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Time-Line Based Aerial Analysis for Impact of Rampant Urbanization on Lakes of Bengaluru (India)

Gopinath Rajesh, Cu Akarsh, Me Muralidhar

Civil and Environmental Engineering Reports

2022

Vol. 32, no. 1

1--18

Urbanization is introducing drastic transitions in the natural landscapes such as open areas, green spaces and water bodies of each and every city. The present study undertakes time line aerial analysis for 2 decades from 2000 to 2019 to comprehend the effect of urbanization upon the Lakes of Bengaluru. Once famed as the city of 1000 Lakes; its wetlands now pose serious concern in terms of quantity, quality, aesthetics, epidemics and as life support system for native aquatic species. The outcome for the research was arrived at by analyzing the reduction of physical/geographical area of forty-two prominent Lakes by analyzing Satellite imageries, with inferential observations and deductions. Bellandur and Varthur Lakes rank among the most critically effected, having lost 9,87,411 sq.m. & 619416 sq.m. and 1,33,205 sq.m. and 4,19,310 sq.m. owing to scrupulous encroachment & eutrophication respectively.

Charakterystyki radiometryczne miejskich terenów nadmorskich w rejonie Rzymu na podstawie optycznych i radarowych zobrazowań satelitarnych

Kowalewska-Kalkowska H.

Zeszyty Naukowe. Marine Sciences / Uniwersytet Szczeciński

1998

Nr 4

115-141

Landsat Thematic Mapper optical and ERS-1 SAR (image mode) radar data were analysed and compared to estimate their suitability to detect different types of land surface of the Roman urban and rural countryside area. Preliminary analysis of SAR data showed that speckle noise must be removed before radiometric analysis has been done. Radiometric analysis of such transformed data showed that the lowest values correspond to water, the highest to heterogeneous, urban areas; in the middle part of range are vegetated, homogeneous surfaces. Radiometric analysis of TM (1-4 wavebands) showed that it is very difficult to distinguish different types of land surfaces from raw data. Good results are obtained from NDVI map, where the lowest values of NDVI correspond to water, the highest to areas with dense vegetation. After the radiometric analysis and comparison of SAR and TM images has been done it seems to be possible to classify Roman urban and rural surfaces among three types: vegetated, unvegetated and water ones.