首页> 外文会议>ISPRS Technical Commission VIII Mid-Term Symposium >GEO-ENVIRONMENTAL APPRAISAL FOR STUDYING URBAN ENVIRONMENT AND ITS ASSOCIATED BIOPHYSICAL PARAMETERS USING REMOTE SENSING AND GIS TECHNIQUE
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GEO-ENVIRONMENTAL APPRAISAL FOR STUDYING URBAN ENVIRONMENT AND ITS ASSOCIATED BIOPHYSICAL PARAMETERS USING REMOTE SENSING AND GIS TECHNIQUE

机译:使用遥感和GIS技术研究城市环境及其相关生物物理参数的地理环境评估

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This study investigated the influences of urbanization on urban ecological and thermal environment as well as the relationships of all the biophysical parameters with each other utilizing multi-temporal datasets of CORONA (1967), Landsat TM (1992 and 2009), Landsat ETM+ (2002), IRS R2 LISS-3 (2012) and Landsat 8 (2014). The urban environmental issues related to land use and land cover, greenness, surface wetness and impervious surface were assessed using change detection, SAVI, MNDWI and IBI models respectively. The land surface temperature (LST) was also retrieved from thermal infrared band of each Landsat TM, ETM+ and Landsat 8. Based on these parameters, the urban expansion, urban heat island effect and the relationships of LSTs to other biophysical parameters were analyzed. Results indicate the area ratio of impervious surface in Pune sub-urban zone increased significantly, which grew from 1.41% in 1967 to 8.47% in 1992 and further to 22.45% and 44.7% in 2002 and 2014 respectively. Simultaneously, the intensity of urban heat island increased in observed years. A correlation analyses revealed that, the association of impervious surface to other two variables i.e. greenness and land surface wetness is negatively correlated (R~2 = 0.616 and 0.607 respectively). Whereas, LST possessed a strong positive correlation with impervious surfaces (R~2 = 0.658). The present study provided an integrated research approach and the outcome of the study is very useful in environmental modelling and sustainable development of urban areas and natural resources conservation.
机译:本研究调查了城市化对城市生态和热环境的影响,以及利用了Corona(1967)的多时间数据集,Landsat ETM +(2002)的多时间数据集相互互相影响了所有生物物理参数的关系,IRS R2 Liss-3(2012)和Landsat 8(2014)。使用变化检测,SAVI,MNDWI和IBI模型评估与土地使用和陆地覆盖,绿色,表面湿度和不透水表面有关的城市环境问题。还从每个Landsat TM,ETM +和Landsat的热红外带中检索到陆地温度(LST)。根据这些参数,分析了城市扩张,城市热岛效应和LST对其他生物物理参数的关系。结果表明,浦那地区的不透水表面的面积比显着增加,从1967年的1967年增加到1992年的1.41%至8.47%,同比分别为2002年和2014年的22.45%和44.7%。同时,城市热岛的强度在观察到的几年增加。相关分析显示,不透水表面与其他两个变量的关联I.e.e。绿色和陆地表面湿度是负相关的(分别为R〜2 = 0.616和0.607)。虽然,LST与不透水表面具有强烈的正相关(R〜2 = 0.658)。本研究提供了综合研究方法,研究结果在城市地区的环境建模和可持续发展和自然资源保护方面非常有用。

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