Geospatial Approaches to Urban Environment and Development: A Study of Delhi’s Cityscape and Surrounding Region
The geospatial technologies especially the remote sensing satellites have now been becoming for collection of geospatial big database for mapping of the earth surface and resources as the land use land cover mapping and monitoring periodically at the local, regional, and global levels. The Land cover consider to the type of features present on the surface of the earth. Whereas, the land use considers to the human activity or the economic function associated with a specific piece of land.
The urban or built-up land is composed of areas of intensive use with much of land covered by structures. The cities, towns, villages, strip development along highways; transportation, power, and communication facilities; shopping centres, industrial and commercial complexes, and institutions isolated from urban areas. So, the main objectives of the study are (i) to see the geospatial trends and patterns of urban land use land cover; (ii) to see the changes in LULC and its impacts on urban landscape; (iii) to suggest suitable strategies for sustainable urban environment development.
The Landsat’s TM and ETM+, SPOT satellite’s HRV, IRS satellite’s LISS and PAN imagery are representative bigdata base sources for many levels of mapping and monitoring LULC of the earth. Since 1970s, a LULC classification system was devised by the USGS. This classification Scheme also applicable to many urban and regional planning and environment management. The LULC classification was developed to the widespread use of satellite imagery and computer-assisted classification techniques and algorithms for accuracy of results for the complex geographic areas and regions.
However, due to the digitalisation of earth surface over time and space, digital big database has been generated for mapping and monitoring of the urban landscapes as for the metropolitan Delhi's Cityscape by the urban planners and developers for the sustainable urban landscape's environment development.
Mots clés : Geospaitial Analysis|Land Use Land Cover|Big Database|Urban landsacape/Cityscape|Sustainable Development
A105192MM