Events9th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session D. Remote Sensing of the event 9th International Electronic Conference on Sensors and Applications
Published date
01 Nov, 2022
Academic Editor
author-avatarFrancisco Falcone
Citation
Diksha Rana, Rina Kumari, Maya Kumari, Land Use and Land Coverage Analysis with Google Earth Engine and Change Detection in the Sonipat District of the Haryana State in India, in Proceedings of 9th International Electronic Conference on Sensors and Applications, 1 November–15 November 2022, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-9-13366
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Land Use and Land Coverage Analysis with Google Earth Engine and Change Detection in the Sonipat District of the Haryana State in India

1. Amity School of Natural Resources & Sustainable Development, Amity University Uttar Pradesh
2. Amity School of Natural Resources and Sustainable Development, Amity University Uttar Pradesh
3. School of Environment and Sustainable Development, Central University of Gujarat
Abstract

The natural environment is of the utmost significance not only for a particular location but also for the entire world. This is because the natural environment provides essential environmental services to the human population. However, the environment is being negatively impacted by human activity as well as population growth. The most significant impact was felt in the national capital region. Using the Google Earth Engine (GEE) cloud platform and the QGIS desktop, the purpose of this research is to analyse the changes in land use and land cover (LULC) transformations that have taken place in the Sonipat district of India over the past ten years (2011–2021). Change detection (CD) of a LULC map is a method that examines shifts in LULC throughout time. Landsat 7 and the Sentinel 2 satellite image collections were utilised in this study. The study area was divided into four LULC categories using the most likely classified approach to quantify the changes over the aforementioned period. The results indicated that between 2011 and 2021, cropland in the study area decreased by about 11%. Built-up and the urban area increased by 3%. With the help of this study, decision-makers will be able to make choices that are appropriate in the given situation. The findings emphasise the value of satellite monitoring in reducing the rate of environmental degradation in the Sonipat district.

Keywords
Google Earth Engine (GEE)
Land use land cover (LULC)
Urbanization
Climate change
Land degradation
Change detection.
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