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Analysis of institutional authors

Garcia-Pedrero, AngelCorresponding AuthorGonzalo-Martin, ConsueloAuthor

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June 9, 2019
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A GEOBIA Methodology for Fragmented Agricultural Landscapes

Publicated to: Remote Sensing. 7 (1): 767-787 - 2015-01-01 7(1), DOI: 10.3390/rs70100767

Authors:

Garcia-Pedrero, A; Gonzalo-Martin, C; Fonseca-Luengo, D; Lillo-Saavedra, M
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Affiliations

Univ Concepcion, Fac Ingn Agr, Chillan, Octava Region, Chile - Author
Univ Politecn Madrid, Ctr Tecnol Biomed, Pozuelo De Alarcon 28233, Spain - Author

Abstract

Very high resolution remotely sensed images are an important tool for monitoring fragmented agricultural landscapes, which allows farmers and policy makers to make better decisions regarding management practices. An object-based methodology is proposed for automatic generation of thematic maps of the available classes in the scene, which combines edge-based and superpixel processing for small agricultural parcels. The methodology employs superpixels instead of pixels as minimal processing units, and provides a link between them and meaningful objects (obtained by the edge-based method) in order to facilitate the analysis of parcels. Performance analysis on a scene dominated by agricultural small parcels indicates that the combination of both superpixel and edge-based methods achieves a classification accuracy slightly better than when those methods are performed separately and comparable to the accuracy of traditional object-based analysis, with automatic approach.
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Keywords

ClassificationGeobiaImage analysisImage segmentationRemote sensingSuperpixels

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Remote Sensing due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position 5/28, thus managing to position itself as a Q1 (Primer Cuartil), in the category Remote Sensing.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 1.14, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-24, the following number of citations:

  • WoS: 28
  • Scopus: 33
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 46.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 46 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/40657/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 465
  • Downloads: 309
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Chile.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GARCIA PEDRERO, ANGEL MARIO) .

the author responsible for correspondence tasks has been GARCIA PEDRERO, ANGEL MARIO.

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Awards linked to the item

A. Garcia-Pedrero (grant 216146) and D. Fonseca-Luengo acknowledge the support for the realization of their doctoral thesis to the Mexican National Council of Science and Technology (CONACyT) and the National Commission for Scientific and Technological Research (CONICYT), respectively.
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