首页> 外文期刊>Arabian Journal of Business and Management Review >APPLICATION OF THERMAL REMOTE SENSING TO STUDY OF LAND SURFACE TEMPERATURE AS INDICATOR LAND COVER CHANGE IN WETLAND AND VEGETATION
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APPLICATION OF THERMAL REMOTE SENSING TO STUDY OF LAND SURFACE TEMPERATURE AS INDICATOR LAND COVER CHANGE IN WETLAND AND VEGETATION

机译:热遥感在湿地和植被中的指标陆地覆盖变化等陆地温度研究

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Wetlands are a vital component of land cover in reducing impacts caused by urban heat effects and climate change. Technology remote sensing provides historical data that can study the impact of development on the environmental and local climate. The studies of wetland in reducing Land surface temperature (LST) in tropical climate still lacking. In the first step, pre-processing, namely geometric correction, atmosphere correction, and radiometric correction, need to be performed before to retrieval of LST from thermal band Landsat 5 and 8. In the third step Iso Cluster, unsupervised choose to produce with the land cover map for 1988 and 2019. Geographical Information System (GIS) technology was utilized to determine land cover change and LST change between the years 1988 and 2019. With GIS technology can study the impact of wetland deforestation on local temperatures at a local scale. Next to that, correlations between LST and the wetland were analyzed. The result shows the different land cover between the years 1988 and 2019. The area of land cover wetland and vegetation decrease and area of urban increase. The land cover changes the influence of LST significantly in the study area. For example, the wetland has a noticeable influence on LST. The LST increases with decreasing in areas wetland. Every 5-kilometer square (km2) wetland lost an increase in 1-degree Celsius of LST. The size area of wetland influence on LST was significant.
机译:湿地是降低城市热效应和气候变化造成的影响的陆地覆盖的重要组成部分。技术遥感提供了能够研究发展对环境和当地气候影响的历史数据。湿地在热带气候降低陆地温度(LST)中的研究仍然缺乏。在第一步中,预处理,即几何校正,大气校正和辐射尺寸,需要在从热带Landsat 5和8中检索LST之前进行。在第三步ISO集群中,无人驾驶选择产生土地覆盖图1988年和2019年。地理信息系统(GIS)技术用于确定1988年和2019年之间的土地覆盖变化和LST变化。随着GIS技术可以研究湿地砍伐森林砍伐在当地温度下的影响。旁边,分析了LST与湿地之间的相关性。结果表明,1988年和2019年之间的不同土地覆盖率。土地覆盖湿地和植被下降和城市增长面积。土地覆盖在研究区中显着改变了LST的影响。例如,湿地对LST具有显着的影响。在湿地区域下降,LST增加。每5公里的广场(KM2)湿地损失了LST的1度摄氏度增加。湿地对LST的影响面积很大。

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