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Distribution of Land Surface Temperature In Yogyakarta Urban Area

机译:日惹城市地区陆地表面的分布

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Yogyakarta urban area has grown throughout the year as the course of migration and its attraction to tourists and studentsresulting in the high demand of living space which leads to the increment of the built-up area such as hotels and othersupporting-tourism-activity accommodation, so-called urban sprawl. The increase of paved-surface causes the increase ofland surface temperature (LST), which may impact to micro-climate in the urban area with adverse consequences, forinstance, erratic rainfall and rainstorm in the urban area. Consequently, it triggers new future problems. Therefore, it isnecessary to study LST to perceive the state of temperature change in the study area as a preliminary assessment in studyingurban climate.This paper attempts to present the distribution of Land Surface Temperature (LST) in Yogyakarta urban area, extractedfrom remotely-sensed Landsat 8 image acquired from a two-year image. Before the extraction, several variables areincorporated such as Normalized Difference Vegetation Index (NDVI) to calculate emissivity, as well as atmosphericcorrection parameter transmissivity, upwelling and downwelling radiance. The reflectance values are also corrected toobtain NDVI. Land surface temperature extracted according to the procedures: conversion of the digital number of Landsatimage to radiance, correction of radiance value, conversion of the corrected radiance value to brightness temperature, thenbrightness temperature to land surface temperature. The extracted temperature map then presented into 5oC interval.Consecutively, the two-year of temperature maps are then analyzed to obtain the difference of its spatial distribution. Theexpected result is the expanding high-temperature distribution in the urban area. The result shows there is an increase inthe average land surface temperature by 1,5oC from two different images, 2014 and 2018. The majority value oftemperature is between 30 – 40°C, dominated with the built-up area. Two image shows that the respective area spread from54% to 70%.
机译:随着游客和学生的迁移过程以及游客和学生的迁移过程,日惹城市地区已经成长为全年导致生活空间的需求很高,导致诸如酒店和其他等内置区域的增量支持旅游活动住宿,所谓的城市蔓延。铺砌表面的增加导致增加土地表面温度(LST),可能影响城市地区的微观气候,具有不良后果,适用于实例,城市地区的降雨量和暴雨。因此,它触发了新的未来问题。因此它是学习LST的必要性,以认为研究区域的温度变化状态是研究中的初步评估城市气候。本文试图提取日惹城市地区土地面积温度(LST)的分布,提取从远程感测的Landsat 8从两年的图像获得的图像。在提取之前,几个变量是掺入例如归一化差异植被指数(NDVI)以计算发射率,以及大气校正参数透射率,升高和沉船光线。反射值也纠正为获得NDVI。根据程序提取陆地温度:转换数字数量的Landsat图像到辐射,校正辐射值,将校正的辐射值转换为亮度温度,然后亮度温度降落到陆地温度。然后提取的温度图呈现为5oF间隔。连续,然后分析两年的温度图以获得其空间分布的差异。这预期结果是扩大城市地区的高温分布。结果显示有增加来自两种不同图像,2014和2018的平均土地表面温度1,500。大多数价值温度在30 - 40°C之间,与内置区域为主。两个图像显示各个区域传播54%至70%。

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