Cargando…
Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data
Reliable estimates of terrestrial latent heat flux (LE) at high spatial and temporal resolutions are of vital importance for energy balance and water resource management. However, currently available LE products derived from satellite data generally have high revisit frequency or fine spatial resolu...
Autores principales: | Bei, Xiangyi, Yao, Yunjun, Zhang, Lilin, Lin, Yi, Liu, Shaomin, Jia, Kun, Zhang, Xiaotong, Shang, Ke, Yang, Junming, Chen, Xiaowei, Guo, Xiaozheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284810/ https://www.ncbi.nlm.nih.gov/pubmed/32429110 http://dx.doi.org/10.3390/s20102811 |
Ejemplares similares
-
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products
por: Chen, Xiaowei, et al.
Publicado: (2020) -
Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring
por: Wu, Mingquan, et al.
Publicado: (2015) -
An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations
por: Feng, Fei, et al.
Publicado: (2016) -
A High-Resolution SAR Focusing Experiment Based on GF-3 Staring Data
por: Shang, Mingyang, et al.
Publicado: (2018) -
Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data
por: Wu, Mingquan, et al.
Publicado: (2015)