Skip to main content

Geographic and Projected Coordinate System

In GIS, spatial referencing is essential to accurately locate and analyze geographic features. Two fundamental systems used for spatial referencing are the Geographic Coordinate System (GCS) and the Projected Coordinate System (PCS).


1. Geographic Coordinate System

A Geographic Coordinate System (GCS) is a system that defines locations on the Earth's surface using a three-dimensional spherical surface. It uses latitude and longitude as coordinates.

Components

  1. Datum: A mathematical model representing the Earth's shape.
    • Example: WGS84 (used in GPS), NAD83, and ETRS89.
  2. Prime Meridian: The reference meridian (0° longitude), usually Greenwich Meridian.
  3. Units of Measurement: Degrees (°), Minutes ('), and Seconds (") or Decimal Degrees (DD).
  4. Latitude & Longitude:
    • Latitude: Measures north-south position (0° at the equator, ±90° at poles).
    • Longitude: Measures east-west position (0° at the Prime Meridian, ±180° east/west).
  5. Ellipsoid: Defines the Earth's approximate shape.
    • Example: WGS84, Clarke 1866, GRS80.

Example

  • New Delhi, India: (28.6139°N, 77.2090°E)
  • New York, USA: (40.7128°N, 74.0060°W)

Advantages of GCS

Preserves true location on a global scale.
✔ Used in GPS and global datasets.

Limitations of GCS

✘ Not suitable for distance and area calculations due to Earth's curvature.
✘ Angular units (degrees) make it difficult to measure in linear units like meters.


2. Projected Coordinate System

A Projected Coordinate System (PCS) is a two-dimensional, planar coordinate system that represents the Earth on a flat surface using X (easting) and Y (northing) coordinates. PCS applies mathematical transformations (projections) to convert GCS (spherical coordinates) into a flat map.

Components

  1. Projection: The method used to transform 3D Earth to 2D.
    • Example: Mercator, UTM, Albers, Lambert Conformal Conic.
  2. Datum: The same datum as in GCS but adapted for projection.
  3. Units of Measurement: Typically in meters or feet.
  4. Coordinate Axes:
    • Easting (X-axis): Measures distance eastward.
    • Northing (Y-axis): Measures distance northward.

Types of Map Projections in PCS

  1. Cylindrical Projections (e.g., Mercator Projection)
    • Best for navigation and equatorial regions.
    • Example: Google Maps uses Web Mercator.
  2. Conic Projections (e.g., Albers Equal-Area, Lambert Conformal Conic)
    • Best for mid-latitude areas (e.g., USA, Europe).
    • Used in climate mapping and land-use studies.
  3. Planar (Azimuthal) Projections (e.g., Polar Stereographic)
    • Best for polar regions.
    • Used in Arctic and Antarctic studies.

Example of PCS Coordinates

  • New Delhi, India (UTM Zone 43N): (X: 722,567.89 m, Y: 3,168,234.56 m)

Advantages of PCS

Maintains distance, area, and shape for regional/local mapping.
✔ Uses linear measurement units (meters, feet), making calculations easier.

Limitations of PCS

Distortion increases with area size (No projection can preserve all properties at once).
✘ Not globally applicable—designed for specific regions.


Comparison

FeatureGeographic Coordinate SystemProjected Coordinate System
RepresentationSpherical (3D)Planar (2D)
CoordinatesLatitude (φ), Longitude (λ)X (Easting), Y (Northing)
UnitsDegrees (°)Meters, Feet
Best Use CaseGlobal navigation, GPSLocal/regional mapping
Example SystemsWGS84, NAD83UTM, State Plane

Practical Example in GIS

Scenario: Mapping Flood-Prone Areas in Kerala, India

  1. Step 1: Use GCS (WGS84) for Global Positioning
    • Collect raw satellite data (Sentinel-2, Landsat) in WGS84.
  2. Step 2: Convert to PCS (UTM Zone 43N)
    • Convert coordinates for high-accuracy flood mapping.
    • Use UTM projection to measure affected area in square kilometers.
  • GCS is essential for global-scale mapping and GPS navigation.
  • PCS is crucial for accurate distance and area calculations in local/regional studies.
  • Choosing the right coordinate system depends on the purpose, scale, and accuracy needed.

Comments

Popular posts from this blog

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Energy Interaction with Atmosphere and Earth Surface

In Remote Sensing , satellites record electromagnetic radiation (EMR) that is reflected or emitted from the Earth. Before reaching the sensor, radiation interacts with: The Atmosphere The Earth's Surface These interactions control how satellite images look and how we interpret them. I. Interaction of EMR with the Atmosphere When solar radiation travels from the Sun to the Earth, four main processes occur: 1. Absorption Definition: Absorption occurs when atmospheric gases absorb radiation at specific wavelengths and convert it into heat. Main absorbing gases: Ozone (O₃) → absorbs Ultraviolet (UV) Carbon dioxide (CO₂) → absorbs Thermal Infrared Water vapour (H₂O) → absorbs Infrared Concept: Atmospheric Windows These are wavelength regions where absorption is very low, allowing radiation to pass through the atmosphere. Remote sensing depends on these windows. For example, satellites like Landsat 8 use visible, near-infrared, and thermal bands located in atmospheric windows. 2. Trans...

Scattering

Scattering 

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...