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Showing posts with the label Remote Sensing

Wildfires: GIS and Remote Sensing Monitoring and Mangement

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  Forests cover 20.55% of total India's geographic area. This large forest area requires proper timely monitoring and assessment as there are various problems that cause forest degradation and affects the ecosystem to a large extent. Forest Fires are one of these problems. As per the report of Forest Sir of India, 50% of the forest land is prone to fire. The risk of forest fire is at an alarming rate in India, so it requires a proper risk assessment and monitoring report. Geospatial data and tools are employed in this field to manage the forest fires in India. Satellite imagery and aerial photography are used in mapping, high-resolution sensors are used to detect the fires. As these forest fires contribute to environmental consequences, we have most recently observed Amazon forest fires and forest fires in Australia, which are devastating, species have been killed, the land has been destroyed, air pollution and many more ill effects have taken into place. So, this is really an impo

INDIA: Role of Geo Spatial Technology in Building Nation

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  India being a seventh-largest country (3.29 million sq km), fifth-largest economy (GDP $2.96 trillion) and second highest population (1.37 billion) in the world have various challenges in different sectors to sustain the growth and development of the nation. To bridge the social and economic disparity between different sections of society India needs a technological advancement and empowerment of citizens to enhance its system. In the 1980s, India adopted GIS technologies, India is using Remote Sensing Satellites, mapping, Geospatial database system, and other tools. In the early 2000s, a crucial step was taken which was considered to be impossible at that time as creating a blueprint for such a big project is next to impossible. India wants to create its own National Spatial Data Infrastructure. Indian democracy has 3 pillars and the fourth one is considered to be the information sector and this Geospatial database infrastructure is a crucial component of that pillar. The plan is to