Journal: IEEE Geoscience and Remote Sensing Magazine

Abbreviation

IEEE geosci. remote sens. mag.

Publisher

IEEE

Journal Volumes

ISSN

2168-6831

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2013 - 201962020 - 202510
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Publications1 - 10 of 16
  • Tandem-L: A Highly Innovative Bistatic SAR Mission for Global Observation of Dynamic Processes on the Earth's Surface
    Item type: Journal Article
    Moreira, Alberto; Krieger, Gerhard; Hajnsek, Irena; et al. (2015)
    IEEE Geoscience and Remote Sensing Magazine
  • Toward a Collective Agenda on AI for Earth Science Data Analysis
    Item type: Journal Article
    Tuia, Devis; Roscher, Ribana; Wegner, Jan D.; et al. (2021)
    IEEE Geoscience and Remote Sensing Magazine
    In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have found common objectives and challenges to help advance the modeling and understanding of the Earth system. Despite such great opportunities, we have also observed a worrisome tendency to remain in disciplinary comfort zones, applying recent advances from AI on well-resolved remote sensing problems. Here, we take a position on the research directions for which we think the interface between these fields will have the most significant impact and become potential game changers. In our declared agenda for AI in Earth sciences, we aim to inspire researchers, especially the younger generations, to tackle these challenges for a real advance of remote sensing and the geosciences.
  • Report on the 2025 IEEE GRSS Data Fusion Contest: All-Weather Land Cover and Building Damage Mapping
    Item type: Journal Article
    Persello, Claudio; Verma, Ujjwal; Prasad, Saurabh; et al. (2025)
    IEEE Geoscience and Remote Sensing Magazine
    Over the past two decades, the annual Data Fusion Contest (DFC) has emerged as a platform that invites researchers worldwide to advance data fusion and image analysis methodologies. The contest focuses on the challenges of handling large-scale, multisensor, multimodal, and multitemporal data, fostering innovation in remote sensing research. The past editions have introduced novel and demanding problem settings, thereby creating benchmarks that have shaped progress in the field. The contest has been hosted annually since 2006 by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21]. This year’s contest focus was all-weather land cover and building damage mapping.
  • Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
    Item type: Review Article
    Tuia, Devis; Schindler, Konrad; Demir, Begüm; et al. (2024)
    IEEE Geoscience and Remote Sensing Magazine
    Earth observation (EO) is increasingly used for mapping and monitoring processes occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a global view, consistent in time, of the state of our forests, oceans, and growing urban areas. However, such a wealth of data has little value without appropriate processing chains able to convert the pixel values to information useful for decision makers.
  • TanDEM-X
    Item type: Journal Article
    Zink, Manfred; Bachmann, Markus; Bräutigam, Benjamin; et al. (2014)
    IEEE Geoscience and Remote Sensing Magazine
  • A Tutorial on Synthetic Aperture Radar
    Item type: Journal Article
    Moreira, Alberto; Prats-Iraola, Pau; Younis, Marwan; et al. (2013)
    IEEE Geoscience and Remote Sensing Magazine
  • Deep Learning in Remote Sensing
    Item type: Review Article
    Zhu, Xiao Xiang; Tuia, Devis; Mou, Lichao; et al. (2017)
    IEEE Geoscience and Remote Sensing Magazine
  • IGARSS 2014 Survey Results
    Item type: Other Conference Item
    Hajnsek, Irena (2015)
    IEEE Geoscience and Remote Sensing Magazine
  • IGARSS 2019 in Yokohama, Japan: Events and New Directions
    Item type: Other Journal Item
    Hirose, Akira; Arii, Motofumi; Hajnsek, Irena; et al. (2019)
    IEEE Geoscience and Remote Sensing Magazine
  • TanDEM-X: The 4D Mission Phase for Earth Surface Dynamics
    Item type: Journal Article
    Hajnsek, Irena; Busche, Thomas; Abdullahi, Sahra; et al. (2025)
    IEEE Geoscience and Remote Sensing Magazine
    The main goal of the TerraSAR-X Add-On for Digital Elevation Measurements (TanDEM-X) mission is the generation of a global digital elevation model (DEM) of unprecedented accuracy and coverage. The global TanDEM-X DEM product became available in 2016, surpassed all expectations, and became a reference for a wide range of Earth science, commercial, and geospatial applications. In addition, new information products, such as DEM change maps (DCMs), have been developed and are available to the geoscience and remote sensing community. Beyond the operational products, new science applications have been demonstrated and are summarized in this article, along with experimental data acquisitions. This article also aims to provide an overview of science activities with TanDEM-X data and science data acquisitions planned for the coming years.
Publications1 - 10 of 16