the development of remote sensing, we can acquire valid data with High-resolution within a shorter time. In this paper we analyzed the spatiotemporal variations of NDVI based on the250m MODIS data from2001to2010in Beijing. We also get the data of annual average temperature and annual average temperature by analyzing the data of temperature and precipitation that from12meteorological stations around Beijing by using interpolation to discuss the response of vegetation index to climate changes. Considering the frequent human activities in cities, we also analyzed the impact of human activity on vegetation change according to the statistical data.The Vegetation index showed a significant increasing with a small fluctuations over the past decade. The change of vegetation index in Spring and Autumn is active.And the area around the center of the city had a significant declining in vegetation index. Also temperature and precipitation changes had a certain impact on the vegetation index, but not the only factor. From the Correlation legend of the climate data and vegetation index, the correlation between the climate data and the vegetation index showed a positive correlation.on the contrary the negative relevant areas indicating that the human activities had affected. The paper has discussed the impact of land use change, agricultural production and vegetation construction, also human activities had influenced a lot.. The paper has shown that, the vegetation of Beijing is improving In the dual role of climate and human activities.
Keywords/Search Tags:Beijing, normalized difference vegetation index(NDVI), MODIS, climate factors, human activities
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