Analyzing Land Use and Land Cover Changes using Geospatial Techniques, A Review

Author: Jaskaran Singh Sohal and Arun Kaushal

Download PDF

Abstract

Land use and land cover (LULC) changes are crucial indicators of environmental transformation and development. This study comprehensively reviews research studies that have employed geospatial techniques to analyse LULC changes in various regions. Research papers spanning different geographical locations and time periods are summarized, highlighting their methodologies, findings, and implications. These studies employ remote sensing imagery, GPS and GIS techniques to assess LULC changes, examining urban expansion, agricultural shifts, deforestation, wetland alterations, and other transformations over time. The studies emphasize the importance of accurate classification techniques, demonstrating how different algorithms yield varying results in land cover mapping. The studies also deals in into classification techniques for LULC change detection, comparing methods such as maximum likelihood classification, support vector machines, artificial neural networks, and pixel-based approaches. These investigations underline the significance of algorithm selection and optimization for achieving accurate classification results. Moreover, the study highlights the need for effective spatial analysis and ground truth verification to enhance classification accuracy. Monitoring land use and land cover changes in a timely manner is of utmost significance. This enables the implementation of appropriate control strategies aimed at safeguarding the environment and preserving our natural resources. The study was facing with great challenge’s due to lack of relevant work.

Keywords

Land use and land cover, Remote sensing, Change analysis & Geographic information system

Conclusion

This research study was conducted to review for demonstrating the power of geospatial techniques in analysing LULC changes. They reveal how different regions undergo varying degrees of transformation due to natural, human, and socioeconomic factors. The studies emphasize the importance of monitoring LULC changes to inform sustainable land use planning and conservation efforts. While advancements in remote sensing, GIS, and machine learning have provided valuable tools, challenges such as multi-source data integration and scalability remain areas for future exploration in the field of land cover classification and change detection. This introductory overview provides a glimpse into the diverse range of research efforts focused on analysing land use and land cover changes using geospatial techniques. From assessing shifts in agricultural practices and urban expansion to examining the effects of natural processes, these studies are crucial in advancing our understanding of how the Earth's surface evolves over time.

References

-

How to cite this article

Jaskaran Singh Sohal and Arun Kaushal (2023). Analyzing Land Use and Land Cover Changes using Geospatial Techniques, A Review. Biological Forum – An International Journal, 15(10): 164-168.