Earth Observation (EO) systems and their datasets have fundamentally transformed environmental monitoring. These EO datasets help derive specific information about different components of the Earth and the environment. Sensors mounted on the EO satellites enable this by capturing data across different spatial, spectral, and temporal scales. However, these EO datasets are massive in size, heterogeneous, and complex in nature and therefore call for advanced methods of storage, processing, and data extraction. Moreover, in-situ measurements complement these EO datasets and provide added value to EO dataset based environmental monitoring.