The Application of Remote Sensing Techniques in Ecological Environment Monitoring

Authors

  • Zehua Jiao

DOI:

https://doi.org/10.54097/7dqegz64

Keywords:

Application of Remote Sensing Technology, Vegetation, Water Body, Soil.

Abstract

As global environmental challenges continue to escalate, remote sensing technology has become an indispensable tool for researching, monitoring, and managing these issues. This article aims to summarize the principles of various remote sensing technologies, their primary application areas, and their crucial role in ecological and environmental conservation for sustainable development. Remote sensing technology offers a diverse array of data from multiple sources and scales, facilitating the monitoring of natural resource changes, studying ecosystem health, and assessing the impact of human activities on the environment. In-depth exploration of the latest advancements and application cases in remote sensing includes: (1) Vegetation: Applications in vegetation monitoring encompass the use of technologies such as unmanned aerial vehicle (UAV) remote sensing and laser radar (LiDAR) for monitoring forest health, vegetation cover, and changes. These applications support forest management and ecological research. (2) Water Bodies: Thermal infrared remote sensing and satellite remote sensing are utilized to monitor water quality, water level fluctuations, and aid in water resource management, addressing water resource challenges. (3) Soil: Remote sensing technology is employed in soil applications, utilizing multispectral and synthetic aperture radar (SAR) techniques for soil property assessment, soil moisture analysis, and soil erosion prediction. These applications contribute to agricultural and land management decisions, and provide suitable remote sensing technologies for the current trends in the ecological field, serving as a reference for monitoring methods.

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Published

26-01-2024

How to Cite

Jiao, Z. (2024). The Application of Remote Sensing Techniques in Ecological Environment Monitoring. Highlights in Science, Engineering and Technology, 81, 449-455. https://doi.org/10.54097/7dqegz64