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Published in:
2021 | OriginalPaper | Chapter
Estimating Land Surface Temperature from Landsat-8 Images Based on a Cloud-Based Automated Processing Service
Authors : Phan Hien Vu, Tan-Long Le, Cuong Pham-Quoc
Published in: Context-Aware Systems and Applications, and Nature of Computation and Communication
Publisher: Springer International Publishing
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Abstract
As the biggest city in Vietnam, Ho Chi Minh City (HCMC) usually suffers from a number of environmental issues such as traffic jam, subsidence and inundation, river and air pollution, high temperature, etc. Therefore, a hazard maps system helps the city government and population understand well environmental risks. The main data sources for such system is a combination of in-situ measurements in ground and remotely sensed images from space. Popular satellite data products available and free of charge are used to environmental monitoring, consisting of Sentinel, Landsat, and Terra/Aqua MODIS. In this paper, we focus on estimating land surface temperature (LST) from Landsat-8 images based on a cloud-based automated processing service. The LST image is computed from red, near-infrared and thermal infrared bands. The service can be integrated as a part of a hazard map system when its data are collected from different sources.