Literature DB >> 30022286

Analyzing urban landscape with City Biodiversity Index for sustainable urban growth.

Shubhasmita Sahani1,2, V Raghavaswamy3,4.   

Abstract

Urbanization process converts natural landscape into an anthropogenic urban landscape. The present paper attempts to understand spatiotemporal urban dynamics of a mid-sized Indian town-Khammam in Telangana-by carrying out Land Use Land Cover Change Analysis for assessing urban growth pattern. A set of metrics of Landscape Analysis available to analyze growth pattern and broadly categorized into two sets-composition and configuration. Principal Component Analysis was used to identify three critical metrics from Landscape Analysis, viz., Number of Patches and Edge Length and Splitting Indexes while two additional metrics of the composition set, viz., Shannon Diversity and Shannon Evenness Indexes, based on expert opinion were added to make the study amenable. Twenty-three indicators of City Biodiversity Index broadly grouped into three core components, viz., Native Biodiversity in City, Ecosystem Services provided, and governance and management of CBI, were analyzed, and five indicators that were amenable to digital interpretation of satellite data pertaining to proportion of park and natural area within city, availability of water or quantum of water for urbanization, extent of natural protected area, extent of parks and natural area, and impact of vegetated area on ambient cooling were studied. Study indicated that in Khammam score of 8 out of a total score of 20 in CBI analysis indicated unsustainable growths, although trends among individual LULC components varied making it essential to study individual patterns. Study highlights need to use such indicators to guide urban development in mid-sized urban towns and cities that could substitute for large metropolitan cities as the growth engine in future.

Keywords:  City Biodiversity Index; Ecosystem Services; Landscape Analysis; OSGIS; Spatio-temporal dynamics; Urbanization

Mesh:

Year:  2018        PMID: 30022286     DOI: 10.1007/s10661-018-6854-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Integration of Sentinel-1 and Sentinel-2 for Classification and LULC Mapping in the Urban Area of Belém, Eastern Brazilian Amazon.

Authors:  Paulo Amador Tavares; Norma Ely Santos Beltrão; Ulisses Silva Guimarães; Ana Cláudia Teodoro
Journal:  Sensors (Basel)       Date:  2019-03-06       Impact factor: 3.576

  1 in total

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