ILLEGAL FOREST LOGGING AND METHOD THEREOF

Abstract

The present invention relates to illegal forest logging and method thereof. The present invention comprises a network of satellite imaging modules capturing high-resolution images of forested areas to monitor and detect changes in tree cover, a plurality of Ground-based acoustic and vibration sensors installed in targeted forest locations to detect sounds and movements indicative of logging activities, a centralized data processing platform that receives, stores, and processes data from satellite, drone, and ground sensors using machine learning algorithms for change detection and pattern recognition, a communication module configured to transmit alerts to forest authorities and local law enforcement in response to detected logging activities and a user interface providing geospatial mapping and visualization of monitored forest areas, detected activities, and incident hotspots. Accompanied Drawing [FIG. 1]

Specification

Description:[001] The invention, in general, relates to the field of forest conservation. More specifically, the present invention relates to illegal forest logging and method thereof.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Illegal Forest logging is a critical global issue that not only threatens the world's forests and biodiversity but also has severe environmental, social, and economic consequences. It involves the unauthorized harvesting, transportation, and sale of timber, often facilitated by organized crime and corruption. Despite ongoing efforts by governments, NGOs, and international organizations to combat illegal logging, its pervasive nature continues to undermine sustainable forest management and con , Claims: 1. A system for monitoring, detecting, and preventing unauthorized forest logging, comprising:
A network of satellite imaging modules capturing high-resolution images of forested areas to monitor and detect changes in tree cover;
A Drone-based surveillance equipped with high-resolution cameras, infrared, and thermal sensors to provide real-time video feeds of forest areas and detect human presence or machinery associated with logging activities;
A plurality of Ground-based acoustic and vibration sensors installed in targeted forest locations to detect sounds and movements indicative of logging activities;
A centralized data processing platform that receives, stores, and processes data from satellite, drone, and ground sensors using machine learning algorithms for change detection and pattern recognition;
A communication module configured to transmit alerts to forest authorities and local law enforcement in response to detected logging activities;
A user interface pr

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