Remote sensing of leaf pigments will improve climate change models
An international team of researchers co-led by Josep Peñuelas (CSIC and CREAF) has developed a new method for monitoring changes in the photosynthetic activity of perennial conifers throughout the year. This new technique, based on the analysis of remote sensing images captured by satellites, will improve global models of atmospheric carbon capture and permit more precise predictions about climate change.