Public benchmark datasets: training data standards, testing & evaluation metrics, as well as open source research and development.Īll manuscripts will be subject to a double-blind review process. Multi-resolution, multi-temporal, multi-sensor, multi-modal processingįusion of machine learning and physical modelsĮxplainable and interpretable machine learning in Earth Observation applicationsĪpplications for climate change, sustainable development goals, and geoscience Self-, weakly, and unsupervised approaches for learning with spatial data Reconstruction and segmentation of optical and LiDAR 3D point cloudsįeature extraction and learning from spatio-temporal dataĪnalysis of UAV / aerial and satellite images and videosĭeep learning tailored for large-scale Earth Observationĭomain adaptation, concept drift, and the detection of out-of-distribution data Hyperspectral and multispectral image processing Super-resolution in the spectral and spatial domain It also connects to other immediate societal challenges such as monitoring of forest fires and other natural hazards, urban growth, deforestation, and climate change.Ī non exhaustive list of topics of interest includes the following: The aim of EarthVision to advance the state of the art in machine learning-based analysis of remote sensing data is thus of high relevance. The sheer amount of data calls for highly automated scene interpretation workflows.Įarth Observation and in particular the analysis of spaceborne data directly connects to 34 indicators out of 40 (29 targets and 11 goals) of the Sustainable Development Goals defined by the United Nations ( ). It is motivated by numerous applications such as location-based services, online mapping services, large-scale surveillance, 3D urban modeling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modeling, food security, etc. Earth Observation covers a broad range of tasks, from detection to registration, data mining, and multi-sensor, multi-resolution, multi-temporal, and multi-modality fusion and regression, to name just a few. The general objective of the domain is to provide large-scale and consistent information about processes occurring at the surface of the Earth by exploiting data collected by airborne and spaceborne sensors. Location and local time of more than 120.Earth Observation (EO) and remote sensing are ever-growing fields of investigation where computer vision, machine learning, and signal/image processing meet.Several other beautiful maps to choose from.Seasonal maps showing changes of vegetation, snow cover and ocean ice.Weather data (temperature, humidity, wind, pressure, etc.).Clouds (internet download of current cloud data).This DeskSoft software has won many awards for its absolutely breathtaking images. They have much more detail, so you can zoom in even further! If you purchase the full version, you’ll get the possibility to download even more detailed versions of some maps with higher resolution. EarthView has won countless awards for its absolutely breathtaking images.ĮarthView displays five different beautiful maps of the earth, starting at 10 km resolution, which means that at 100% zoom level, 1 pixel on your screen equals 10 kilometers on earth. Many options allow total customization of all view parameters. Also it supports different maps that show our planet earth in different ways, like photographic or artistic. This program supports map and globe views, urban areas, city lights, atmospheric effects, clouds, local time display and much more. It produces colorful, high quality, high resolution images for every screen resolution – even beyond 2560×1600! EarthView is a dynamic desktop wallpaper and screen saver, which displays beautiful views of the earth with daylight and night shadows.
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