Improving evapotranspiration in a land surface model using biophysical variables derived from MSG/SEVIRI satellite

A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006

Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach

Climate change is expected to have the greatest impact on the world’s economically poor. In the Sahel, a climatically sensitive region where rain-fed agriculture is the primary livelihood, expected decreases in water supply will increase food insecurity. Studies on climate change and the intensification of the water cycle in sub-Saharan Africa are few. This is due in part to poor calibration of...

3d Spatial Distribution of Biophysical Parameters Derived from Hyperspectral and Lidar Remote Sensing. Improving the Constraints in Land Surface Modelling

A hyperspectral sensor and a full waveform LiDAR were flown over a temperate Eucalyptus forest in Australia, at the location of the Tumbarumba Ozflux site. Ground cover and leaf area index were derived from the LiDAR dataset while chlorophyll content maps were generated from the hyperspectral imagery using 3D radiative transfer models and the structural information derived from the LiDAR. These...

Gravity acceleration at the sea surface derived from satellite altimetry data using harmonic splines

Gravity acceleration data have grand pursuit for marine applications. Due to environmental effects, marine gravity observations always hold a high noise level. In this paper, we propose an approach to produce marine gravity data using satellite altimetry, high-resolution geopotential models and harmonic splines. On the one hand, harmonic spline functions have great capability for local gravity ...

Development a split window algorithm to estimate land surface temperature from Sentinel -3 satellite data

Land Surface Temperature (LST) is an important indicator of the study of energy balance models at the earthchr('39')s surface and the interactions between the Earth and the atmosphere on a regional and global scale. To date, different algorithms have been developed in the last few decades to determine the land surface temperature using various satellite images. In this study, a new split window...