Skip to main content

Nsdi vision and metadata

The National Geospatial Policy (NGP) is a strategic framework introduced by the Government of India to regulate, promote, and facilitate the development and utilization of geospatial data and services. The policy is designed to strengthen India's geospatial infrastructure, support decision-making, and drive economic growth, environmental management, and disaster response through the use of advanced geospatial technologies.

Key Components of the National Geospatial Ecosystem

1. Department of Science and Technology (DST) & National Spatial Data Infrastructure (NSDI)

  • Department of Science and Technology (DST) is the nodal agency responsible for coordinating geospatial activities in India. DST oversees the implementation of the National Spatial Data Infrastructure (NSDI).
  • National Spatial Data Infrastructure (NSDI) is a framework designed to facilitate the collection, sharing, and management of spatial data at different administrative levels, ensuring data interoperability and accessibility.

2. National Data Registry (NDR)

The National Data Registry (NDR) serves as a central repository where metadata about geospatial datasets is cataloged. It ensures that data users can locate, evaluate, and access the necessary geospatial information efficiently. NDR supports:

  • Metadata indexing: Providing essential details about available datasets.
  • Data discovery: Enabling users to search for relevant geospatial data.
  • Interoperability: Ensuring compatibility with different geospatial standards.

NSDI Vision and Metadata Standards

The NSDI Vision aims to ensure that geospatial data is:

  1. Accurate and up-to-date: Reliable datasets that reflect real-world conditions.
  2. Well-organized and accessible: Structured and standardized for seamless usage.
  3. Available at multiple levels: From national to village level, to support development planning.

NSDI Metadata Standards

The NSDI Metadata Standards are based on international metadata frameworks such as:

  • ISO 19115 (Geographic Information – Metadata) – Defines standards for geospatial metadata.
  • FGDC (Federal Geographic Data Committee, USA) – Establishes geospatial metadata guidelines.
  • ANZLIC (Australia-New Zealand Land Information Council) – Defines best practices for spatial data sharing.
  • Dublin Core – Provides a general-purpose metadata standard.
  • CSDGM (Content Standard for Digital Geospatial Metadata, USA) – Defines metadata elements for spatial data.

Key Metadata Elements Defined in NSDI Standards

Metadata CategoryDescription
AvailabilitySpecifies whether the geospatial data is publicly available or restricted.
ComplianceEnsures the dataset meets regulatory and technical standards.
AccessDefines how users can obtain the data (download, request, licensing, etc.).
QualityDescribes the accuracy, resolution, and reliability of the dataset.
FeaturesLists the attributes and spatial properties of the data (e.g., roads, rivers, land use).
LineageTracks the source, history, and transformation of the dataset over time.
TemporalityIndicates whether the dataset is static, periodic, or real-time.
Reference SystemsSpecifies the coordinate reference system (CRS) used (e.g., WGS 84, EPSG codes).
ExtentDefines the geographic coverage of the dataset (regional, national, global).

Comments

Popular posts from this blog

Geologic and tectonic framework of the Indian shield

  Major Terms and Regions Explained 1. Indian Shield The Indian Shield refers to the ancient, stable core of the Indian Plate made of hard crystalline rocks. It comprises Archean to Proterozoic rocks that have remained tectonically stable over billions of years. Important Geological Features and Regions ▪️ Ch – Chhattisgarh Basin A sedimentary basin part of the Bastar Craton . Contains rocks of Proterozoic age , mainly sedimentary. Important for understanding the evolution of central India. ▪️ CIS – Central Indian Shear Zone A major tectonic shear zone , separating the Bundelkhand and Bastar cratons . It records intense deformation and metamorphism . Acts as a suture zone , marking ancient tectonic collisions. ▪️ GR – Godavari Rift A rift valley formed due to stretching and thinning of the Earth's crust. Associated with sedimentary basins and hydrocarbon resources . ▪️ M – Madras Block An Archean crustal block in...

