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Showing 1 to 8 of 8 for “"cloud mask"”.

  1. 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)

  2. 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)

  3. 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)

  4. Evaluating and Correcting the Effect of Sensor Spatial Resolution on Cloud Fraction Derived from Satellite Instruments

    This study examines the biases in cloud fraction (CF) derived from satellite instruments that are due to the effect of sensor spatial resolution. In total, 1405 15 m resolution ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) scenes over cumulus-dominated regions including the …

    uiuc Repository record for Evaluating and Correcting the Effect of Sensor Spatial Resolution on Cloud Fraction Derived from Satellite Instruments (opens in a new tab)

  5. 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)

  6. A Radiative Analysis of Angular Signatures and Oblique Radiance Retrievals Over the Polar Regions From the Multi-Angle Imaging Spectroradiometer

    … lead to the brighter or darker appearance of clouds relative to the surface at nadir by introducing the transition albedo. The transition albedo shows that clouds darken the surface under three conditions: (1) high surface albedos, (2) high solar zenith angles (low sun), and (3) thin clouds. …

    uiuc Repository record for A Radiative Analysis of Angular Signatures and Oblique Radiance Retrievals Over the Polar Regions From the Multi-Angle Imaging Spectroradiometer (opens in a new tab)

  7. Evaluating different remote sensing techniques for detection of Saharan dust and characterisation of dust sources

    … ultimate aim of this project, furthermore the cloud mask applied to the product routinely masks out most of the dust. The other methods all have a spatial resolution of 1km and thus are more appropriate for this purpose.<br/>ii<br/>King’s College London 2011<br/>Of these methods the Ackerman …

    kings Repository record for Evaluating different remote sensing techniques for detection of Saharan dust and characterisation of dust sources (opens in a new tab)