Shapefile Components 🔹 .shp — Geometry file What it contains: • The actual geographic shapes (points, lines, polygons) Examples: • City locations (points) • Roads (lines) • Administrative boundaries (polygons) 📌 This is the core file — without it, there is no map. ⸻ 🔹 .shx — Shape index file What it contains: • An index of the geometry file • Allows fast access to shapes 📌 Improves performance when loading and navigating data. ⸻ 🔹 .dbf — Attribute table What it contains: • Attribute data linked to each shape • Stored in dBASE format Examples: • Name, population, area, ID • Road type, length, category 📌 Each row corresponds to one geometry in the .shp file. ⸻ 🔹 .prj — Projection file What it contains: • Coordinate Reference System (CRS) information • Projection, datum, units 📌 Without this file, GIS software does not know where the data is on Earth. ⸻ 🧩 Optional (But Common) Shapefile Files 🔹 .cpg — Character encoding What it contains: • Text encoding for the .dbf file (UTF-8, Latin1, etc.) 📌 Prevents issues with special characters and accents. ⸻ 🔹 .sbn / .sbx — Spatial index files What they contain: • Spatial indexing for faster rendering and queries 📌 Automatically created by some GIS software. ⸻ 🔹 .xml — Metadata file What it contains: • Dataset description • Source, author, creation date, data quality
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...
Comments
Post a Comment