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Showing 1 to 11 of 11 for “"Cloud detection"”.

  1. Satellite Cloud Detection With Shortwave Channels: Algorithms, MISR Applications, and Three-Dimensional Radiative Effects

    … fundamental step in satellite remote sensing---cloud detection, which has been known as the largest source of error in the retrievals of satellite geophysical products. This thesis consists of two parts: the operational part and the theoretical part. Specifically, the operational part is on the …

    uiuc Repository record for Satellite Cloud Detection With Shortwave Channels: Algorithms, MISR Applications, and Three-Dimensional Radiative Effects (opens in a new tab)

  2. Evaluating the capabilities of modern machine learning techniques for operational over-ocean cloud masking with satellite imagers

    Cloud detection is a fundamental first step in retrieving the geophysical properties of the Earth, determining which pixels contain clouds to generate a cloud mask. Analysis of passive imager missions contributing to the Global Energy and Water Cycle Experiment Cloud Assessments reveals slight …

    uiuc Repository record for Evaluating the capabilities of modern machine learning techniques for operational over-ocean cloud masking with satellite imagers (opens in a new tab)

  3. Limb scatter measurements of high altitude cloud distributions

    Clouds have pivotal influence on the Earth's hydrological cycle and climate system because they are intricately involved in the dynamical, chemical, and radiative processes within the upper troposphere and lower stratosphere. Cirrus clouds occur at high altitude around the tropopause level and, …

    sask Repository record for Limb scatter measurements of high altitude cloud distributions (opens in a new tab)

  4. Applying Rotation-Equivariant Deep Learning to Cloud and Road Segmentation in Satellite and Aerial Imagery

    … aerial images have many applications – images of clouds and roads are of particular relevance to this thesis. Satellite images of clouds are frequently used for climate monitoring, weather tracking, satellite instrument calibration, and on-orbit autonomy; satellite and aerial images of roads are …

    mit Repository record for Applying Rotation-Equivariant Deep Learning to Cloud and Road Segmentation in Satellite and Aerial Imagery (opens in a new tab)

  5. Improving satellite data interoperability: Large-scale data integration and agricultural applications in the US Midwest

    … introduces a novel approach to improve satellite cloud detection for vegetative landscapes; the second work presents a complete pipeline to derive reliable surface reflectance data from the PlanetScope CubeSat constellation; the third study introduces a method of real-time crop stress monitoring …

    uiuc Repository record for Improving satellite data interoperability: Large-scale data integration and agricultural applications in the US Midwest (opens in a new tab)

  6. Efficient Detection of Cloud Scenes by a Space-Orbiting Argus 1000 Micro-Spectrometer

    The description, interpretation and imagery of clouds using remote sensing datasets collected by Earth-orbiting satellites have become a great debate spanning several decades. Presently, many models for cloud detection and classification have been reported in the modern literature. However, none of …

    york Repository record for Efficient Detection of Cloud Scenes by a Space-Orbiting Argus 1000 Micro-Spectrometer (opens in a new tab)

  7. Investigating Elevated Aqua Modis Aerosol Optical Depth Retrievals Over The Mid-Latitude Southern Oceans

    … including spatially and temporally collocated cloud and aerosol products produced by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) project for investigating AM AOD in this region with respect to lidar profiling of cloud presence. Maritime Aerosol Network (MAN) and Aerosol …

    nodak Repository record for Investigating Elevated Aqua Modis Aerosol Optical Depth Retrievals Over The Mid-Latitude Southern Oceans (opens in a new tab)

  8. Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation

    … labeling concern for remote sensing projects is cloud mask dataset creation. Using optical satellite images requires detecting accurately all clouds in any image. For many applications, automatic cloud detection methods are not accurate enough. This thesis reformulates the problem away from …

    mit Repository record for Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation (opens in a new tab)

  9. A comparison and synthesis of polar-orbiting and geostationary observations of African biomass burning

    … angle, and were strongly affected by the SEVIRI cloud detection strategy and uncertainties in the background thermal characterization. , Despite instantaneous and localized differences in the SEVIRI and MODIS active fire products, the agreement between SEVIRI and MODIS derived maps of fire …

    kings Repository record for A comparison and synthesis of polar-orbiting and geostationary observations of African biomass burning (opens in a new tab)

  10. Anomaly detection for resilience in cloud computing infrastructures

    Cloud computing is a relatively recent model where scalable and elastic resources are provided as optimized, cost-effective and on-demand utility-like services to customers. As one of the major trends in the IT industry in recent years, cloud computing has gained momentum and started to …

    lancaster Repository record for Anomaly detection for resilience in cloud computing infrastructures (opens in a new tab)

  11. Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask

    … matter concentration measurement collected over cloud-free pixels. The quality of this product heavily depends on the validity of the cloud mask. In this project, we present a cloud masking algorithm for MAIA constrained to its hardware. It consists of 7 observables that are tested against …

    uiuc Repository record for Development and verification of the NASA Multi-Angle Imager for Aerosols operational cloud mask (opens in a new tab)