Results 121 to 130 of about 66,990 (295)
Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate cloud cover assessment is crucial in several fields, such as weather forecasting, climate science, agriculture, or energy system planning, precipitation pattern forecasting and aiding in early detection of extreme weather events. Despite the crucial data that weather stations provide about sky cloud coverage, their measurements are ...
Markus Götz +6 more
openaire +3 more sources
Enabling Under Ice Glider Operations: A Backseat Driver Approach
Journal of Field Robotics, EarlyView.ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang +12 more
wiley +1 more source
Generating Super Spatial Resolution Products from Sentinel-2 Satellite Images
ECRS 2023Access to high spatial resolution satellite images enables more accurate and detailed analysis of these images. Furthermore, it facilitates easier decision-making on a wide range of issues. Nevertheless, there are commercial satellites such as Worldview that have provided a spatial resolution of fewer than 2.0 m, but using them for large areas or multi-
Mohammad Reza Zargar, Mahdi Hasanlou
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Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data
Ecological Informatics, 2019 Remote sensing data is widely used in numerous ecological applications. The Sentinel-2 satellites (S2 A and B), recently launched by the European Spatial Agency's (ESA), provide at present the best revisit time, spatial and spectral resolution among the freely available remote sensing optical data.
Andreo, Verónica Carolina +5 more
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River Research and Applications, EarlyView.ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher +4 more
wiley +1 more source
Sentinel-2 Satellite-Derived Bathymetry with Data-Efficient Domain Adaptation
Journal of Marine Science and EngineeringSatellite-derived bathymetry (SDB) enables the efficient mapping of shallow waters such as coastal zones but typically requires extensive local ground truth data to achieve high accuracy. This study evaluates the effectiveness of transfer learning in reducing this requirement while keeping estimation accuracy at acceptable levels by adapting a deep ...
Christos G. E. Anagnostopoulos +6 more
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River Research and Applications, EarlyView.ABSTRACT Hydropower management has altered discharge regimes of large rivers worldwide, reducing sediment mobilization and early‐seral conditions essential for many riverine species. Spiny softshell turtles (Apalone spinifera) rely on alluvial habitats for nesting and may serve as sentinel species to assess the effects of regulated flow regimes and ...
Kayhan Ostovar +6 more
wiley +1 more source
Sentinel-2 Satellite Imagery based PopulationEstimation Strategies at FabSpace 2.0 LabDarmstadt
International Conference of the CLEF Association, CLEF 2017 Labs Working Notes, Dublin, Ireland, 11/09/2017-14/09/2017, 2017 Abstract.This paper elaborates the Sentinel-2 image processing ap-proaches used for the estimation of the population of an area of interestat Image CLEF Remote 2017 lab by the FabSpace 2.0 Darmstadt team.The task is introduced by Image CLEF Lab as a new pilot task in 2017(Remote) which aims at exploring Copernicus Earth Observation data(i.e. Sentinel-2
Md Bayzidul Islam +5 more
openaire +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Geophysical Monograph Series, Page 27-82., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +2 more sources