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  • Rural Digital Europe
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  • Remote Sensing Letters

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  • Authors: Hamed Amini Amirkolaee; Hossein Arefi;

    In this paper, a different approach based on convolutional neural networks (CNNs) is proposed to generate digital surface model (DSM) from a single high-resolution satellite image. In this regard, ...

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  • Authors: Hamed Amini Amirkolaee; Hossein Arefi;

    In this paper, a novel approach is proposed to identify collapsed buildings after an earthquake using pre-event satellite image as well as post-event satellite image and airborne LiDAR data. In thi...

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  • Authors: Reza Attarzadeh; Jalal Amini;

    With the advent of the new generation of microwave and optical sensors with unique characteristics, the multi-sensor fusion for the soil moisture retrieval has given rise to a considerable research...

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  • Authors: Mohammad Reza Saradjian; Yaser Jouybari-Moghaddam;

    ABSTRACTThe main purpose of this paper is to develop a method to retrieve the Land Surface Emissivity (LSE) and Land Surface Temperature (LST) simultaneously from Landsat-8 satellite images. LST an...

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  • Authors: Arsalan Ghorbanian; Ali Mohammadzadeh;

    Due to the advancement of sensor technology, hyperspectral sensors are now able to record reflectance of the earth’s surface in hundreds of bands. This makes hyperspectral images a rich source for ...

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  • Authors: Alireza Sharifi;

    ABSTRACTDue to various factors which impress wheat growth variability, we need short–term monitoring of biophysical parameters using ultra–high resolution images. These provide an ability to monito...

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  • Authors: Iman Khosravi; Abdolreza Safari; Saeid Homayouni;

    ABSTRACTPolarimetric Synthetic Aperture Radar (PolSAR) imagery can provide valuable observables at different frequencies for classification tasks. In this paper, we assessed separability rate of various polarimetric features in three frequencies of X-, C-, and L- bands. To this end, Jeffries–Matusita distance was firstly used to measure separability of each polarimetric feature in each frequency band. Random Forest classifier was then applied to map various land cover classes in study area. The classification outputs indicated that C-band results were better and more reliable than L-band results and L-band results were subsequently better than X-band results. These results were perfectly compatible with the results obtained by the separability analysis of multifrequency PolSAR features.

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  • Authors: Farjami, Hossein; Golubkin, Pavel; Chapron, Bertrand;

    ABSTRACTIn this study, nadir altimeter radar measurements are used to improve wind speed and sea state information in coastal regions, more precisely the north Indian Ocean. A methodology is suggested to combine the Ku- and C-band radar measurements, their difference, the measured significant wave height (HS) parameter and its along-track gradient. A dimensionless HS is used to recover empirical dependencies for fetch-limited wind wave development in this coastal region. As obtained, these simultaneous measurements can be efficiently combined to more precisely separate wind-related short-scale wave contributions from large-scale wave components, related to the local sea state degree of development. As demonstrated, this development helps to gain valuable insights concerning the use of altimeter measurements in coastal regions.

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    Authors: Mahdi Motagh; Hans-Ulrich Wetzel; Sigrid Roessner; Hermann Kaufmann;

    In this letter, we assess the capability of X-band SAR Interferometry (InSAR) in landslide investigation in southern Kyrgyzstan, Central Asia. SAR data acquired by the X-band German TerraSAR-X satellite in the Uzgen region, southwestern Kyrgyzstan, are analysed for landslide detection and monitoring, and the results are compared with field observations and optical remote sensing data. X-band interferograms show several features indicative of areas of active slope movement coinciding with areas of previously mapped landslides in the region. InSAR time-series analysis provides an opportunity for continuous and efficient monitoring of ground deformation associated with landslides for large areas, complementing results from field mapping and the interpretation of optical data with the goal of establishing landslide inventories.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ GFZ German Research ...arrow_drop_down
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    Remote Sensing Letters
    Article . 2013 . Peer-reviewed
    Data sources: Crossref
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      Remote Sensing Letters
      Article . 2013 . Peer-reviewed
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    Authors: Atzberger, C.; Darvishzadeh, R.; Schlerf, M.; Le Maire, G.;

    Methods are presented testing the suitability of PROSAIL radiative transfer model for analysing HyMap imaging spectroscopy data over grassland. The presented methods include forward modelling and cross-checks of 2D correlation plots. In the forward modelling, it is taken into account that the in situ data are not error free. To increase the predictive power of PROSAIL, a simple and fully automatic feature selection (FS) algorithm is presented identifying and discarding poorly modelled wavebands, yielding more reliable parameter retrievals.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCIS; Remote Sensi...arrow_drop_down
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Agritrop
    Article . 2013
    Data sources: Agritrop
    Remote Sensing Letters
    Article . 2013 . Peer-reviewed
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      Agritrop
      Article . 2013
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      Remote Sensing Letters
      Article . 2013 . Peer-reviewed
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The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
  • Authors: Hamed Amini Amirkolaee; Hossein Arefi;

    In this paper, a different approach based on convolutional neural networks (CNNs) is proposed to generate digital surface model (DSM) from a single high-resolution satellite image. In this regard, ...

