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The CMDA administers the Chennai Metropolitan Region, spread over an area of 5,904 km 2 (2,280 sq mi) and covers the districts of Chennai, Thiruvallur, Chengalpattu, Ranipet and Kancheepuram. [1] It was set up for the purposes of planning, co-ordination, supervising, promoting and securing the planned development of the Chennai Metropolitan ...
In 1974, the Madras metropolitan area comprised a total extent of 1,189 km 2 (459 sq mi). [5] In 2011, first plans to expand the metropolitan area were proposed by Chennai Metropolitan Development Authority (CMDA) as several settlements on the outer vicinity had been undergoing rapid development and had to be incorporated under the CMDA planning strategy.
The organisation was known as Calcutta Metropolitan Development Authority (CMDA) and retains its previous logo. KMDA is functioning under the administrative control of Department of Urban Development and Municipal Affairs of Government of West Bengal .
Land use capability maps are maps created to represent the potential uses of a "unit" of land. They are measured using various indicators, although the most common are five physical factors ( rock type , soil type , slope, erosion degree and type, and vegetation).
Cumulative CO2 emissions from land-use change (as of 2021). Emissions from land-use change can be positive or negative depending on whether these changes emit (positive, brown on the map) or sequester (negative) carbon (green on the map). Land use is an umbrella term to describe what happens on a parcel of land.
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
Information flow in the CLUE-S /Dyna-CLUE model (overview) [9] The Dyna-CLUE (dynamic conversion of land use and its effects) model is the adapted version of CLUE-S model, built upon the combination of the top-down approach of spatial allocation of land-use change and bottom-up approach of specification of conversions for specific land-use alterations.
Community members learned how to use the computer resources, ArcView 1.0, and build a theme or land use map of the surrounding area. They were able to perform spatial queries and analyze neighborhood problems. Some of these problems included finding absentee landlords and finding code violations for the buildings on the maps. [16]