Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: Assessment of different retrieval algorithms and emissivity models and toolbox …

A Sekertekin, S Bonafoni - Remote sensing, 2020 - mdpi.com
Land Surface Temperature (LST) is an important parameter for many scientific disciplines
since it affects the interaction between the land and the atmosphere. Many LST retrieval …

Satellite-derived land surface temperature spatial sharpening: A comprehensive review on current status and perspectives

MK Firozjaei, M Kiavarz… - European Journal of …, 2022 - Taylor & Francis
The purpose of this study is to comprehensively review of Satellite-derived Land Surface
Temperature Spatial Sharpening (SLSTSS) studies and provide appropriate solutions to …

Estimating land surface temperature from Landsat-8 data using the NOAA JPSS enterprise algorithm

X Meng, J Cheng, S Zhao, S Liu, Y Yao - Remote Sensing, 2019 - mdpi.com
Land surface temperature (LST) is one of the key parameters in hydrology, meteorology, and
the surface energy balance. The National Oceanic and Atmospheric Administration (NOAA) …

[HTML][HTML] Generating the 30-m land surface temperature product over continental China and USA from Landsat 5/7/8 data

J Cheng, X Meng, S Dong, S Liang - Science of Remote Sensing, 2021 - Elsevier
Generating a long-time-series, high-spatial-resolution land surface temperature (LST)
product has considerable applications in monitoring water stress, surface energy and water …

Validation of non-linear split window algorithm for land surface temperature estimation using Sentinel-3 satellite imagery: Case study; Tehran Province, Iran

A Zarei, R Shah-Hosseini, S Ranjbar… - Advances in Space …, 2021 - Elsevier
In recent years, land surface temperature (LST) has become critical in environmental studies
and earth science. Remote sensing technology enables spatiotemporal monitoring of this …

[HTML][HTML] Investigation and Validation of Split-Window Algorithms for Estimating Land Surface Temperature from Landsat 9 TIRS-2 Data

Q Su, X Meng, L Sun - Remote Sensing, 2024 - mdpi.com
Land surface temperature (LST) is important in a variety of applications, such as urban
thermal environment monitoring and water resource management. In this paper, eleven …

Multi-scale remote sensing retrieval model for land surface emissivity and its impact on land surface temperature estimation

L Wang, X Wang, D Hu, S Sha - International Journal of Remote …, 2024 - Taylor & Francis
As a fundamental parameter of the surface radiation process, land surface emissivity (LSE)
is the most direct factor affecting the land surface temperature (LST) retrieval accuracy …

An Analysis Method of Gas Absorption Spectrum Characteristics Based on Fuzzy Comprehensive Evaluation

Z Wu, M Li, K Rao, Y Yue, A Xia - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The growing demand for atmospheric environment monitoring requires a more precise
analysis of gas absorption spectral characteristics and simulation of radiation transfer within …

A semi-empirical approach for the estimation of land-surface emissivity from satellite data based on spectral index fusion using ensemble regression

Y Jouybari-Moghaddam… - International Journal of …, 2019 - Taylor & Francis
ABSTRACT Land Surface Emissivity (LSE) is a key parameter in the thermal remote
sensing, with several important applications, most notably in Land Surface Temperature …

Calculating land surface temperature using non-linear split window algorithm and sentinel-3 satellite imagery-Case study: Tehran Province

A Zarei, R Shahhoseini, R Ghanbari - Scientific-Research Quarterly of …, 2021 - sepehr.org
Extended Abstract Introduction As a key parameter describing physics of land surface
processes on local and global scales, land Surface Temperature (LST) is the result of all …