首页> 外文会议>Asian conference on remote sensingACRS >ANALYZING THE RELATIONSHIP BETWEEN LAND COVER AND LAND SURFACE TEMPERATURE (LST) DISTRIBUTION IN THE MOUNT PAPANDAYAN AREA, WEST JAVA
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ANALYZING THE RELATIONSHIP BETWEEN LAND COVER AND LAND SURFACE TEMPERATURE (LST) DISTRIBUTION IN THE MOUNT PAPANDAYAN AREA, WEST JAVA

机译:西爪哇省瓜丹山区陆地覆盖与土地表面温度(LST)分布的关系分析

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Land surface temperature (LST) is an essential indicator for detecting climate change due to its role in providing information regarding the energy balance process on the earth's surface. In understanding the climate process of an area, it is important to study the influence of land cover on LST. However, over mountainous areas, such studies are limited mostly because of the strong effect of topography on LST. In this study, the relationship between land cover and LST distribution in the Mount Papandayan area, West Java, Indonesia was analyzed using Landsat 8 OLI/TIRS imagery. To estimate LST, single-channel algorithm and land surface emissivity (LSE) correction through NDV1-based method (NBEM) were used. The effect of topography on LST was then normalized using a multi-linear regression model from digital elevation model (DEM) and solar irradiance. Land cover classification was done using object-based image analysis (OBI A) through multi-resolution segmentation and threshold classification combined with nearest neighbor (NN) classification. The results reveal that the effect of topography on LST was reduced after correction. LST in the Mount Papandayan area ranged from 14.27 to 40.01°C with a mean value of 23.77°C The distribution of mean LST across land cover types was found to be the highest in crater area (29.59°C), followed by built-up (26.91°C), cropland (25.64°C), tea plantation (24.16°C), pasture (23.56°C), shrub (22.40°C), and forest area (20.63°C). The difference between the mean LST of each land cover and the mean LST of the whole study area indicates the heating or the cooling effect of each land cover type on the area. By using the mean LST of the study area as the reference LST, it can be inferred that crater, built-up, cropland, and tea plantation land cover types contribute to heating the area, whereas pasture, shrub, and forest area contribute to cooling the area. From this study, it can be concluded that in the Mount Papandayan area, the distribution of LST across land cover types was the highest in crater, followed by built-up, cropland, tea plantation, pasture, shrub, and forest.
机译:陆地表面温度(LST)是一种基本指标,用于检测气候变化,因为它在提供有关地球表面的能量平衡过程中的信息方面的作用。在了解一个地区的气候过程中,研究陆地覆盖对LST的影响非常重要。然而,在山区,这种研究主要是有限的,主要是因为地形在LST上的强烈效果。在这项研究中,使用Landsat 8 Oli / TIRS图像分析了印度尼西亚西爪哇山脉山区陆地覆盖与LST分布的关系。使用基于NDV1的方法(NBEM)来估计LST,单通道算法和陆地表面发射率(LSE)校正。然后使用从数字高级模型(DEM)和太阳辐照度的多线性回归模型标准化地形对LST的影响。通过基于对象的图像分析(OBI A)通过多分辨率分割和阈值分类来完成陆地覆盖分类,并与最近的邻居(nn)分类组合。结果表明,校正后,地形对LST的影响降低。巴布尼亚地区的LST在14.27至40.01°C的范围内,平均值为23.77°C,发现陆地覆盖类型的平均LST的分布是火山口区域(29.59°C)中最高的,然后建成(26.91°C),农田(25.64°C),茶园(24.16°C),牧场(23.56°C),灌木(22.40°C)和森林面积(20.63°C)。每个陆地覆盖的平均LST与整个研究区域的平均LST之间的差异表示每个陆地覆盖类型对该区域的加热或冷却效果。通过使用研究区域的平均LST作为参考LST,可以推断出火山口,内置,农田和茶园覆盖类型有助于加热该地区,而牧场,灌木和森林面积有助于冷却该地区。从这项研究开始,可以得出结论,在巴布尼亚山区,土地覆盖类型的LST分布是火山口中最高的,其次是建成,农田,茶园,牧场,灌木和森林。

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