Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem

Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem

Data assimilation techniques allow researchers to optimally merge remote sensing observations in ecohydrological models, guiding them for improving land surface fluxes predictions. Presently, freely available remote sensing products, such as those of Sentinel 1 radar, Landsat 8 sensors, and Sentinel...

Full description

Bibliographic Details
Main Authors: Nicola Montaldo, Andrea Gaspa, Roberto Corona
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
soil moisture
leaf area index
radar
data assimilation
heterogeneous ecosystems
multiscale
Online Access:https://www.mdpi.com/2072-4292/14/14/3458

Internet

https://www.mdpi.com/2072-4292/14/14/3458

Similar Items