{rfName}
VI

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Citations

26

Altmetrics

Grant support

Authors would like to express their gratitude to Manuel Armada for his towering support through this research. They would also like to thank Angela Ribeiro for facilitating the use of the LWIR thermal camera during the experiments of this research. Special thanks are also due to Javier Sarria for his assistance during the experimental stage of this work. The authors acknowledge funding from the European commission in the 7th Framework Programme (CROPS Grant Agreement No. 246252) and partial funding under ROBOCITY2030-III-CM project (Robotica aplicada a la mejora de la calidad de vida de los ciudadanos. Fase III; S2013/MIT-2748), funded by Programa de Actividades I + D en la Comunidad de Madrid and cofunded by Structural Funds of the EU. Hector Montes also acknowledges support from Universidad Tecnologica de Panama.

Analysis of institutional authors

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Article

VIS-NIR, SWIR and LWIR Imagery for Estimation of Ground Bearing Capacity

Publicated to:Sensors. 15 (6): 13994-14015 - 2015-06-15 15(6), DOI: 10.3390/s150613994

Authors: Fernandez, Roemi; Montes, Hector; Salinas, Carlota

Affiliations

Technol Univ Panama, Fac Elect Engn, Panama City 0819, Panama - Author
UPM, CSIC, CAR, Madrid 28500, Spain - Author

Abstract

Ground bearing capacity has become a relevant concept for site-specific management that aims to protect soil from the compaction and the rutting produced by the indiscriminate use of agricultural and forestry machines. Nevertheless, commonly known techniques for its estimation are cumbersome and time-consuming. In order to alleviate these difficulties, this paper introduces an innovative sensory system based on Visible-Near InfraRed (VIS-NIR), Short-Wave InfraRed (SWIR) and Long-Wave InfraRed (LWIR) imagery and a sequential algorithm that combines a registration procedure, a multi-class SVM classifier, a K-means clustering and a linear regression for estimating the ground bearing capacity. To evaluate the feasibility and capabilities of the presented approach, several experimental tests were carried out in a sandy-loam terrain. The proposed solution offers notable benefits such as its non-invasiveness to the soil, its spatial coverage without the need for exhaustive manual measurements and its real time operation. Therefore, it can be very useful in decision making processes that tend to reduce ground damage during agricultural and forestry operations.

Keywords
CompactionFieldForestGround bearing capacityLwirMoisture measurementMultispectralOptical filtersPenetrating radarPenetrometerSoil compactionSoil moistureSoil-water contentSpectroscopySwirVis-nir

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Sensors 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 12/56, thus managing to position itself as a Q1 (Primer Cuartil), in the category Instruments & Instrumentation.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.17, 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: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-02, the following number of citations:

  • WoS: 9
  • Scopus: 17
  • OpenCitations: 9
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 2025-05-02:

  • 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: 26.
  • 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: 26 (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: 0.25.
  • 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.
Leadership analysis of institutional authors

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

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 (Fernandez, Roemi) and Last Author (Salinas, Carlota).