Authors : Dr. Ananya Sharma, Rohan Mehta
Abstract : Remote sensing has emerged as a pivotal technology for environmental monitoring and management, particularly in the assessment and mapping of forest cover. As deforestation and forest degradation continue to pose serious threats to biodiversity and climate stability, remote sensing provides accurate, timely, and cost-effective solutions for monitoring forest ecosystems. This paper explores the principles, techniques, and significance of remote sensing in forest cover mapping. It delves into the use of multispectral and hyperspectral imagery, LiDAR, and radar sensors in capturing and analyzing forest data. The integration of satellite imagery with GIS tools enhances spatial analysis and supports effective decision-making for sustainable forest management. Through examples, this paper highlights the application of remote sensing in detecting forest changes, estimating biomass, and classifying forest types. By evaluating various methodologies and datasets, this study establishes the importance of continued technological advancement and capacity building in remote sensing for global forest conservation efforts.
Keywords: Remote sensing, Forest mapping, Satellite imagery, GIS, Vegetation analysis, Deforestation monitoring, Biomass estimation
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