Alhat et al. (2025) Evaluating Land Use and Land Cover Transformation Through Remote Sensing: A Study of the Purandar Lift Irrigation Area

Identification

• Journal: International Journal For Multidisciplinary Research
• Year: 2025
• Date: 2025-11-06
• Authors: Akshata Alhat, Sampat Jagdale, Amol Bibe
• DOI: 10.36948/ijfmr.2025.v07i06.59755

Research Groups

• Prof Ramkrishna More Arts, Commerce and Science Akurdi, Pune

Short Summary

This study evaluates land use and land cover (LULC) transformations in the Purandar Lift Irrigation Area between 2005 and 2023 to assess the impact of the irrigation scheme. The analysis revealed significant increases in agricultural land, built-up areas, vegetation, and water bodies, coupled with a substantial decrease in barren land, indicating the project's success in improving water availability and promoting productive land use.

Objective

• To detect and analyze changes in land use and land cover (LULC) in the Purandar Lift Irrigation Area from 2005 to 2023 to understand the effects of the irrigation project over time.

Study Configuration

• Spatial Scale: The Purandar Lift Irrigation Area, located in the eastern part of Pune District, Maharashtra, India, between 18.00° to 18.30° N latitude and 74.00° to 74.30° E longitude, covering four talukas: Purandar, Haveli, Daund, and Baramati.
• Temporal Scale: An 18-year period from 2005 to 2023.

Methodology and Data

• Models used:
  • Supervised classification using the Maximum Likelihood Classification (MLC) algorithm.
  • Confusion matrix and Kappa coefficient for accuracy assessment.
  • Cross-tabulation (transition) matrix for spatio-temporal LULC change detection.
• Data sources:
  • Satellite imagery: Landsat 7 Enhanced Thematic Mapper (ETM+) for 2005 and Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) for 2023, both with a spatial resolution of 30 meters, acquired from the United States Geological Survey (USGS).
  • Ancillary data: High-resolution Google Earth imagery and field observations for training sample creation and ground truth points.

Main Results

• Overall LULC Transformation (2005-2023):
  • Agricultural land increased from 51.45% to 55.69%, a net gain of 32.81 square kilometers (8.22%).
  • Built-up area increased from 11.95% to 14.07%, a net gain of 16.47 square kilometers (17.76%).
  • Vegetation increased from 2.30% to 4.03%, a net gain of 13.44 square kilometers (75.10%).
  • Water bodies increased from 0.71% to 1.12%, a net gain of 3.20 square kilometers (57.75%).
  • Barren land decreased significantly from 33.57% to 25.06%, a net loss of 66.23 square kilometers (25.42%).
• Classification Accuracy: Kappa coefficients of 0.90 for 2005 and 0.89 for 2023, indicating substantial to almost perfect agreement.
• Key Transitions: A major portion of barren land was converted into agricultural and built-up areas, and agricultural land also saw conversion to built-up areas and barren land, despite a net increase in agriculture.

Contributions

• Provides a comprehensive spatio-temporal analysis of land use and land cover changes over an 18-year period (2005-2023) specifically within the Purandar Lift Irrigation Area.
• Quantifies the positive impacts of the Purandar Lift Irrigation Scheme on regional land use, demonstrating increased agricultural productivity, urban development, and environmental restoration (vegetation and water bodies).
• Offers valuable insights for local water resource planning, management, and sustainable land-use policies in semi-arid regions affected by irrigation projects.

Funding

Not explicitly mentioned in the paper.

Citation

@article{Alhat2025Evaluating,
  author = {Alhat, Akshata and Jagdale, Sampat and Bibe, Amol},
  title = {Evaluating Land Use and Land Cover Transformation Through Remote Sensing: A Study of the Purandar Lift Irrigation Area},
  journal = {International Journal For Multidisciplinary Research},
  year = {2025},
  doi = {10.36948/ijfmr.2025.v07i06.59755},
  url = {https://doi.org/10.36948/ijfmr.2025.v07i06.59755}
}