Cargando…
Global spatiotemporally continuous MODIS land surface temperature dataset
Land surface temperature (LST) plays a critical role in land surface processes. However, as one of the effective means for obtaining global LST observations, remote sensing observations are inherently affected by cloud cover, resulting in varying degrees of missing data in satellite-derived LST prod...
Autores principales: | Yu, Pei, Zhao, Tianjie, Shi, Jiancheng, Ran, Youhua, Jia, Li, Ji, Dabin, Xue, Huazhu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976064/ https://www.ncbi.nlm.nih.gov/pubmed/35365679 http://dx.doi.org/10.1038/s41597-022-01214-8 |
Ejemplares similares
-
Worldwide continuous gap-filled MODIS land surface temperature dataset
por: Shiff, Shilo, et al.
Publicado: (2021) -
Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature
por: Nielsen, Eva Bendix, et al.
Publicado: (2023) -
A global dataset of crowdsourced land cover and land use reference data
por: Fritz, Steffen, et al.
Publicado: (2017) -
A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
por: Zheng, Chaolei, et al.
Publicado: (2023) -
An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
por: Peng, Zhiqing, et al.
Publicado: (2023)