Cargando…
A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China
In the trend of global warming and urbanization, frequent extreme weather has a severe impact on the lives of citizens. Land Surface Temperature (LST) is an essential climate variable and a vital parameter for land surface processes at local and global scales. Retrieving LST from global, regional, a...
Autores principales: | Jiang, Yue, Lin, Wenpeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198215/ https://www.ncbi.nlm.nih.gov/pubmed/34070584 http://dx.doi.org/10.3390/ijerph18115659 |
Ejemplares similares
-
Comparison of Three Algorithms for the Retrieval of Land Surface Temperature from Landsat 8 Images
por: Wang, Lei, et al.
Publicado: (2019) -
A Data Fusion Modeling Framework for Retrieval of Land Surface Temperature from Landsat-8 and MODIS Data
por: Zhao, Guohui, et al.
Publicado: (2020) -
Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm
por: Rozenstein, Offer, et al.
Publicado: (2014) -
Estimation of Land Surface Temperature in an Agricultural Region of Bangladesh from Landsat 8: Intercomparison of Four Algorithms
por: Sajib, Md Qutub Uddin, et al.
Publicado: (2020) -
Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set
por: Cheval, Sorin, et al.
Publicado: (2020)