Remote sensing tool for monitoring land-cover and surface temperature

Potential climate/ disaster impacts addressed by approach & Justification for approach:

The intertwined challenges of climate change and rapid urbanization present a formidable global issue. Climate change, driven by the accumulation of greenhouse gases, is intensifying weather extremes, rising sea levels, and disrupting ecosystems. Simultaneously, the unprecedented growth of urban areas is accelerating resource consumption, contributing to emissions, and altering land use patterns, amplifying the climate crisis. Assessing these complex changes is difficult and requires comprehensive strategies and methods, such as data analysis and visualization, that harmonize urban development with climate resilience to ensure a sustainable future for rapidly urbanizing populations.

Process of Implementation:

The web-based and user-friendly application within Google Earth Engine designed for swiftly processing and analyzing opensource Landsat satellite data, enables users to specify a geographic area and time range, perform calculations, visualize, and export diverse outcomes and data layers such as surface temperature (ST), vegetation index (NDVI), building index (NDBI), and land cover (classified using index-based methods). The user-specific produced data can then be used further in spatial planning, heat island assessments, environmental monitoring, education, and outreach as well as in policy-making.

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