Evidence map›Paper›PMID 36146108›Full record

ArticleSensors (Basel, Switzerland)2022

Thermal Water Prospection with UAV, Low-Cost Sensors and GIS. Application to the Case of La Hermida.

Javier Sedano-Cibrián, Rubén Pérez-Álvarez, Julio Manuel de Luis-Ruiz, Raúl Pereda-García, Benito Ramiro Salas-Menocal

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Javier Sedano-CibriánGrupo de Investigación de Ingeniería Cartográfica y Explotación de Minas, Escuela Politécnica de Ingeniería de Minas y Energía, Universidad de Cantabria, Boulevard Ronda Rufino Peón, 254, Tanos, 39300 Torrelavega, Spain.ORCID 0000-0003-0371-5741
Rubén Pérez-ÁlvarezGrupo de Investigación de Ingeniería Cartográfica y Explotación de Minas, Escuela Politécnica de Ingeniería de Minas y Energía, Universidad de Cantabria, Boulevard Ronda Rufino Peón, 254, Tanos, 39300 Torrelavega, Spain.ORCID 0000-0003-0529-0652
Julio Manuel de Luis-RuizGrupo de Investigación de Ingeniería Cartográfica y Explotación de Minas, Escuela Politécnica de Ingeniería de Minas y Energía, Universidad de Cantabria, Boulevard Ronda Rufino Peón, 254, Tanos, 39300 Torrelavega, Spain.ORCID 0000-0001-6633-3690
Raúl Pereda-GarcíaGrupo de Investigación de Ingeniería Cartográfica y Explotación de Minas, Escuela Politécnica de Ingeniería de Minas y Energía, Universidad de Cantabria, Boulevard Ronda Rufino Peón, 254, Tanos, 39300 Torrelavega, Spain.
Benito Ramiro Salas-MenocalGrupo de Investigación de Ingeniería Cartográfica y Explotación de Minas, Escuela Politécnica de Ingeniería de Minas y Energía, Universidad de Cantabria, Boulevard Ronda Rufino Peón, 254, Tanos, 39300 Torrelavega, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The geothermal resource is one of the great sources of energy on the planet. The conventional prospecting of this type of energy is a slow process that requires a great amount of time and significant investments. Nowadays, geophysical techniques have experienced an important evolution due to the irruption of UAVs, which combined with infrared sensors can provide great contributions in this field. The novelty of this technology involves the lack of tested methodologies for their implementation in this type of activities. The research developed is focused on the proposal of a methodology for the exploration of hydrothermal resources in an easy, economic, and rapid way. The combination of photogrammetry techniques with visual and thermal images taken with UAVs allows the generation of temperature maps or thermal orthomosaics, which analyzed with GIS tools permit the quasi-automatic identification of zones of potential geothermal interest along rivers or lakes. The proposed methodology has been applied to a case study in La Hermida (Cantabria, Spain), where it has allowed the identification of an effluent with temperatures close to 40 °C, according to the verification measurements performed on the geothermal interest area. These results allow validation of the potential of the method, which is strongly influenced by the particular characteristics of the study area.

Indexed as

dronegeothermalhydrologyinfraredphotogrammetryreclassificationthermal mapping

Identifiers

PMID36146108
PMCPMC9503117

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.