Flux footprint models are often used for interpretation of flux tower measurements, to
estimate position and size of surface source areas, and the relative contribution of passive …

In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …

For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …

Resolving the spatial and temporal dynamics of gross primary productivity (GPP) of
terrestrial ecosystems across different scales remains a challenge. Remote sensing is …

Forest biomass is critically important for forest dynamics in the carbon cycle. However, large-
scale AGB mapping applications from remote sensing data still carry large uncertainty. In …

Estimates of land-atmosphere exchanges of carbon, energy, water vapor, and other
greenhouse gases based on the eddy covariance (EC) technique rely on the fundamental …

The most recent efforts to provide remote sensing (RS) estimates of plant function rely on the
combination of Radiative Transfer Models (RTM) and Soil-Vegetation-Atmosphere Transfer …

This study investigates the performances of different optical indices to estimate gross
primary production (GPP) of herbaceous stratum in a Mediterranean savanna with different …

Abstract Ecological Water Diversion Projects (EWDPs) have been implemented in several
endorheic river basins in the arid region of northwest China since the beginning of the new …

Peatlands play an important role in the global carbon cycle as they contain a large soil
carbon stock. However, current climate change could potentially shift peatlands from being …