Digital deforestation monitoring and control system: An innovative approach to the conservation of forest resources

\nThis article presents the concept of an innovative digital system for monitoring and controlling deforestation, aimed at improving the efficiency of forest management and combating illegal logging. The system is based on the use of modern high-resolution satellite data and machine learning methods to analyze changes in forest cover. The paper describes the architecture of the proposed system, which includes modules for data collection, change analysis, classification and visualization. Special attention is paid to the potential advantages of the system, such as improving the accuracy and efficiency of detecting changes in forests. Possible problems and limitations in the implementation of the system are considered, including dependence on the quality of satellite images, requirements for computing resources and legal aspects. The proposed system has the potential to significantly improve the monitoring of forest resources, contributing to their conservation and sustainable use in the context of global climate change.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-28
DOI
https://doi.org/10.1051/bioconf/202414504013/pdf
Primary Topic
Environmental Sustainability and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital deforestation monitoring and control system: An innovative approach to the conservation of forest resources

Springer Link (Chiba Institute of Technology)
Environmental Sustainability and Technology
article

Digital deforestation monitoring and control system: An innovative approach to the conservation of forest resources

article en

Abstract

\nThis article presents the concept of an innovative digital system for monitoring and controlling deforestation, aimed at improving the efficiency of forest management and combating illegal logging. The system is based on the use of modern high-resolution satellite data and machine learning methods to analyze changes in forest cover. The paper describes the architecture of the proposed system, which includes modules for data collection, change analysis, classification and visualization. Special attention is paid to the potential advantages of the system, such as improving the accuracy and efficiency of detecting changes in forests. Possible problems and limitations in the implementation of the system are considered, including dependence on the quality of satellite images, requirements for computing resources and legal aspects. The proposed system has the potential to significantly improve the monitoring of forest resources, contributing to their conservation and sustainable use in the context of global climate change.\n

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 50%
Environmental Sustainability and Technology
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Digital deforestation monitoring and control system: An innovative approach to the conservation of forest resources · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS