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Progressive Horticulture
Year : 2023, Volume : 55, Issue : 2
First page : ( 127) Last page : ( 133)
Print ISSN : 0970-3020. Online ISSN : 2249-5258.
Article DOI : 10.5958/2249-5258.2023.00019.2

Development of standard protocols for assessment of cropped area using Sentinel 2 MSI (Spatial Resolution: 10 m) in mango

Balakrishna B.*, Harshitha S. N., Sankaran M., Rupa T. R., Verma Neeraj

Division of Social Sciences and Training, ICAR-IIHR, Hessaraghatta Lake Post, Bengaluru-560089, Karnataka

*E-mail: balakrishna.b@icar.gov.in

Online Published on 19 March, 2024.

Abstract

Mango is one of the geographically and socio-economically most important commercial fruit crop of India. Our country ranks first among world’s mango producing countries accounting for about 50% of the production. The study was undertaken to develop the standard protocols for quick and accurate estimation of crop acreage in mango in Kolar, which is one of the leading Mango producing district in Karnataka. A stratified sampling method of survey was conducted in the study area to collect ground truth points for mango areas. A total of 500 points consisting of mango orchards areas were collected from four blocks of Kolar district during the year 2021, which includes latitude and longitude of the place, age of orchard, area in acre, planter information. This ground truth data has been incorporated for mapping of mango area in Kolar districts using satellite data sentinel 2 provided by copernicus free access Hub ESA. The spatial resolution of this data is 10 m, followed by signature generation, image classification, field check, village wise mango area, which are overlaid on classified map to extract mango acreage. Technical model or the indices used for cropped area estimation are LULC maps and NDVI studies. Projected area of the mango orchards was 47816.0 Ha as estimated by Karnataka State Department of Horticulture. According to analysis of the study, using remote sensing methods, estimated area of the mango orchards is 42057.75 Ha. Since the accuracy of the outcome was more than 90%, this methodology will be a model for crop acreage estimation of entire mango growing regions. Hence, the methodology is very useful for multiple stakeholders of the mango industry for multiple purpose from planning scientific crop management to estimate of yield and planning for effective marketing strategy and protocol can be replicated in other mango growing areas with primary survey data.

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Keywords

Crop acreage estimation, Ground-truth, Mango orchard, Remote sensing, Sentinel-2.

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