Professional paper

Evaluation of Land Use and Land Cover Transformation and Urban Dynamics Using Multi-Temporal Satellite Data

Perminder Singh orcid.org/0000-0002-6440-1829 ; Department of Environmental Science, RIMT University Mandi Gobindgarh, Punjab, India
Sandeep Singla orcid.org/0000-0002-8259-9218 ; Department of Civil Engineering, RIMT University Mandi Gobindgarh, Punjab, India
Aarti Bansal orcid.org/0000-0002-2147-5166 ; Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

Abstract

Assessment of Land use and land cover (LULC) transformations at different spatial levels is crucial in several areas, including protection of the environment, resource utilization, planning and sustainability. The present work is an attempt to carry out a detailed study of LULC transformations and to analyze urban areas in Srinagar city (India) using multi-temporal Landsat satellite data for the year 1995 to 2019. Seven different LULC classes were delineated for the selected periods by a supervised method using maximum likelihood classifier algorithm in ERDAS Imagine 14. The findings indicate that over the specified periods substantial changes have occurred in terms of LULC. Overall seven categories were identified and, throughout studies, three trends of LULC change were observed (1) continuous expansion of the area under the class of built-up, barren, horticulture (2) agriculture, water and marshy class are continuously decreasing (3) increase (1995–2010) and decrease (2010–2019) in forest classes between two periods. During the study period, in built-up (+), horticulture (+), agriculture (–) water (–) and marshes (–) most significant changes have been observed, referencing to change in percentage within each class, the maximum variability was observed in built-up (148.07%), horticulture (40.87%), marshes (–58.37%), water (–22%) and agriculture (–35.38%). For quantitative assessment changes Land Consumption Rate (LCR) and Land Absorption Coefficient (LAC) were introduced. The overall research scenario shows that the LULC transition in the city is very evident. The rapid change of LULC in the ecologically sensitive Srinagar city is driven mainly by anthropogenic sources and has a negative environmental influence.

Keywords

LULC; multi-temporal; Maximum Likelihood Classifier (MLC); urban

Hrčak ID:

269419

URI

https://hrcak.srce.hr/269419

Publication date:

29.9.2021.

Article data in other languages: croatian

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