Mishra et al. (2025) Integrating Remote Sensing and GIS for Irrigated Area Mapping in the Betwa River Basin, India

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Identification

• Journal: Journal of Scientific Research and Reports
• Year: 2025
• Date: 2025-10-18
• Authors: Vipin Kumar Mishra, M. K. Awasthi, Love Kumar, Satish Kumar Sharma
• DOI: 10.9734/jsrr/2025/v31i103615

Research Groups

Not explicitly stated in the provided text.

Short Summary

This study mapped irrigated areas in the Betwa River Basin using MODIS Terra NDVI time-series data for the 2020–2021 agricultural year, identifying approximately 12,800 km² of irrigated land with distinct spatial patterns and achieving 86% classification accuracy.

Objective

• To accurately map irrigated areas in the Betwa River Basin using MODIS Terra surface reflectance data to support sustainable water resource management and agricultural planning.

Study Configuration

• Spatial Scale: Betwa River Basin (43,469 km²). NDVI data resolution: 250 m.
• Temporal Scale: 2020–2021 agricultural year.

Methodology and Data

• Models used: Unsupervised classification (ISODATA with ISOCLASS clustering) refined with ground-truth data. Maximum Value Composite (MVC) approach for NDVI time-series generation.
• Data sources: MODIS Terra surface reflectance (MOD09Q1) data, ground-truth GPS points, high-resolution imagery.

Main Results

• A 46-layer NDVI time-series dataset was generated from 45 NDVI composites.
• Nine land use/land cover classes were differentiated, including various irrigation regimes and rainfed agriculture.
• Distinct NDVI phenological signatures were observed: double-cropped irrigated systems showed two peaks (July–August and February–March), while rainfed croplands exhibited a single monsoon peak (approximately 0.55).
• The classification achieved an overall accuracy of 86% with a kappa coefficient of 0.82.
• Approximately 12,800 km² (1.28 million hectares) were identified as irrigated.
• Spatial heterogeneity of irrigation was observed, reflecting canal-fed systems in northern plains, groundwater-dependent irrigation in southern uplands, and minor/tank irrigation in plateau margins.

Contributions

• Demonstrates a cost-effective and scalable approach for basin-scale irrigation mapping using MODIS NDVI time-series data.
• Provides valuable data for agricultural planning, water allocation, and sustainable water resource management in semi-arid regions.

Funding

Not explicitly stated in the provided text.

Citation

@article{Mishra2025Integrating,
  author = {Mishra, Vipin Kumar and Awasthi, M. K. and Kumar, Love and Sharma, Satish Kumar},
  title = {Integrating Remote Sensing and GIS for Irrigated Area Mapping in the Betwa River Basin, India},
  journal = {Journal of Scientific Research and Reports},
  year = {2025},
  doi = {10.9734/jsrr/2025/v31i103615},
  url = {https://doi.org/10.9734/jsrr/2025/v31i103615}
}