Intercomparison of Machine-Learning Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation

Intercomparison of Machine-Learning Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation

Satellite-derived estimates of downward surface shortwave radiation (SSR) and photosynthetically active radiation (PAR) are a part of the surface radiation budget, an essential climate variable (ECV) required by climate and vegetation models. Ground measurements are insufficient for generating long-...

Full description

Bibliographic Details
Main Authors: Meredith G. L. Brown, Sergii Skakun, Tao He, Shunlin Liang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
par
machine-learning
modis
shortwave radiation
radiative transfer
surface radiation
satellite remote sensing
radiation budget
Online Access:https://www.mdpi.com/2072-4292/12/3/372

Internet

https://www.mdpi.com/2072-4292/12/3/372

Similar Items