Cloud Detection for Advanced Very High Resolution Radiometer (AVHRR) Satellite Sea Surface Temperature (SST) Imagery Using a Multi-layer Perceptron Neural Network PDF Download
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Author: Richard Peter de Groof
Publisher:
ISBN:
Category : Advanced very high resolution radiometers
Languages : en
Pages : 138
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Book Description
Accurate sea surface temperatures (SST) are relevant for the work of oceanographers investigating many aspects of the ocean's surface. Satellite imagery provides access to this type of data to a degree not previously attainable. Cloud contamination represents an obstacle to the utilization of the satellite-derived SSTs because it interferes with the retrieval of the temperatures below. The Artificial Neural Network is capable of recognizing patterns. Furthermore, types of neural nets can learn any continuous mapping to an arbitrary accuracy. We investigate the use of one such network, a multi-layer perceptron, for cloud detection of Advanced Very High Resolution Radiometry (AVHRR) SST imagery utilizing the multiple channels contained therein. We find that this approach is suitable for and provides a fast and powerful solution to the problem of detection of cloud-contaminated pixels in satellite imagery.
Author: Richard Peter de Groof
Publisher:
ISBN:
Category : Advanced very high resolution radiometers
Languages : en
Pages : 138
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Book Description
Accurate sea surface temperatures (SST) are relevant for the work of oceanographers investigating many aspects of the ocean's surface. Satellite imagery provides access to this type of data to a degree not previously attainable. Cloud contamination represents an obstacle to the utilization of the satellite-derived SSTs because it interferes with the retrieval of the temperatures below. The Artificial Neural Network is capable of recognizing patterns. Furthermore, types of neural nets can learn any continuous mapping to an arbitrary accuracy. We investigate the use of one such network, a multi-layer perceptron, for cloud detection of Advanced Very High Resolution Radiometry (AVHRR) SST imagery utilizing the multiple channels contained therein. We find that this approach is suitable for and provides a fast and powerful solution to the problem of detection of cloud-contaminated pixels in satellite imagery.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
An established cloud analysis routine has been modified for use in the Arctic. The separation of clouds from the snow and sea ice backgrounds is accomplished through a multispectral technique which utilizes VHRR channel 2 (visible), channel 3 (near infrared) and channel 4 (infrared) data. The primary means of cloud identification is based on a derived channel 3 reflectance image. At this wavelength, a significant contrast exists between liquid clouds and the arctic backgrounds, unlike in the standard visible and infrared images. The channel 3 reflectance is obtained by first using the channel 4 emission temperature to estimate the thermal emission component of the total channel 3 radiance. This thermal emission component is subsequently removed from the total radiance, leaving only the solar reflectance component available for analysis. Since many ice clouds do not exhibit a substantially greater reflectance is channel 3, the routine exploits differences in transmissive characteristics between channels 3 and 4 for identification. The routine was applied to six case studies which had been analyzed by three independent experts to establish 'ground truth'. Verification of the cloud analysis results, through a comparison to the subjective analyses, yielded impressive statistics. A success rate of 77.9% was obtained with an arguably small data base of 131 undisputed scenes.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 790
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Author: Daniel Holloway
Publisher:
ISBN:
Category : Cloud forecasting
Languages : en
Pages : 198
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Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721186365
Category :
Languages : en
Pages : 24
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Book Description
The objectives of this project, as described in the original proposal, were to develop an algorithm for diagnosing cloud properties over snow- and ice-covered surfaces, particularly at night, using satellite radiances from the Advanced Very High Resolution Radiometer (AVHRR) and High-resolution Infrared Radiation Sounder (HIRS) sensors. Products from this algorithm include a cloud mask and additional cloud properties such as cloud phase, amount, and height. The SIVIS software package, developed as a part of the CERES project, was originally the primary tool used to develop the algorithm, but as it is no longer supported we have had to pursue a new tool to enable the combination and analysis of collocated radiances from AVHRR and HIRS. This turned out to be a much larger endeavor than we expected, but we now have the data sets collocated (with many thanks to B. Baum for the fundamental code) and we have developed a nighttime cloud detection algorithm. Using this algorithm we have also computed realistic-looking cloud fractions from AVHRR brightness temperatures. A method to identify cloud phase has also been implemented. Atmospheric information from the TIROS Operational Vertical Sounder (TOVS) Polar Pathfinder Data Set, which includes temperature and moisture profiles as well as surface information, provides information required for determining cloud-top height. Langley Research Center
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ISBN:
Category :
Languages : en
Pages :
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Author: Shona Louise Mackie
Publisher:
ISBN:
Category :
Languages : en
Pages : 182
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Book Description
Author: Shunlin Liang
Publisher: Academic Press
ISBN: 0123859557
Category : Science
Languages : en
Pages : 821
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Book Description
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. - Comprehensive overview of various practical methods and algorithms - Detailed description of the principles and procedures of the state-of-the-art algorithms - Real-world case studies open several chapters - More than 500 full-color figures and tables - Edited by top remote sensing experts with contributions from authors across the geosciences
Author: R. L. Bankert
Publisher:
ISBN:
Category : Clouds
Languages : en
Pages : 31
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 31
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Book Description
The primary objective of this project was to utilize satellite-data from the NOAA Advanced Very High Resolution Radiometer (AVHRR) sensor, and the satellite data interpretation knowledge of experts, to develop environmental algorithms for the Navy. This objective was met by the design and implementation of software to extract information from the experts and the satellite sensor images, e.g., cloud type, five channels of spectral data, and three textural parameters. The experts classified clouds over seven regions in the Northern Hemisphere covering a one year period. Although these data will be used to develop a tactical algorithm to automatically classify clouds by type, the agreement among experts will help to form a baseline for the developed objective technique.
