Skip to main content

Datums Geodetic Vertical Global Local

A datum is a mathematical model that defines how the Earth's shape is represented for mapping and spatial data analysis. It serves as the foundation for geographic coordinate systems (GCS) and projected coordinate systems (PCS). Datums are crucial for accurate positioning, navigation, and geographic measurements.

1. Types of Datums in GIS

Datums are categorized into:

  1. Geodetic Datums (Horizontal Datums) – Define positions on the Earth's surface using latitude and longitude.
  2. Vertical Datums – Define elevations or depths relative to a reference surface (e.g., sea level).
  3. Global vs. Local Datums – Distinguish between datums that are globally applicable versus those optimized for a specific region.

2. Geodetic Datum (Horizontal Datum)

A geodetic datum defines a reference system for measuring positions (latitude, longitude) on the Earth's surface. It accounts for the Earth's ellipsoidal shape and is crucial for GPS and mapping applications.

Key Components of a Geodetic Datum

  1. Ellipsoid (Spheroid): An idealized mathematical model approximating the Earth's shape.
    • Example: WGS84, GRS80, Clarke 1866.
  2. Reference Point: A fixed point from which measurements originate.
  3. Coordinate System: Specifies how latitude and longitude are measured.

Examples of Geodetic Datums

  • WGS84 (World Geodetic System 1984) → Used by GPS and Google Maps.
  • NAD83 (North American Datum 1983) → Used in North America.
  • ETRS89 (European Terrestrial Reference System 1989) → Used in Europe.

Practical Use Case

  • When using GPS, your device references WGS84, ensuring global consistency in navigation.
  • A local GIS project in India may use Everest 1830 for better accuracy.

3. Vertical Datum

A vertical datum defines the reference surface for measuring elevation or depth. It is essential for terrain analysis, flood modeling, and coastal studies.

Types of Vertical Datums

  1. Tidal Datum: Based on sea level (e.g., Mean Sea Level - MSL).
  2. Geoid-Based Datum: Uses the geoid, a model of the Earth's gravity field (e.g., EGM96, NAVD88).
  3. Ellipsoidal Datum: Uses the reference ellipsoid for height measurements (e.g., WGS84 ellipsoidal height).

Examples of Vertical Datums

  • EGM96 (Earth Gravitational Model 1996) → Used globally.
  • NAVD88 (North American Vertical Datum 1988) → Used in the USA.
  • MSL (Mean Sea Level) → Used as a general reference for elevations.

Practical Use Case

  • Elevation data from NASA's SRTM (Shuttle Radar Topography Mission) is referenced to the EGM96 geoid.
  • Coastal flood risk mapping relies on Mean Sea Level (MSL) as a reference.

4. Global vs. Local Datums

Global Datums

A global datum provides a reference system that fits the entire Earth. It is optimized for worldwide accuracy but may introduce small errors at a local scale.

  • Example: WGS84 (World Geodetic System 1984) – Used for GPS globally.

Local Datums

A local datum is optimized for a specific country or region, providing higher accuracy within that area but not globally.

  • Example: Everest 1830 – Used in India.

Comparison Table: Global vs. Local Datums

FeatureGlobal DatumLocal Datum
CoverageWorldwideSpecific region
AccuracyGood globally, but minor local errorsHigh accuracy in a specific area
ExampleWGS84 (Global)NAD83 (North America), Everest 1830 (India)

Practical Example

  • Google Earth & GPS use WGS84 for global consistency.
  • A cadastral survey in Kerala, India may use Everest 1830 for precise local mapping.

5. Importance of Choosing the Right Datum in GIS

Selecting the correct datum is crucial to avoid coordinate mismatches and positional errors in GIS.

  • If a dataset in WGS84 is overlaid with data in NAD83, there might be offsets of several meters.
  • Elevation data based on ellipsoidal height may differ significantly from a geoid-based height.
  • Geodetic datums define horizontal positioning (latitude/longitude).
  • Vertical datums define elevation or depth.
  • Global datums (e.g., WGS84) are suitable for worldwide applications, while local datums (e.g., NAD83, Everest 1830) provide higher accuracy in specific regions.

Comments

Popular posts from this blog

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 ...

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. 🛰️ 1. Active Remote Sensing 📘 Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. 📊 Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...

Resolution of Sensors in Remote Sensing

Spatial Resolution 🗺️ Definition : The smallest size of an object on the ground that a sensor can detect. Measured as : The size of a pixel on the ground (in meters). Example : Landsat → 30 m (each pixel = 30 × 30 m on Earth). WorldView-3 → 0.31 m (very detailed, you can see cars). Fact : Higher spatial resolution = finer details, but smaller coverage. Spectral Resolution 🌈 Definition : The ability of a sensor to capture information in different parts (bands) of the electromagnetic spectrum . Measured as : The number and width of spectral bands. Types : Panchromatic (1 broad band, e.g., black & white image). Multispectral (several broad bands, e.g., Landsat with 7–13 bands). Hyperspectral (hundreds of very narrow bands, e.g., AVIRIS). Fact : Higher spectral resolution = better identification of materials (e.g., minerals, vegetation types). Radiometric Resolution 📊 Definition : The ability of a sensor to ...

geostationary and sun-synchronous

Orbital characteristics of Remote sensing satellite geostationary and sun-synchronous  Orbits in Remote Sensing Orbit = the path a satellite follows around the Earth. The orbit determines what part of Earth the satellite can see , how often it revisits , and what applications it is good for . Remote sensing satellites mainly use two standard orbits : Geostationary Orbit (GEO) Sun-Synchronous Orbit (SSO)  Geostationary Satellites (GEO) Characteristics Altitude : ~35,786 km above the equator. Period : 24 hours → same as Earth's rotation. Orbit type : Circular, directly above the equator . Appears "stationary" over one fixed point on Earth. Concepts & Terminologies Geosynchronous = orbit period matches Earth's rotation (24h). Geostationary = special type of geosynchronous orbit directly above equator → looks fixed. Continuous coverage : Can monitor the same area all the time. Applications Weather...

Man-Made Disasters

  A man-made disaster (also called a technological disaster or anthropogenic disaster ) is a catastrophic event caused directly or indirectly by human actions , rather than natural processes. These disasters arise due to negligence, error, industrial activity, conflict, or misuse of technology , and often result in loss of life, property damage, and environmental degradation . Terminology: Anthropogenic = originating from human activity. Technological hazard = hazard caused by failure or misuse of technology or industry. 🔹 Conceptual Understanding Man-made disasters are part of the Disaster Management Cycle , which includes: Prevention – avoiding unsafe practices. Mitigation – reducing disaster impact (e.g., safety regulations). Preparedness – training and planning. Response – emergency actions after the disaster. Recovery – long-term rebuilding and policy correction. These disasters are predictable and preventable through strong...