Rapid land use/land cover change (LULCC) caused by urbanization alters the thermal characteristics of an area at a local scale, resulting in urban heat island (UHI) impacts. The use of geospatial techniques such as remote sensing and Geographic Information Systems is one of the most detailed and useful ways to produce land use classification maps (GIS). It substantially enhances the selection of areas in a region that are defined as agricultural, industrial, and/or urban. Changes in land use have been noted in Ghaziabad and its environs, and new developments (agricultural, commercial, industrial, and urban) are appearing on a daily basis. The goal of this study was to assess changes in land use and cover in Ghaziabad from 1990 to 2020. Using satellite images, a supervised classification method was used to categorize them, and then a post-classification change detection technique in GIS was used to quantify the geographical and temporal dynamics of land use/land cover changes. Between 1990 and 2020, there was an increase in built-up land, Fallow land and Bricklin. Crop land and vegetation as well as water body, on the other hand, have been declining. In this study, it is observed that the built-up area of the Ghaziabad was 45,684.2 acres in 1990 which is increased to 50,423.2 acres in 2021 and crop land is decreased from 330,645 to 270,961 acres in 2021. Economic development, climatic change, and population growth were the primary forces behind this shift. Rapid urbanization and deforestation have resulted in a variety of environmental consequences, including deterioration of habitat quality.

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A Remote Sensing GIS-Based Evaluation of Urban Expansion and Land Use/Land Cover Change—A Case Study of Ghaziabad District, India

  • Bhartendu Sajan,
  • Suraj Kumar Singh,
  • Shruti Kanga,
  • Praveen Kumar Rai,
  • Varun Mishra

摘要

Rapid land use/land cover change (LULCC) caused by urbanization alters the thermal characteristics of an area at a local scale, resulting in urban heat island (UHI) impacts. The use of geospatial techniques such as remote sensing and Geographic Information Systems is one of the most detailed and useful ways to produce land use classification maps (GIS). It substantially enhances the selection of areas in a region that are defined as agricultural, industrial, and/or urban. Changes in land use have been noted in Ghaziabad and its environs, and new developments (agricultural, commercial, industrial, and urban) are appearing on a daily basis. The goal of this study was to assess changes in land use and cover in Ghaziabad from 1990 to 2020. Using satellite images, a supervised classification method was used to categorize them, and then a post-classification change detection technique in GIS was used to quantify the geographical and temporal dynamics of land use/land cover changes. Between 1990 and 2020, there was an increase in built-up land, Fallow land and Bricklin. Crop land and vegetation as well as water body, on the other hand, have been declining. In this study, it is observed that the built-up area of the Ghaziabad was 45,684.2 acres in 1990 which is increased to 50,423.2 acres in 2021 and crop land is decreased from 330,645 to 270,961 acres in 2021. Economic development, climatic change, and population growth were the primary forces behind this shift. Rapid urbanization and deforestation have resulted in a variety of environmental consequences, including deterioration of habitat quality.