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
Contact: .img
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

Dielectric Spectrum Feature Vector Extraction Algorithm of Ground Penetrating Radar Signal in Frequency Bands

This letter presents a new feature extraction algorithm for ground penetrating radar (GPR) data. Our new algorithm can fully utilize the dielectric spectrum of the GPR data in different frequency bands. First, according to power spectral distribution o…

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Superpixels for Spatially Reinforced Bayesian Classification of Hyperspectral Images

This letter presents a novel superpixel-based approach to hyperspectral image analysis which exploits spatial context within spectrally similar contiguous pixels for robust hyperspectral classification. The proposed approach entails two key steps-first…

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Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data

Determination of the component soil moisture content within one pixel using passive microwave remote sensing data is important for predicting soil moisture contents in ecohydrological research within the Heihe River Basin. The Heihe Watershed Allied Te…

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A New Pan-Sharpening Method With Deep Neural Networks

A deep neural network (DNN)-based new pansharpening method for the remote sensing image fusion problem is proposed in this letter. Research on representation learning suggests that the DNN can effectively model complex relationships between variables v…

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Simplified Real‐Time Imaging Flow for High‐Resolution FMCW SAR

This letter considers the feasibility of a simplified real-time imaging flow theoretically for frequency-modulated continuous-wave synthetic aperture radar (FMCW SAR). The simplified imaging flow is based on the range-Doppler algorithm, whereas the sim…

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FrFT-Based Scene Classification of Phase-Gradient InSAR Images and Effective Baseline Dependence

In the literature, scene recognition from interferometric synthetic aperture radar (InSAR) images has been mainly focused on the joint use of the backscatter intensity and the coherence between interferometric image pairs. However, the terrain height i…

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Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes

To validate satellite-based surface fluxes by ground measurements properly, several numerical simulations were carried out at a homogeneous alpine meadow site and mixed cropland site, considering various atmospheric conditions and different land cover …

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Extension of the Monte Carlo Coherent Microwave Scattering Model to Full Stage of Rice

The ear layer, which is a component of rice, is crucial to rice monitoring and yield estimation. By adding in the ear layer, we have extended the original coherent microwave scattering model, which is based on both the first-order solution of the radia…

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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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