Detection of Urban and Environmental Changes via Remote Sensing

Area of Science:

• Environmental Science
• Geospatial Analysis
• Sustainable Development

Background:

• Rapid climate and environmental changes necessitate understanding land use and land cover dynamics.
• Land transformation, particularly urban expansion, significantly impacts ecosystems and resource management.
• Accurate land exploitation and structure data are vital for assessing environmental and societal influences.

Purpose of the Study:

• To propose a practical framework integrating remote sensing and modeling for land use/land cover change analysis.
• To enhance the detection and prediction of land transformation patterns.
• To provide insights for sustainable development planning amidst environmental shifts.

Main Methods:

• Utilizing remote sensing data for monitoring land cover and urban development.
• Employing change detection techniques to identify land transformation over time.
• Integrating modeling approaches with remote sensing for predictive analysis.

Main Results:

• Remote sensing is effective for monitoring urban growth and land transitions.
• Change identification methods are crucial for detecting land cover distinctions.
• A combined approach offers robust tracking and prediction capabilities.

Conclusions:

• Integrating remote sensing and modeling provides a comprehensive strategy for analyzing land use and land cover dynamics.
• This approach is essential for informed decision-making in environmental management and sustainable development.
• Future research should focus on refining these combined techniques for greater accuracy and broader application.