SPATIAL DATA INFRASTRUCTURE
SDI is an infrastructure implementing a framework of spatial data, meta data, versioning, access control and tools that enable users to use the data in an efficient and flexible way.
source - wiki
The SDI holds various themes of spatial as well as non spatial data. Spatial data themes may include administrative boundaries such as forest divisions, district and state boundaries; riverbasins, sub-basins, swamps, dams, catchment areas, reservoirs and watersheds; temporal data such as forest fire occurrences, land use changes, urbanization etc; soil data and soil carbon data; climatic data such as temperature, rainfall and drought occurrences etc
To overcome current challenges in the handling lake information; satellite imagery and smart phones are deployed to map and monitor lakes in Telangana. Smartphones enable not only in capturing location attributes of lakes but also enable geo-tagging the activities carried in and around the lakes like bund renovation, desilting etc. Satellite imagery is used to generate lake boundaries, estimate lake holding capacity and also monitor the effect of the lake regeneration on the command areas.
years of satellite data
Western Ghats, one of the globally recognized biodiversity hotspots, has recently been inscribed on the UNESCO world heritage list. This region, of late, has been witnessing a wide range of intense public and government debates on conservation of biodiversity vis-`a-vis economic development involving energy, mining,tourism and other sectors. New and innovative methods using geospatial technology can help stakeholders, have access not only to the data but also to the appropriate tools for informed decision making.
SDI is designed in such a way to handle the temporal changes of the datasets. All the spatial data can be made available using WMS and WFS webservices as per OGC standards. Registered Users can download data or use the services to perform analysis.Data residing in the SDI can accessed from Desktop tools such as QGIS, gvSIG. The WMS and WFS urls can be used to access the data of the SDI. Along with the SDI, Kriti - an Android based mobile App, has been developed to enable users to post spatial data directly to the SDI. This unique feature enables dynamic update of data in this SDI.
The SDI is developed as an hybrid architecture of Model View Controller(MVC) and RestFUL webservices. The SDI data access and services are consumed via RestFUL services. The user interaction with the underlying data happens via MVC. The data model defines access and publishes data via web services with predefined access control. This model is capable of defining access to users based on user, location and data layers. This enables more control over the data and its access.