Urbanization patterns vary globally, shaped by culture and history. Indian cities often feature organic, mixed-use layouts fostering dense social interactions. British cities follow colonial grids and industrial planning, emphasizing functionality. American urbanization is defined by sprawling suburbs and car-centric designs. French cities prioritize monumental avenues and centralized urban planning, while Chinese urbanization combines traditional principles with high-density modern developments, reflecting rapid economic growth. Each pattern represents distinct urban priorities.
Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...
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