Advancements in remote sensing tools for forestry analysis

Shruti Kanga

Article ID: 2269
Vol 6, Issue 1, 2023

VIEWS - 79 (Abstract) 62 (PDF)


Remote sensing technologies have revolutionized forestry analysis by providing valuable information about forest ecosystems on a large scale. This review article explores the latest advancements in remote sensing tools that leverage optical, thermal, RADAR, and LiDAR data, along with state-of-the-art methods of data processing and analysis. We investigate how these tools, combined with artificial intelligence (AI) techniques and cloud-computing facilities, enhance the analytical outreach and offer new insights in the fields of remote sensing and forestry disciplines. The article aims to provide a comprehensive overview of these advancements, discuss their potential applications, and highlight the challenges and future directions. Through this examination, we demonstrate the immense potential of integrating remote sensing and AI to revolutionize forest management and conservation practices.


remote sensing; forestry analysis; optical; thermal; RADAR; LiDAR; artificial intelligence (AI); cloud computing

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