Impact of Major Road Network on Landscape and Growth Pattern in Tehri Region
A Geospatial Technique
Bibliographic Data
| ID | 21649920 |
|---|---|
| Authors | Akhilesh Nautiyal (0000-0002-0900-9007, Department of Civil Engineering NIT Srinagar Garhwal Uttarakhand India, corresponding author), Anurag Gunsola (Department of Civil Engineering NIT Srinagar Garhwal Uttarakhand India, corresponding author), Samarth Y Bhatia (0000-0001-8345-3723, Systra MVA Consulting (India) Pvt Ltd. Ahmedabad India) |
| Year | 2025 |
| Volume | 36 |
| Issue | 14 |
| Pages | 4928-4946 |
| Publication date | 2025-08-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Land Degradation and Development (JOURNAL) |
| Journal identifiers | ISSN: 1085-3278 • E-ISSN: 1099-145X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ldr.5679 |
| OpenAlex | W4412121130 |
| Language | EN |
| Citations received | 1 |
| References cited | 58 |
This study examines land use and land cover (LULC) changes in the Tehri region from 2000 to 2024, utilizing the Shannon Entropy Index (H) as an indicator of sustainable urban growth by analyzing spatial dispersion patterns of built‐up areas. Landsat imagery from 2000, 2010, 2020, and 2024 was classified into barren land, built‐up areas, forest areas, and water bodies using the Maximum Likelihood Classifier. In 2000, barren land dominated with 53.23%, followed by forests at 42.54%, built‐up areas at 3.75%, and water bodies at 0.48%. By 2024, forests expanded to 51.67%, barren land decreased to 33.16%, built‐up areas grew significantly to 14.55%, and water bodies increased slightly to 0.63%. The Shannon Entropy Index was calculated based on proximity to the city center and major road networks, dividing the study area into zones. Results reveal a rising normalized Shannon Entropy Index for the city center (H C ′) and main road (H R ′), with values of 0.978 and 0.58 in 2024, reflecting increased urban fragmentation. Zones 8 and 16 exhibited the highest spatial dispersion (0.96), indicating irregular development patterns and outward expansion. In 2000, the Tehri region was classified as type D. Over the years, it has mostly shifted to type B, showing more dispersed and possibly unsustainable growth. We advocate for a comprehensive space utilization control strategy that integrates the city center and the peri‐urban area. This research demonstrates the utility of the Shannon Entropy Index in identifying potential zones of unsustainable development in hilly regions and offers a replicable framework for other areas with similar topographical and developmental dynamics
Cartography · Geography · Geospatial analysis · Computer Science · Land Use and Ecosystem Services · Remote Sensing and Land Use · Soil and Land Suitability Analysis
Change detection techniques
Urban sprawl measurement from remote sensing data
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
Dynamics of Urban Growth, Resource Degradation and Environmental Pollution in Million Plus Cities of India
Sustainable and inclusive – Evaluating urban sustainability indicators’ suitability for measuring progress towards SDG-11
The Lisbon ranking for smart sustainable cities in Europe
AI Ethics for Sustainable Development Goals
Measuring urban sprawl using land use data
Spatiotemporal urban growth dynamics and its interactions with transportation networks in an unplanned urban conglomeration using satellite imagery
Mitigation or Myth? Impacts of Hydropower Development and Compensatory Afforestation on forest ecosystems in the high Himalayas
Planning consistency and implementation in urbanizing China
Urban sprawl and land conversion in post-socialist cities
Community-driven material recovery facility (CdMRF) for sustainable economic incentives of waste management
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |