Geoscience and Remote Sensing Letters (GRSL)

The IEEE GEOSCIENCE AND REMOTE SENSING LETTERS is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts.
Papers should relate to the theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information.
The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of “extended objects” or “multimedia” such as animations to enhance the shorter papers. As soon as papers are accepted and materials are available at IEEE, they will appear online through the IEEE digital library Xplore.

Editor Information

Alejandro FreryEditor: Prof. Alejandro C. Frery
Institution: Universidade Federal de Alagoas
Country: Brazil
Bio: Alejandro Frery is currently with the Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil. His research interests are statistical computing and stochastic modeling.

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GRSL Impact Factor
GRSL has a 2013 Impact Factor of 1.809, an Eigenfactor Score of 0.01144, an Article Influence Score of 0.690, and an average turnaround time close to 30 days. Moreover, as soon as papers are accepted and materials are available at IEEE, they will appear online through the IEEE digital library Xplore.

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Articles & Announcements

An Efficient SIFT-Based Mode-Seeking Algorithm for Sub-Pixel Registration of Remotely Sensed Images

Several image registration methods, based on the scaled-invariant feature transform (SIFT) technique, have appeared recently in the remote sensing literature. All of these methods attempt to overcome problems encountered by SIFT in multimodal remotely …

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Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation

Cloud detection plays an essential role in meteorological research and has received considerable attention in recent years. However, this issue is particularly challenging due to the diverse characteristics of clouds. In this letter, a novel algorithm …

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A Novel Space–Time Coding Alamouti Waveform Scheme for MIMO-SAR Implementation

This letter presents a novel extended space-time coding waveform scheme for multiple-input-multiple-output synthetic aperture radar implementation. The extensions include the fulfilling of the two Alamouti periods in one transmit duration minimizing th…

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Point Spread Function Analysis for GNSS-Based Multistatic SAR

This letter presents an analysis of the multistatic point-spread function (MPSF) for passive synthetic aperture radar (SAR) with navigation satellites as opportunity transmitters and a stationary receiver. It is shown that a noncoherent combination of …

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Automatic Tracking of Pregenesis Tropical Disturbances Within the Deviation Angle Variance System

The deviation angle variance (DAV) method is an objective tool for estimating the intensity of tropical cyclones (TCs) using geostationary infrared (IR) brightness temperature data. At early stages in TC development, the DAV signal can be also a robust…

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Spatiotemporal Pattern Recognition and Nonlinear PCA for Global Horizontal Irradiance Forecasting

This letter presents a novel technique for the forecast of the ground horizontal irradiance (GHI) from satellite-based images. To enhance the forecast accuracy, spatial information in addition to temporal information has been considered. This produced …

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Modeling Directional Brightness Temperature Over Mixed Scenes of Continuous Crop and Road: A Case Study of the Heihe River Basin

A new geometric optical model is proposed in this letter to simulate the directional brightness temperature (DBT) distribution over mixed scenes of continuous crop and road. The DBT distributions of the crop and road zones are separately calculated, an…

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Matching-Pursuit-Based Spatial-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation

Time-frequency peak filtering (TFPF) is an effective seismic random noise attenuation method at low signal-to-noise ratio (SNR). However, the conventional TFPF is biased for seismic signals with high frequency. We propose a spatial-trace TFPF (ST-TFPF)…

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    There will be voluntary page charges of $110/page assessed for the first 3 pages and a $200/page mandatory page charge for pages 4 and 5 for GRSL publication. Papers longer than 5 printed pages will not be published in GRSL but can be turned over to TGARS.

  • Submission Information

    Prospective authors should submit their manuscripts electronically to:

    Instructions for creating new user accounts, if necessary, are available on the login screen. Please indicate that your submission is intended for GRSL by choosing “Letters” in pull down menu for manuscript type. Questions concerning the submission process should be addressed to Inquiries concerning subject material for GRSL should be sent to Prof. Alejandro Frery at:

    Authors who are unable to create electronic files should send five hard copies of the manuscript to:
    TGARS Manuscript Review Assistant,
    Geoscience and Remote Sensing Letters,
    IEEE Periodicals,
    445 Hoes Lane
    Piscataway, NJ 08855

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