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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67143
Volume:
10 |
9 |
Sep 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
B.Tech Digital Techniques For Designing And Planning, Jawaharlal Nehru Architecture and Fine Arts University
Jawaharlal Nehru Architecture and Fine Arts University
B.Tech Digital Techniques For Designing And Planning, Jawaharlal Nehru Architecture and Fine Arts University
Jawaharlal Nehru Architecture and Fine Arts University
B.Tech Digital Techniques For Designing And Planning, Jawaharlal Nehru Architecture and Fine Arts University
Jawaharlal Nehru Architecture and Fine Arts University
B.Tech Digital Techniques For Designing And Planning, Jawaharlal Nehru Architecture and Fine Arts University
Jawaharlal Nehru Architecture and Fine Arts University
Rapid urbanization has become an environmental problem in developing cities. The problem arises because more people move into cities. As a result many new buildings appear. New roads and other infrastructure are also built. People use land in new ways. The growth of cities leads to loss of plants, farmland and water areas. This loss makes the environment worse. The ground becomes hotter. The way the environment works inside the city also changes. Traditional methods of watching these changes take a time. Traditional methods do not show details. Therefore data focused methods are needed to understand how cities and the environment are changing.This study shows a way to watch and understand city growth and environmental changes. The study uses sensing and intelligent computers. The study uses satellite images taken at times. These images help people see how land is used and how buildings, plants and water areas change. Remote sensing tools such, as the Normalized Difference Vegetation Index, the Normalized Difference Built up Index and the Normalized Difference Water Index are used. These tools help describe how land and the environment change as cities expand. Geographic Information System techniques are used to examine these changes. These techniques help people show and measure the changes. Machine learning is used to guess what type of land is where. These guesses help show how cities grow. This study should show how buildings grow over time. The study should show how this growth affects plants, water and ground temperature. The study should help find places that grow fast and change a lot. The study should also help predict how cities might grow in the future. Combining sensing, GIS and intelligent computers gives a way to understand how cities and the environment influence each other. The results can help city planners and environmental workers. Planners and workers can use these results to plan city expansion in a way that protects the environment. They can also use these results to monitor the environment and manage land better.
KEYWORDS
This study proposes a combined system to observe land transformations and environmental degradation inside Hyderabad city using tools of Remote Sensing, GIS and Artificial Intelligence. By employing Landsat images; LULC changes are assessed. Spectral indices that is NDVI, NDBI, NDWI/MNDWI and LST are retrieved in order to detect vegetation presence, urban developments, water surfaces and surface temperature. For AI, the ML model like Random Forest was used to categorize landcover and detection of LULC change will be performed by using GIS approach showing the sprawl of land area and environmental consequences Areas that expand in high speed; reducing green coverage areas, expanding built ups which covers urban sprawl areas and modifying waterbody areas and higher temperatures will be extracted. Information derived is very much useful to planers, land owners and city planers of urban city Hyderabad. These spatial data created are highly useful for implementation of smart sustainable land-use techniques and proper conservation techniques of the land surfaces and better control over rapid urbanization.
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Publication Date
9/9/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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