Spectral Indices for Vegetation Analysis: OSAVI & GVMI
OSAVI and GVMI are spectral indices used for assessing vegetation health and water content in remote sensing.
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Understanding NDVI, TNDVI & NDWI: Satellite-Based Indices for Vegetation and Water Monitoring
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Vegetation Indices in Remote Sensing-Land Surface Water Index LSWI-Triangular Vegetation Index
By Suraj Ashok Jadhav (Shivaji University Student) Unlocking the Power of Remote Sensing Vegetation indices are quantitative measures obtained from satellite or airborne sensor observations that assist in determining the presence, health, and vigor of vegetation. They are computed from reflectance values in certain spectral bands—typically in the visible, near-infrared NIR, and shortwave infrared SWIR
MNDWI – The Modified Normalized Difference Water Index
MNDWI, NDMI, and NDSI are remote sensing indices for water, vegetation, and snow detection.
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Remote Sensing Concepts
Remote sensing (RS) is the science of acquiring information about the Earth’s surface without physical contact, using sensors mounted on satellites, drones, or aircraft. These sensors capture data across various spectral bands—such as visible light, infrared, and microwave—to analyze different features like vegetation, water bodies, and urban areas. The spatial resolution of an image determines its detail, with smaller
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The Future of Remote Sensing: AI and Machine Learning Integration
Remote sensing has revolutionized how we observe and analyze the Earth’s surface, providing critical data for environmental monitoring, urban planning, agriculture, and disaster management. With advancements in Artificial Intelligence (AI) and Machine Learning (ML), remote sensing is undergoing a transformative shift, enabling faster, more accurate, and automated data interpretation. This article explores how AI and ML
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How Remote Sensing is Helping to Combat Deforestation
Deforestation remains one of the most pressing environmental challenges of our time, contributing to climate change, biodiversity loss, and disruptions in local ecosystems. However, advancements in remote sensing technology, combined with Geographic Information Systems (GIS) and Information Technology (IT), are revolutionizing how we monitor and combat deforestation. Organizations like Quantox Technologies and platforms such as GeographicBook.com are leveraging these tools to provide data-driven solutions
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Sentinel-2 Satellite: Free Data for Remote Sensing Students & Businesses
Sentinel-2 provides free, high-resolution imagery for environmental monitoring, benefiting agriculture and urban planning.
Sentinel-2 Satellite: Free Data for Remote Sensing Students & Businesses Read More »
The Role of Remote Sensing in Wildlife Conservation
Remote sensing transforms wildlife conservation by providing real-time, scalable data for monitoring and protection efforts.
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