Design and development of land surface temperature calculation plugin of QGIS

Muhammad Rahmahalim, F. Ramdani, A. Rusydi
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Abstract

Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST. In this case, the plugin QGIS to calculate the surface temperature is built using the Python (PyQT for designing the UI and PyQGIS the API for QGIS) with the hope that it can simplify and speed up the process of calculating LST data
QGIS中地表温度计算插件的设计与开发
地表温度(Land Surface Temperature, LST)是土壤表面最外层的温度。关于地表温度的信息非常重要,因为地表温度是影响全球气候变化的一个因素。有几种方法可用于获取地表温度数据,其中一种方法是使用卫星图像数据处理应用程序(如QGIS中的光栅计算器)从卫星获得的数据。QGIS提供了各种插件来帮助用户。插件是用来处理遇到的各种问题的附加工具。但是,目前还没有自动计算LST算法的插件。在QGIS应用程序上执行的LST算法计算仍然使用手动方法,因此获得LST数据需要一个复杂的步骤来生成LST数据。为了方便获取LST数据的过程,需要一个插件来帮助用户自动计算LST。在本例中,使用Python (PyQT设计UI, PyQGIS为QGIS提供API)构建了计算地表温度的插件QGIS,希望它能简化和加快地表温度数据的计算过程
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