What is GRSS?
The Geoscience and Remote Sensing Society (GRSS) is a technical Society of the Institute of Electrical and Electronics Engineers (IEEE). GRSS fosters engagement of its members for the benefit of society through science, engineering, applications, and education as related to the development of the field of geoscience and remote sensing.
GRSS & IEEE
GRSS is one of the 39 societies of IEEE, the largest academic and professional Society with about 430,000 members in 160 countries. GRSS has more than 4200 members in 94 countries. It has currently 79 chapters all over the world (16 of them are student chapters), and 11 ambassadors.
Members of GRSS come from a wide variety of scientific and engineering backgrounds. Members with engineering backgrounds often support scientific investigations with the design and development of hardware and data processing techniques, requiring them to be familiar with geosciences such as geophysics, geology, hydrology, meteorology, etc. Conversely, scientists find in GRSS a forum for the evaluation and dissemination of remote sensing related science.
This fusion of geoscience and engineering disciplines gives GRSS a unique interdisciplinary character and an exciting role in advancing remote sensing science and technology.
GRSS has members from all stages of professional careers, from students to retirees (Life members). Members have the opportunity to receive recognition for their achievements by advancing from Member to Senior Member or to be honored as a Fellow.
Fields of Interest
The fields of interest of GRSS span science and engineering, and include theory, concepts, and techniques of remote sensing of the Earth, oceans, atmosphere, and space, as well as the processing, interpretation, and dissemination of this information:
- Remote Sensing of Land and Surface Processes
- Remote Sensing of the Atmosphere and Oceans
- Remote Sensing of the Cryosphere
- Remote Sensing of Solid Earth and Geodynamic Processes
- Remote Sensing and Mitigation of Natural Disasters
- Remote Sensing Data Processing Techniques
- Electromagnetics and Radiative Transfer
- Sensors, Platforms, and Instruments for Remote Sensing
- Education, Standards and Policy