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首页> 外文会议>Asian Conference on Remote Sensing >Investigation the relationship between spatial distribution of vegetation cover and land surface temperature based on remote sensing application: a case study of Langkawi, Malaysia
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Investigation the relationship between spatial distribution of vegetation cover and land surface temperature based on remote sensing application: a case study of Langkawi, Malaysia

机译：基于遥感应用的基于遥感应用的植被覆盖与陆地表面温度的关系研究 - 以马来西亚Langkawi为例

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Tourism has a crucial role in transforming Malaysia into a high-income country. Tourism has been named as one of twelve national key economic areas at the center of Malaysia's efforts to transform into a high-income nation by 2020. The knowledge on land surface temperature is important for a wide range of applications such as urban climatology, environmental global changes, and human-environment interactions. In this paper, remote sensing application based on an image processing procedure was used to investigate the relationship between the spatial distribution of vegetation cover and land surface temperature in Langkawi Island. A model was developed to predict the spatial distribution of vegetation cover based on surface temperature and NDVI. values. The remote sensing data was collected from Landsat 8 sensor, preprocessed and analyzed. The digital numbers ( DNs) were converted into reflectance values. Then the data was corrected for atmospheric and geometric effects. After that, land surface temperature was generated for the study area using the thermal bands of the collected data. On the other hand, the NDVI raster was produced in ENVI software using the red and near infrared bands. Furthermore, a simple threshold was used and applied for the NDVI layer to extract vegetation cover in the study area. The Getis scores were estimated using the spatial autocorrelation tools in ArcGIS. Experimentally, the Getis values and NDVI values were extracted from the original images of 238 samples were randomly selected. The results show that the overall accuracy was found to be 80.28% and the kappa coefficient was 60% based on the developed logistic model for predicting the spatial distribution of vegetation cover based on land surface temperature and NDVI values.
机译：旅游在将马来西亚转化为高收入国家方面具有至关重要的作用。在2020年，马来西亚努力转变为高收入国家的努力，旅游业被评为十二个国家重点经济区之一。对土地表面温度的知识对于城市气候学，环境全球等广泛的应用是重要的变化和人类环境互动。本文采用了基于图像处理程序的遥感应用来研究兰卡威岛植被覆盖的空间分布与陆地表面温度的关系。开发了一种模型，以预测基于表面温度和NDVI的植被覆盖的空间分布。价值观。从Landsat 8传感器收集遥感数据，预处理和分析。数字数字（DNS）被转换为反射值。然后纠正数据以进行大气和几何效果。之后，使用收集数据的热带为研究区域产生陆地温度。另一方面，使用红色和近红外频带在Envi软件中生产NDVI栅格。此外，使用简单的阈值并施加用于NDVI层以提取研究区域中的植被覆盖物。使用ArcGIS中的空间自相关工具估计Getis分数。实验地，从随机选择了从238个样本的原始图像中提取了Getis值和NDVI值。结果表明，总体准确性为80.28％，基于开发的逻辑模型，Kappa系数为60％，用于预测基于陆地温度和NDVI值的植被覆盖的空间分布。

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