Land surface temperature retrieval from Landsat 8 OLI/TIRS images based on back-propagation neural network

Abstract

Land surface temperature (LST) is an important parameter related to the environmental assessment concerning the surface energy, water balance, greenhouse effect, etc. at local and global scales. With the rapid development of the remote sensing technology, various methodologies have been developed to retrieve LST from space-based remote sensing images. Due to the ill-posed problem, the LST retrieval is still a challenge. In this research, a so-called multiple band reflectance (MBR)-LST model has been proposed based on the back-propagation neural (BPN) network, which can be employed to retrieve the LSTs from Landsat 8 Operational Land Imager (OLI)/TIRS images as well as produce continuous spatial LST distributions with a spatial resolution of 30 m. Experiments conducted in two randomly selected areas in mainland China proved that the proposed MBR-LST model has yielded a much better performance than the traditional radiative transfer equation (RTE) method with respect to both the accuracy and stability for the LST retrievals. Moreover, another significant advantage of the proposed MBR-LST is the generic nature – once trained by the sample data in the whole region of mainland China, the proposed MBR-LST model can be utilized for the accurate LST-retrievals in any area of mainland China.

Regional and urban heat island studies in megacities: A systematic analysis of research methodology

“…Vegetation, which cooled the non-urban surface by evapotranspiration, was widely documented as a dominant factor in regulating the RHI and/or UHIibe patterns during the summer 15 and climatic factors have a significant impact on the LST intensity and energy budget of the cities and their surrounding areas. 11,71,90,91…”

“…Moreover, the estimation of UHI from the air temperature is highly influenced by different factors. 11,37…”

“…7,8 The UHI emblem has been observed locally and globally. [9][10][11] It is a phenomenon in which temperature tends to be higher in urban zones than surrounding non-urban areas characterizes a major anthropogenic alteration to the Earth's environments. [12][13][14] UHI has been usually credited with the change in the energy exchange between urban land surfaces and the atmosphere, which is mainly caused by increased impervious surface cover replacing evaporative vegetation surfaces, and by anthropogenic heat releases.…”

Fibre Optic FBG Sensors for Monitoring of the Temperature of the Building Envelope

“…Other implementations of FBG sensors made by the author included their application for strain analysis of power transmission line towers, strain analysis of the hoisting machine brake lever, and strain monitoring of a residential building made in the polystyrene concrete technology [ 22 , 23 ]. Interesting study on the temperature distribution of the earth’s surface was presented in the article [ 24 ].…”

Spatial-Spectral Manifold Embedding of Hyperspectral Data

“…Over the past decades, a large amount of dimensionality reduction approaches have been successfully applied in many computer vision related fields, such as low-level vision analysis (Bi et al, 2017, biometric (Hong et al, 2014, Hong et al, 2016b, large-scale data classification (Hong et al, 2016c, Huang et al, 2020a, Bi et al, 2019a, Huang et al, 2020b, Bi et al, 2019b, multimodal data analysis (Zhang et al, 2019b, Zhang et al, 2019a, data fusion (Hu et al, 2019a, Hu et al, 2019c, etc. Among them, spectral manifold embedding, as a popular topic in hyperspectral dimensionality reduction (Hong et al, 2016a), has attracted a growing attention in various hyperspectral remote sensing applications, such as hyperspectral image denoising (Cao et al, 2018b, Cao et al, 2018a, land cover and land use classification (Hang et al, 2019, Hong et al, 2019d, spectral unmixing , Yao et al, 2019, target detection and recognition (Li et al, 2018, Wu et al, 2020a, and multimodal data analysis (Liu et al, 2019.…”