Geology and Tectonic. Indian Shield

1. Ch (Chattisgarh Basin): Chattisgarh Basin is a geological region in central India known for its sedimentary rock formations. It's important for its mineral resources, including coal and iron ore. 2. CIS (Central Indian Shear Zone): CIS is a tectonic boundary in central India where the Indian Plate interacts with the Eurasian Plate. It's characterized by significant faulting and seismic activity. 3. GR (Godavari Rift): The Godavari Rift is a geological feature associated with the rifting and splitting of the Indian Plate. It's located in the Godavari River basin in southeastern India. 4. M (Madras Block): The Madras Block is a stable continental block in southern India. It's part of the Indian Plate and is not associated with active tectonic processes. 5. Mk (Malanjkhand): Malanjkhand is known for its copper deposits and is one of the largest copper mines in India. 6. MR (Mahanadi Rift): The Mahanadi Rift is a geological feature related to the rifting of the Indian Pl...

Evaluation and Characteristics of Himalayas

Time Period Event / Process Geological Evidence Key Terms & Concepts Late Precambrian – Palaeozoic (>541 Ma – ~250 Ma) India part of Gondwana , north bordered by Cimmerian Superterranes, separated from Eurasia by Paleo-Tethys Ocean . Pan-African granitic intrusions (~500 Ma), unconformity between Ordovician conglomerates & Cambrian sediments. Gondwana, Paleo-Tethys Ocean, Pan-African orogeny, unconformity, granitic intrusions, Cimmerian Superterranes. Early Carboniferous – Early Permian (~359 – 272 Ma) Rifting between India & Cimmerian Superterranes → Neotethys Ocean formation. Rift-related sediments, passive margin sequences. Rifting, Neotethys Ocean, passive continental margin. Norian (210 Ma) – Callovian (160–155 Ma) Gondwana split into East & West; India part of East Gondwana with Australia & Antarctica. Rift basins, oceanic crust formation. Continental breakup, East Gondwana, West Gondwana, oceanic crust. Early Cretaceous (130–125 Ma) India broke fr...

Seismicity and Earthquakes, Isostasy and Gravity

1. Seismicity and Earthquakes in the Indian Subcontinent Key Concept: Seismicity Definition : The occurrence, frequency, and magnitude of earthquakes in a region. In India, seismicity is high due to active tectonic processes . Plate Tectonics 🌏 Indian Plate : Moves northward at about 5 cm/year. Collision with Eurasian Plate : Causes intense crustal deformation , mountain building (Himalayas), and earthquakes. This is an example of a continental-continental collision zone . Seismic Zones of India Classified into Zone II, III, IV, V (Bureau of Indian Standards, BIS). Zone V = highest hazard (e.g., Himalayas, Northeast India). Zone II = lowest hazard (e.g., parts of peninsular India). Earthquake Hazards ⚠️ Himalayas: prone to large shallow-focus earthquakes due to active thrust faulting. Northeast India: complex subduction and strike-slip faults . Examples: 1897 Shillong Earthquake (Magnitude ~8.1) 1950 Assam–Tib...

Vector geoprocessing - Clipping, Erase, identify, Union & Intersection

Think of your vector data (points, lines, polygons) like shapes drawn on a transparent sheet. Geoprocessing is just cutting, joining, or comparing those shapes to get new shapes or information. 1. Clipping ✂️ Imagine you have a big map and you only want to keep a part of it (like cutting a photo into a smaller rectangle). You use another shape (like the boundary of a district) to "clip" and keep only what is inside. Result: Only the data inside the clipping shape remains. 2. Erase 🚫 Opposite of clipping. You remove (erase) the area of one shape from another shape. Example: You have a city map and want to remove all the park areas from it. 3. Identify 🔍 This checks which features from one layer fall inside (or touch) another layer. Example: Identify all the schools inside a flood zone. 4. Union 🤝 Combines two shapes together and keeps everything from both. Works like stacking two transparent sheets and redrawing t...