Results 81 to 90 of about 23,698,312 (402)
First Analyses of Sentinel-1 Images for Maritime Surveillance [PDF]
, 2014 Sentinel-1 is the European Synthetic Aperture Radar (SAR) satellite operational since 3 October 2014. The SAR’s characteristics should make it suitable for maritime surveillance (ship detection), and it will routinely collect a large amount of maritime ...
SANTAMARIA SERNA CARLOS +1 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThis study introduces the S1S2-Water dataset—a global reference dataset for training, validation, and testing of convolutional neural networks (CNNs) for semantic segmentation of surface water bodies in publicly available Sentinel-1 and Sentinel-2 ...
Marc Wieland +6 more
semanticscholar +1 more source
Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps
The Cryosphere, 2021 . Seasonal snow in mountain regions is an essential water resource. However, the spatio-temporal variability in mountain snow depth or snow water equivalent (SWE) from regional to global scales is not well understood due to the lack of high-resolution ...
H. Lievens +5 more
semanticscholar +1 more source
Actual evapotranspiration evaluation based on multi-sensed data [PDF]
, 2021 The importance of active and passive remote sensing data integration appears strongly on cloudy days. The lack of passive remote sensing data on cloudy days prevents the benefit of large-scale satellite data in cloudy areas, while the advantage of active
El-Shirbeny, Mohammed Ahmed +1 more
core +2 more sources
BiomimeticsThe ability to perceive biological motion is crucial for human survival, social interactions, and communication. Over the years, researchers have studied the mechanisms and neurobiological substrates that enable this ability.
Khashayar Misaghian +2 more
doaj +1 more source
European Journal of Remote Sensing, 2019 There is a pressing need for an automatic road extraction method due to the continuous development of transportation networks. Free from the influence of weather, satellite-mounted synthetic-aperture radar (SAR) opens the way for such a road detection ...
Qianqian Zhang +6 more
doaj +1 more source
Estimating ensemble likelihoods for the Sentinel-1 based Global Flood Monitoring product of the Copernicus Emergency Management Service [PDF]
arXiv, 2023 The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses the challenges and impacts that are caused by flooding. The GFM system provides global, near-real time flood extent masks for each newly acquired Sentinel-1 Interferometric Wide Swath Synthetic Aperture Radar (SAR) image, as well as flood ...
arxiv
Remote Sensing, 2020 Ship detection in synthetic aperture radar (SAR) images is becoming a research hotspot. In recent years, as the rise of artificial intelligence, deep learning has almost dominated SAR ship detection community for its higher accuracy, faster speed, less ...
Tianwen Zhang +10 more
semanticscholar +1 more source
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model [PDF]
arXiv, 2021 Earth observation offers new insight into anthropogenic changes to nature, and how these changes are effecting (and are effected by) the built environment and the real economy. With the global availability of medium-resolution (10-30m) synthetic aperture radar (SAR) Sentinel-1 and multispectral Sentinel-2 imagery, machine learning can be employed to ...
arxiv
Sentinel-1 SAR Backscatter Response to Agricultural Drought in The Netherlands
Remote Sensing, 2022 Drought is a major natural hazard that impacts agriculture, the environment, and socio-economic conditions. In 2018 and 2019, Europe experienced a severe drought due to below average precipitation and high temperatures.
Maurice Shorachi +2 more
semanticscholar +1 more source