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Impacts of land use and land cover change on surface temperature in the north-western region of Bangladesh

机译:孟加拉国西北部地区土地利用与土地利用变化变化

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Land use and land cover change can significantly contribute to overall climate change. Again, vegetation coverage of any region can highly influence the land surface temperature distribution. Being one of the largest deltas in the world, Bangladesh is highly vulnerable to natural disasters because of its geographical location. The physiography of the north-western region of Bangladesh affects the spatio-temporal distribution of weather parameters e.g. temperature, precipitation, humidity etc. Every year people of this region suffer from extreme events like drought, severe heat wave, erratic rainfall etc. Due to inadequate weather data, it is often difficult to analyze various natural as well as human induced climatic events. In this study, the impact of land use and land cover change has been assessed with respect to the spatio-temporal variation of several satellite derived indicators including land surface temperature within the study area. Landsat 5 TM data of the years 2003, 2008, 2010 and 2011 have been analyzed for the aforementioned purposes. Each image has gone through various steps of pre-processing e.g. band compositing, radiometric corrections etc. Satellite derived parameters of greenness (NDVI), moisture (NDWI), imperviousness (NDBI) and land surface temperature (LST) were used as the indicators of environmental monitoring. It has been found that the temperature is comparatively low in vegetation area but high in non-vegetation area. Again, compared to non-built-up areas, the temperature is higher in the built-up areas. In this study, it is observed that the temperature has been increased by 6°C from 2003 to 2011, whereas, water area has decreased by 270.28 km2of this region. Finally, relationships between LST, NDVI, NDWI and NDBI have been established. It is found that the relation between LST and NDBI is positive while LST-NDVI and LST-NDWI are negatively correlated.
机译:土地使用和陆地覆盖变化可以显着促进整体气候变化。同样,任何区域的植被覆盖都可以影响陆地表面温度分布。作为世界上最大的三角洲之一,孟加拉国由于其地理位置,孟加拉国非常容易受到自然灾害的影响。孟加拉国西北部地区的地质影响天气参数的时空分布。温度,降水,湿度等。由于天气数据不足,该地区人民每年人们都遭受了极端的事件,如干旱,严重的热浪,不稳定的降雨等。由于天气数据不足,往往难以分析各种自然以及人类诱导的气候事件。在这项研究中,已经评估了土地利用和土地覆盖变化的影响,这是关于几种卫星衍生指标的时空变化,包括研究区域内的土地表面温度。已经分析了上述目的的2003年,2008年,2010年和2011年的Landsat 5 TM数据。每个图像都经历了预处理的各个步骤。频段合成,辐射校正等卫星衍生的绿色(NDVI),水分(NDWI),不渗透(NDBI)和陆地温度(LST)的参数用作环境监测指标。已经发现,在非植被面积中,温度在植被面积相对较低。同样,与非内置区域相比,内置区域的温度较高。在这项研究中,观察到2003年至2011年的温度增加了6°C,而水域下降270.28公里 2 这个地区。最后,已经建立了LST,NDVI,NDWI和NDBI之间的关系。结果发现,LST和NDBI之间的关系是正的,而LST-NDVI和LST-NDWI是负相关的。

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