{'fraction_non_alphanumeric': 0.017193566278424846, 'fraction_numerical': 0.0016638935108153079, 'mean_word_length': 5.074074074074074, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
AUTOMATIC DETECTION OF URBAN SPRAWLS BY EXTRACTION OF BUILTUP AREA
OVER HYDERABAD CITY

Today, urban growth is a multidimensional spatial and population process in which cities and
urban settlements are considered as centers of population focus owing to their specific economic
and social features, which form a vital component in the development of human societies. The
analysis of urban growth using spatial and attribute data of the past and present is regarded as
one of the basic requirements of urban geographical studies, future planning as well as the
establishment of political policies for urban development. Mapping, modeling, and
measurements of urban growth can be analyzed using GIS and remote sensing-based statistical
models. In the present study, the aerial photos and satellite images of 5 periods, were used to
determine the process of expansion of the urban boundary of Bandar Abbas. Here, in order to
identify the process of expanding urban boundaries with time, the circular administrative border
of the city of Bandar Abbas, was divided into 32 different geographical directions.
Here, Pearson’s Chi-square distribution as well as Shannon’s entropy is used in calculating the
degree of freedom and the degree of sprawl for the analysis of growth and development of the
cities. In addition to these models, the degree-of-goodness was also used for combining these
models in the measurement and determination of urban growth. In this way, it was found that the
city of Bandar Abbas has a high degree of freedom and degree of sprawl, and a negative degree
of goodness in urban growth. Regardless of the results achieved, the current study indicates the
capability of aerial photos and satellite imagery in the effectiveness of spatio-statistical models
of urban geographical studies.