The GRSS Society has developed an app that can be viewed on your cell phone that better describes the kinds of things that each of the Technical Committees works on.
The android version of this app is available here. or use this:

Direct download here.
The iphone version of this app is available from here

Below is a description of the contents of this app, organized by Technical Committee.

Earth Science Informatics Technical Committee
Chair: Peter Baumann, Co-Chairs: Peng Yue, Rahul Ramachandran
Earth Science Informatics (ESI) has the mission to advance the application of informatics to geosciences and remote sensing, to provide a venue for ESI professionals to exchange information and knowledge. The scene shows a CityGML model of the historical center of Santiago de Compostela and was provided by Tecnalia (

Frequency Allocations in Remote Sensing Technical Committee
Chair: Paolo de Matthaeis, Co-Chairs: Roger Oliva, Yan Soldo
Frequency Allocations in Remote Sensing (FARS) has the mission to provide guidance and recommendations to the remote sensing community on matters relevant to spectrum management and to defend the interests of the community in the radio-frequency regulatory world. The scene shows a world map of the RFI (Radio-Frequency Interference) contamination experienced by the SMAP (Soil Moisture Active/Passive) satellite mission. RFI signals interfere with the normal operations of the satellite. The color indicates the percentage of data that is lost due to RFI; the height is the intensity of the RFI signals.

Instrumentation and Future Technologies Technical Committee
Chair: Upendra Singh, Co-Chairs: Marwan Younis, Georgios Tzeremes
Instrumentation and Future Technologies (IFT) vision is to foster international cooperation in advancing the state-of-the-art in geoscience remote sensing instrumentation and technologies that improve knowledge for the betterment of society and the global environment. The scene shows a 3-D model of the Tandem-L Synthetic Aperture Radar (SAR) satellite with deployable reflector antenna and digital feed array. The model is based on a CAD model provided by AIRBUS/DLR and was remodeled by Andreas Ley, TUB.

Image Analysis and Data Fusion Technical Committee
Chair: Bertrand Le Saux, Co-Chairs: Ronny Hänsch, Naoto Yokoya
Image Analysis and Data Fusion (IADF) has the mission to serve as a global, multi-disciplinary, network for geospatial data fusion, with the aim of connecting people and resources. It aims at educating students and professionals, and promoting the best practices in data fusion applications. The model was generated based on Multispectral LiDAR point cloud data, intensity rasters and digital surface models (DSMs) at a 0.5-m ground sampling distance (GSD) and shows hyperspectral data at a 1-m GSD as well as very high-resolution RGB imagery at a 5-cm GSD. The data was acquired by the National Center for Airborne Laser Mapping, NCALM and was used in the GRSS IADF Data Fusion Contest of 2018 (

Geoscience Spaceborne Imaging Spectroscopy Technical Committee
Chair: Cindy Ong, Co-Chairs: Andreas Mueller, Uta Heiden
Geoscience Spaceborne Imaging Spectroscopy (GSIS) has the mission to provide a forum for technical and programmatic discussion and consultation among national space agencies, research institutions and other spaceborne IS data providers. Goals of the GSIS are to share information on current and future spaceborne imaging spectroscopy (“hyperspectral”) missions.
The scene shows an an hyperspectral image acquired by the HySpex-VNIR over Munich, Germany, specifically of the famous football stadium “Allianz Arena”. The HySpex-VNIR sensor provides 160 bands (400 nm – 100 nm). The shown data was acquired and processed by the German Aerospace Center (DLR) in Oberpfaffenhofen.

Modeling in Remote Sensing Technical Committee
Chair: Jiancheng Shi, Co-Chairs: Joel Johnson, John Kerekes
Modeling in Remote Sensing (MIRS) has the mission of the Modeling in Remote Sensing Technical Committee (MIRS TC) is to serve as a technical and professional forum for advancing the science of predicting remotely sensed observations from first principles theory. The scene shows three facades that have been reconstructed by image-based multi-view stereo and processed by the abstraction pipeline of [1]. The surface texture smoothly changes between measured colors and ambient occlusion.
[1] “Depth Map Based Facade Abstraction from Noisy Multi-View Stereo Point Clouds”, Andreas Ley and Olaf Hellwich, GCPR 2016, pp. 155-165, 2016

Standards for Earth ObservationsTechnical Committee
Chair: Siri Jodha Khalsa, Co-Chair: Kevin Romero
Standards for Earth Observations (GSEO) has the mission to bring together industry and academia to identify where standardization can improve the generation, distribution and utilization of interoperable data products from remote sensing systems. The scene shows a 3D dataset of Granitic Terrain in the parts of Hyderabad depicting hills and valleys topography, India, using IRS LISS IV and Carto DEM. It was provided by Naresh K. Mallenahalli and Kidambi Seshadri, National Remote Sensing Centre (ISRO) and is licensed under CC BY-NC-ND 4.0.

General Information

The data within the scenes was partially provided by the individual TCs. Please refer to the individual scene description for more information.

The GRSS VR App and parts of the data have been modeled by

Hardik Jain –
Andreas Ley –
Ronny Hänsch –
Computer Vision & Remote Sensing
Technische Universität Berlin