Using Sentinel 1A (SAR) and Sentinel 2 Data for Assessing Water Spread Dynamics and Crop Diversification in Lower Palar Sub Basin, Tamil Nadu, India

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dc.contributor.authorPazhanivelan, Sen_US
dc.contributor.authorVairavamani, Men_US
dc.contributor.authorRagunath, Ken_US
dc.contributor.authorKumaraperumal, Ren_US
dc.contributor.authorSudarmanian, NSen_US
dc.contributor.authorManikandan, Sen_US
dc.contributor.authorSatheesh, S.en_US
dc.date.accessioned2025-06-18T11:44:12Z
dc.date.available2025-06-18T11:44:12Z
dc.date.issued2025-02
dc.description.abstractSentinel-1A Synthetic Aperture Radar (SAR) satellite is highly beneficial for continuously monitoring the evaluating changes in agricultural areas and water spread area assessment. Having reliable information about water availability is crucial for effective regional planning. By analyzing water spread dynamics using SAR satellite data at the tank level, farmers can access more accurate and timely information, aiding in crop planning locally and regionally and improving water management practices. Utilizing SAR satellite data to track water spread is essential for addressing these challenges and enhancing agricultural productivity. This approach allows stakeholders to make better decisions about water resource allocation, promoting sustainable agriculture and water conservation. This study focused on the water spread area in Lower Palar tanks by analyzing multi-temporal Sentinel-1A SAR data, linking it to rainfall and cropping pattern changes in and around the command areas. The years 2020-2023 showed increased water spread compared to 2018-2019, suggesting improved rainfall distribution and potential for year-round cropping using Northeast monsoon rainfall for subsequent seasons. The study applied Random Forest machine learning for crop classification across seasons using Sentinel-2 optical datasets, leveraging the algorithm's accuracy and efficient handling of large datasets to understand how water availability affects crop diversification in the Lower Palar Sub-Basin. The crop diversification confirmed through diversity index. The SID value of 0.59 was obtained in the Summer 2018, due to the even distribution of (n) number of crops like paddy, groundnut, sugarcane and watermelon. The lowest SID value (0.21) was observed in Rabi 2021 due to higher water spread and the adoption of mono cropping in larger areas.en_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsRDWMD, National Remote Sensing Centre, ISRO, Hyderabad, Telangana, Indiaen_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, India.en_US
dc.identifier.citationPazhanivelan S, Vairavamani M, Ragunath K, Kumaraperumal R, Sudarmanian NS, Manikandan S, Satheesh S.. Using Sentinel 1A (SAR) and Sentinel 2 Data for Assessing Water Spread Dynamics and Crop Diversification in Lower Palar Sub Basin, Tamil Nadu, India . International Journal of Environment and Climate Change. 2025 Feb; 15(2): 384-406en_US
dc.identifier.issn2581-8627
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/249611
dc.languageenen_US
dc.publisherMs. M. B. Mondal, Ph.D.en_US
dc.relation.issuenumber2en_US
dc.relation.volume15en_US
dc.source.urihttps://doi.org/10.9734/ijecc/2025/v15i24735en_US
dc.subjectCommand areasen_US
dc.subjectcrop diversificationen_US
dc.subjectsimpson index of diversityen_US
dc.subjectsentinel 1Aen_US
dc.subjecttank water spreaden_US
dc.subjectrandom forest classificationen_US
dc.titleUsing Sentinel 1A (SAR) and Sentinel 2 Data for Assessing Water Spread Dynamics and Crop Diversification in Lower Palar Sub Basin, Tamil Nadu, Indiaen_US
dc.typeJournal Articleen_US
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