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VOL. 13, ISSUE 1 (2026)
Geospatial techniques for crop mapping and monitoring: A remote sensing perspective
Authors
Mukesh Kumari, Babita
Abstract
This review paper examines the application of
remote sensing techniques for crop area estimation and monitoring with special
emphasis on rice cultivation. The study compiles research results from multiple
national and international studies that used multi-temporal satellite imagery,
such as Landsat, MODIS, and IRS datasets, and GIS-based analytical techniques.
A wide range of classification techniques, including supervised classification,
unsupervised classification (ISODATA), object-based image analysis (OBIA), and
spectral index analysis like NDVI and NDSI, have been widely used in crop
mapping and land use/land cover change detection. Previous studies have
demonstrated that, in addition to attaining high accuracy in crop
identification and acreage estimation, satellite-based techniques can offer
significant insights into crop phenology, stress conditions, and spatial
distribution patterns. The investigation emphasises planning.
Additionally, remote sensing methods offer an effective framework for identifying
shifts in cropping patterns and evaluating the effects of paddy cultivation on
the environment, including greenhouse gas emissions. Overall, the study
highlights the significance of geospatial technologies in contemporary
agricultural monitoring systems and offers a thorough overview of techniques
and applications for estimating crop area, especially in agricultural
landscapes like Haryana that are dominated by rice.
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Pages:584-586
How to cite this article:
Mukesh Kumari, Babita "Geospatial techniques for crop mapping and monitoring: A remote sensing perspective". International Journal of Multidisciplinary Research and Development, Vol 13, Issue 1, 2026, Pages 584-586
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