Rice Acreage Estimation in Thanjavur, Tamil Nadu Using  Lands at 8 OLIIMAGES and GIS Techniques

Ajith, K.; Geethalakshmi, V.; Ragunath, K.P.; Pazhanivelan, S.; Panneerselvam, S.

doi:10.20546/ijcmas.2017.607.275

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The Cauvery River has been considered a very efficient irrigation system (Swamy, 1988). The districts of Nagapattinam, Thanjavur, Thiruvarur and Trichy, known as ‘the granary of South India’, have 47% of their irrigation supplied by the river, covering ~0.56 million ha (Bhuvaneshwari, 2013; Ajith et al ., 2017). Kumbakonam of the Thanjavur Delta, Tamil Nadu, occupies a considerable part of ‘the rice bowl of Tamil Nadu’ (Punithavathi et al ., 2012; Rathika, 2016).…”

Section: Study Backgroundmentioning

confidence: 99%

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*

Hari

Tyagi

Huddar

et al. 2020

Irrigation and Drainage

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Improved regular and rapid monitoring techniques are needed to quantify evapotranspiration (ET) precisely on agricultural fields to enhance the efficient usage of water resources and protect water quality and the environment. This study proposes estimating and mapping ET using a vegetation index coupled with a crop coefficient estimation method over the famous rice bowl region of Tamil Nadu, India. The study utilized a very high‐resolution satellite—Sentinel—of resolution 10 m. The study is based on a crop coefficient—Normalized Difference Vegetation Index (NDVI)—based ET estimation, which is one of the most adaptable practical approaches in quantifying crop water usage in multiple phases of crop growth on a regional scale. The results have been further calibrated using the surface energy‐based Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model to assess estimation correctness. The estimations analysed for the 2016–2019 kharif cropping season show good overall correlation with the coefficient of determination (R2) of ≥0.72, with mean bias error (MBE) of ≤0.0009 mm day−1 and root mean square error (RMSE) of ≤0.67 mm day−1, indicating a positive assessment of ET for the delta region of Tamil Nadu for reaching vindicable intendance of crop water in this region.

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Section: Study Backgroundmentioning

confidence: 99%

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*

Hari

Tyagi

Huddar

et al. 2020

Irrigation and Drainage

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“…Iterative self-organizing (ISO) cluster unsupervised classification with the WorldView-2 multispectral orthography images was used to categorize the croplands in Adi Zaboy watershed, referenced the ground-truth data, and then its accuracy was evaluated by the field survey data at 101 points in croplands. The unsupervised classification using the ISO data analysis technique method is a mechanical classification method, which creates pixel clusters based on the homogeneity and distance of the spectral values [32]. The ISO cluster unsupervised classification is widely used as the tool to categorize cropland [33].…”

Section: Satellite Image Processingmentioning

confidence: 99%

Impact of Differences in Land Management on Natural Vegetation in Semi-Dry Areas: The Case Study of the Adi Zaboy Watershed in the Kilite Awlaelo District, Eastern Tigray Region, Ethiopia

et al. 2018

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The search for a sustainable land management has become a universal issue. It is especially necessary to discuss sustainable land management and to secure a site with enough feed supply to improve the lives of the farmers in the Ethiopian Highlands. This research studied the Adi Zaboy watershed in Tigray in order to reveal the changes in land management, assess how the different forms of land management affected the vegetation through unsupervised classification and normalized difference vegetation index (NDVI) analysis with geographic information system (GIS) 10.5 using a WorldView-2 satellite image taken in September 2016 and field investigation, and consider how to allow both environmental preservation and sustainable use of feed resources. The land management types at the research site were classified as "seasonally-closed grazing land", "prohibited grazing and protected forest land", and "free grazing land". On comparing the NDVI of each type of land management, it was found that the seasonally-closed grazing land makes it highly possible to secure and supply feed resources by limiting the grazing period. The expansion of the prohibited grazing and protected forest land is likely to tighten the restriction on the use of resources. Therefore, sustainable land management to secure feed resources may be possible by securing and actively using seasonally-closed grazing land, securing feed by a cut-and-carry, and using satellite images and GIS.

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Assessment of various bias correction methods and future projection of minimum and maximum temperatures using regional climate model over Thanjavur district

Sundaram

Radhakrishnan

2022

Arab J Geosci

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Rice Acreage Estimation in Thanjavur, Tamil Nadu Using Lands at 8 OLIIMAGES and GIS Techniques

Cited by 5 publications

References 7 publications

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*

Impact of Differences in Land Management on Natural Vegetation in Semi-Dry Areas: The Case Study of the Adi Zaboy Watershed in the Kilite Awlaelo District, Eastern Tigray Region, Ethiopia

Assessment of various bias correction methods and future projection of minimum and maximum temperatures using regional climate model over Thanjavur district

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Rice Acreage Estimation in Thanjavur, Tamil Nadu Using Lands at 8 OLIIMAGES and GIS Techniques

Cited by 5 publications

References 7 publications

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare*

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare*

Impact of Differences in Land Management on Natural Vegetation in Semi-Dry Areas: The Case Study of the Adi Zaboy Watershed in the Kilite Awlaelo District, Eastern Tigray Region, Ethiopia

Assessment of various bias correction methods and future projection of minimum and maximum temperatures using regional climate model over Thanjavur district

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Product

Resources

About

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*

Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare^*