Scholarlink

Both environmental change supervision and sustainable land management require effective enforcement of deforestation detection. The system adopts a segmentation method based on clustering together with a hybrid analysis model to process satellite data for accurate deforestation and afforestation analysis. A combination of deep learning with machine learning enables the system to detect forest losses by applying superior classification features for analysis. Such a monitoring method provides budget-friendly solutions and adaptable capabilities for massive deforestation survey work while maintaining exceptional assessment results. Decision-makers together with environmental organizations now have accessible data points from the system that supports sustainable forest management decisions.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Tracking Deforestation Through Satellite Imagery a Fusion of Hybrid Classification and Clustering Approach

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Vaddi Rishika,
  • V. A. Narayana,
  • M. Shreya,
  • Tummala Sahith

摘要

Both environmental change supervision and sustainable land management require effective enforcement of deforestation detection. The system adopts a segmentation method based on clustering together with a hybrid analysis model to process satellite data for accurate deforestation and afforestation analysis. A combination of deep learning with machine learning enables the system to detect forest losses by applying superior classification features for analysis. Such a monitoring method provides budget-friendly solutions and adaptable capabilities for massive deforestation survey work while maintaining exceptional assessment results. Decision-makers together with environmental organizations now have accessible data points from the system that supports sustainable forest management decisions.