The first of a series of global maps aimed at quantifying change in carbon stored as biomass across the world’s forests and shrublands has been released by ESA’s Climate Change Initiative at COP25 – the United Nation Climate Change Conference currently taking place in Madrid. Read the full story.
In few years from now, ESA’s BIOMASS and FLEX Earth Explorers satellite missions will open a new opportunity to enhance our knowledge of the global carbon cycle. In particular, the scientific exploitation of BIOMASS and FLEX in synergy with the Sentinel satellite series and other existing and future missions (e.g. CMOS, GEDI, NISAR, Tandem-X/L) will …
The ESA –TROPOSIF project is one of the seven themes from the Sentinel-5p+ Innovation (S5p+I) activity funded by ESA, which aims at developing novel scientific products / retrieval methods from the data acquired by the TROPOMI (TROPOspheric Monitoring Instrument) instrument aboard the Copernicus Sentinel-5 Precursor mission launched in October 2017. Although the Sentinel-5P mission was designed …
The PolSARpro v6.0 (Biomass Edition) Software proposes a great collection of well-known algorithms and tools and establishes a foundation for the exploitation of polarimetric techniques for scientific developments and stimulates research and applications developments using Pol-SAR, Pol-InSAR, Pol-TomoSAR and Pol-TimeSAR data. The PolSARpro v6.0 (Biomass Edition) Software specific interface performs complete end-to-end processing without the …
ESA’s SMOS mission is part of ESA’s Living Planet Programme and carries the first-ever, polar-orbiting, space-borne, 2-D interferometric radiometer providing observations at 1.4 GHz. From the Level 1 brightness temperatures we derive the Level-2 data products, namely surface soil moisture and vegetation optical depth (VOD) (over land) and sea surface salinity (over oceans). SMOS not …
ESA’s Earth System Data Lab is a new virtual lab to access a wide array of Earth observations across space, time and variables. It consists of two elements: the data cube and an interface to execute different analyses on the data cube. Young researchers selected in the Early Adopters Call launched in 2018 used the …
Interferometric (InSAR) short-time-series of Sentinel-1 SAR data acquired over central Europe were exploited in a new approach for the generation of large-scale thematic maps. Temporal features, extracted from the evolution of the interferometric coherence, together with backscatter, were used as input for a machine learning-based classifier. Three land cover classes were extracted: artificial surfaces, forests, …
