首页> 外文会议>Asian conference on remote sensing;ACRS >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:西爪哇山帕潘达延地区的土地覆盖与土地表面温度(LST)分布之间的关系分析

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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:由于地表温度(LST)在提供有关地球表面能量平衡过程的信息中的作用,因此它是检测气候变化的重要指标。在了解某个地区的气候过程中,重要的是研究土地覆盖对LST的影响。但是,在山区,由于地形对LST的强烈影响,此类研究受到了很大的限制。在这项研究中,使用Landsat 8 OLI / TIRS影像分析了印度尼西亚西爪哇省Mount Papandayan地区的土地覆盖率与LST分布之间的关系。为了估算LST,使用了单通道算法和通过基于NDV1的方法(NBEM)进行的地表发射率(LSE)校正。然后使用数字高程模型(DEM)和太阳辐照度的多线性回归模型对地形对LST的影响进行归一化。土地覆被分类是使用基于对象的图像分析(OBIA)通过多分辨率分割和阈值分类与最近邻(NN)分类相结合完成的。结果表明,改正后地形对LST的影响减小了。帕潘达扬山地区的LST范围为14.27至40.01°C,平均值为23.77°C。发现在陆地覆盖类型中,平均LST分布在火山口地区最高(29.59°C),其次是积雪。 (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)。每个土地覆盖物的平均LST与整个研究区域的平均LST之差表示该区域的每种土地覆盖物类型的加热或冷却效果。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,建筑,耕地和茶园的土地覆盖类型有助于加热该区域,而牧场,灌木和森林面积则有助于冷却。该地区。从这项研究可以得出结论,在帕潘达扬山地区,LST在土地覆盖类型中的分布在火山口中最高,其次是人工林,农田,茶园,牧场,灌木和森林。

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