A generalized single‐channel method for retrieving land surface temperature from remote sensing data
By J. Jiménez-Muñoz, J. A. Sobrino. 2003
975 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/b4c8b3d21b2f28cd7ffb7c57f2b795ef629936e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Aliihsan Sekertekin
- Stefania Bonafoni
- Yuanzhi Zhang
- Lin Liu
- Xulin Guo
- Zhaocong Wu
- Xiaolei Yu
- Fei Wang
In Environmental Engineering
- Stefania Bonafoni
- Aliihsan Sekertekin
- Xulin Guo
- Zhaocong Wu
- Xiaolei Yu
- Yuanzhi Zhang
- Lin Liu
- José A. Sobrino
Citations in the corpus
- Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data (2009, methodology): “In this paper, we have revised and updated in the case of Landsat-5 and extended to Landsat-4 and Landsat-7 platforms the SC algorithm developed by Jimenez-Muñoz and Sobrino [9], denoted throughout the paper as SC JM&S .”
- Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong (2011, methodology): “Different LST retrieval methods have been developed according to different data sources, such as the split-window method [18], temperature/emissivity separation method [19], mono-window method [17], and the single-channel method [20].”
- Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method (2014, methodology): “Moreover, we used the function proposed by Jimenez-Munoz and Sobrino [12] to calculate the parameters used for the SC method.”
- An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data (2015, methodology): “Considering all of these possible effects from both the atmosphere and the ground, according to Qin et al. [16] and Sobrino et al. [20], the observed thermal radiance for Landsat 8 TIRS can be expressed as follows for remote sensing of LST: Bi(Ti) = τi [εi Bi(Ts) + (1 − εi) Ii↓] + Ii↑ (1) where Ts i”
- Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation (2020, methodology): “Since SCA is derived based on RTE [41], and they have the same input parameters, their similarities can also be seen in Figure 3.”