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  • Authors: Hamed Amini Amirkolaee; Hossein Arefi;

    In this paper, a novel approach is proposed to identify collapsed buildings after an earthquake using pre-event satellite image as well as post-event satellite image and airborne LiDAR data. In thi...

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    17
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  • Authors: Reza Attarzadeh; Jalal Amini;

    With the advent of the new generation of microwave and optical sensors with unique characteristics, the multi-sensor fusion for the soil moisture retrieval has given rise to a considerable research...

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  • Authors: Mohammad Reza Saradjian; Yaser Jouybari-Moghaddam;

    ABSTRACTThe main purpose of this paper is to develop a method to retrieve the Land Surface Emissivity (LSE) and Land Surface Temperature (LST) simultaneously from Landsat-8 satellite images. LST an...

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    This Research product is the result of merged Research products in OpenAIRE.

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  • Authors: Arsalan Ghorbanian; Ali Mohammadzadeh;

    Due to the advancement of sensor technology, hyperspectral sensors are now able to record reflectance of the earth’s surface in hundreds of bands. This makes hyperspectral images a rich source for ...

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    22
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  • Authors: Alireza Sharifi;

    ABSTRACTDue to various factors which impress wheat growth variability, we need short–term monitoring of biophysical parameters using ultra–high resolution images. These provide an ability to monito...

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  • Authors: Iman Khosravi; Abdolreza Safari; Saeid Homayouni;

    ABSTRACTPolarimetric Synthetic Aperture Radar (PolSAR) imagery can provide valuable observables at different frequencies for classification tasks. In this paper, we assessed separability rate of various polarimetric features in three frequencies of X-, C-, and L- bands. To this end, Jeffries–Matusita distance was firstly used to measure separability of each polarimetric feature in each frequency band. Random Forest classifier was then applied to map various land cover classes in study area. The classification outputs indicated that C-band results were better and more reliable than L-band results and L-band results were subsequently better than X-band results. These results were perfectly compatible with the results obtained by the separability analysis of multifrequency PolSAR features.

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  • Authors: Farjami, Hossein; Golubkin, Pavel; Chapron, Bertrand;

    ABSTRACTIn this study, nadir altimeter radar measurements are used to improve wind speed and sea state information in coastal regions, more precisely the north Indian Ocean. A methodology is suggested to combine the Ku- and C-band radar measurements, their difference, the measured significant wave height (HS) parameter and its along-track gradient. A dimensionless HS is used to recover empirical dependencies for fetch-limited wind wave development in this coastal region. As obtained, these simultaneous measurements can be efficiently combined to more precisely separate wind-related short-scale wave contributions from large-scale wave components, related to the local sea state degree of development. As demonstrated, this development helps to gain valuable insights concerning the use of altimeter measurements in coastal regions.

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    Authors: Mahdi Motagh; Hans-Ulrich Wetzel; Sigrid Roessner; Hermann Kaufmann;

    In this letter, we assess the capability of X-band SAR Interferometry (InSAR) in landslide investigation in southern Kyrgyzstan, Central Asia. SAR data acquired by the X-band German TerraSAR-X satellite in the Uzgen region, southwestern Kyrgyzstan, are analysed for landslide detection and monitoring, and the results are compared with field observations and optical remote sensing data. X-band interferograms show several features indicative of areas of active slope movement coinciding with areas of previously mapped landslides in the region. InSAR time-series analysis provides an opportunity for continuous and efficient monitoring of ground deformation associated with landslides for large areas, complementing results from field mapping and the interpretation of optical data with the goal of establishing landslide inventories.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ GFZ German Research ...arrow_drop_down
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    Remote Sensing Letters
    Article . 2013 . Peer-reviewed
    Data sources: Crossref
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      Remote Sensing Letters
      Article . 2013 . Peer-reviewed
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    Authors: Atzberger, C.; Darvishzadeh, R.; Schlerf, M.; Le Maire, G.;

    Methods are presented testing the suitability of PROSAIL radiative transfer model for analysing HyMap imaging spectroscopy data over grassland. The presented methods include forward modelling and cross-checks of 2D correlation plots. In the forward modelling, it is taken into account that the in situ data are not error free. To increase the predictive power of PROSAIL, a simple and fully automatic feature selection (FS) algorithm is presented identifying and discarding poorly modelled wavebands, yielding more reliable parameter retrievals.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCIS; Remote Sensi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Agritrop
    Article . 2013
    Data sources: Agritrop
    Remote Sensing Letters
    Article . 2013 . Peer-reviewed
    Data sources: Crossref
    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCIS; Remote Sensi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Agritrop
      Article . 2013
      Data sources: Agritrop
      Remote Sensing Letters
      Article . 2013 . Peer-reviewed
      Data sources: Crossref
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
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