Using forest fire experts’ opinions and GIS/remote sensing techniques in locating forest fire lookout towers

Amiri, T.; Shafiei, Abbas Banj; Erfanian, Mahdi; Hosseinzadeh, Omid; Heidarlou, Hadi Beygi

doi:10.1007/s12518-022-00476-6

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…They discovered that it is challenging to locate a specified destination, particularly using forest fire experts, opinions and GIS remote sensory in emergency circumstances in Cairo. Amiri et al [20] worked in order to effectively suppress and control fires, prompt fire detection and early notification to fire stations are essential. The goal of the project was to create a method using a geographical information system (GIS) to decide where to place fire lookout towers based on the recommendations of forest fire specialists.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Locating Global System for Mobile Communication (GSM) Base Stations Using Geographic Information System (GIS)

Kuboye,

Abiodun

2023

j. of geogr. res.

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The global system for mobile communication (GSM) is planned to meet the needs of the whole subscribers. The number of subscribers increased as the population increased due to the acceptance of GSM services by the subscribers. Thus, there should be a way to monitor base stations that will meet the increasing demand of subscribers in any area as a population surge will lead to more subscriptions. This will allow GSM network operators to serve their subscribers better and ease network congestion. This work presents a review of mobile evolution from the first generation to the fifth generation. A review of global positioning system (GPS) technology and its applications to geographic information systems (GIS) was done. The coordinates of these base stations were taken using a GPS device. These base station coordinates were then exported to QGIS for the design of the map. Thereafter, the output map was then integrated into the website. The discussions on the results followed and some useful suggestions given will go a long way to help the operators of GSM in Nigeria and in general. If the propositions given are adhered to, it will go a long way to help the operators reduce congestion on their network and thereby increase the satisfaction of the subscribers.

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Section: Review Of Related Literaturementioning

confidence: 99%

Locating Global System for Mobile Communication (GSM) Base Stations Using Geographic Information System (GIS)

Kuboye,

Abiodun

2023

j. of geogr. res.

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“…At present, there are many ways to detect forest fires. Observation towers are a common way to see if forest fires are happening [9,10]. With the development of satellite remote sensing technology, people begin to observe forest fires by satellite [11,12].…”

Section: Introductionmentioning

confidence: 99%

CNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM

Xu,

Li,

Zhang

et al. 2024

Fire

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In the context of large-scale fire areas and complex forest environments, the task of identifying the subtle features and aspects of fire can pose a significant challenge for the deep learning model. As a result, to enhance the model’s ability to represent features and its precision in detection, this study initially introduces ConvNeXtV2 and Conv2Former to the You Only Look Once version 7 (YOLOv7) algorithm, separately, and then compares the results with the original YOLOv7 algorithm through experiments. After comprehensive comparison, the proposed ConvNeXtV2-YOLOv7 based on ConvNeXtV2 exhibits a superior performance in detecting forest fires. Additionally, in order to further focus the network on the crucial information in the task of detecting forest fires and minimize irrelevant background interference, the efficient layer aggregation network (ELAN) structure in the backbone network is enhanced by adding four attention mechanisms: the normalization-based attention module (NAM), simple attention mechanism (SimAM), global attention mechanism (GAM), and convolutional block attention module (CBAM). The experimental results, which demonstrate the suitability of ELAN combined with the CBAM module for forest fire detection, lead to the proposal of a new method for forest fire detection called CNTCB-YOLOv7. The CNTCB-YOLOv7 algorithm outperforms the YOLOv7 algorithm, with an increase in accuracy of 2.39%, recall rate of 0.73%, and average precision (AP) of 1.14%.

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Neural fuzzy system design in forest fire detection

Rao

Duvvuru

et al. 2023

Microsyst Technol

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Using forest fire experts’ opinions and GIS/remote sensing techniques in locating forest fire lookout towers

Cited by 6 publications

References 27 publications

Locating Global System for Mobile Communication (GSM) Base Stations Using Geographic Information System (GIS)

Locating Global System for Mobile Communication (GSM) Base Stations Using Geographic Information System (GIS)

CNTCB-YOLOv7: An Effective Forest Fire Detection Model Based on ConvNeXtV2 and CBAM

Neural fuzzy system design in forest fire detection

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