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.
Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?" Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧠Exampl...
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