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GRSS VR
2021年10月15日21点 已下架
版本记录
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应用状态
  • 全球最早版本上线日期
    2018-08-14
  • 最新版本
    1.4
  • 最新版本上线距今
    5年247天0小时
  • 近1年版本更新次数
    0

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版本记录

  • 版本1.4
    2018-08-29
    大小:115.95M
    更新日志

    This app has been updated by Apple to use the latest Apple signing certificate.
    Minor Changes and Optimisation

    截图
    应用描述

    This app illustrates the work of the seven technical committees of the Geoscience and Remote Sensing Society (http://grss-ieee.org). For more information please visit http://www.grss-ieee.org/grss-vr-app/.
    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 (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 (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 3D 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 (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 and shows hyperspectral data as well as very high-resolution RGB imagery. 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 (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 a 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 (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 an abstraction pipeline. The surface texture smoothly changes between measured colors and ambient occlusion.
    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.

  • 版本1.3
    2018-08-21
    更新日志

    Optimisations

  • 预订版本1.0
    2018-08-14