Acreage estimation of kharif rice crop using Sentinel-1 temporal SAR data
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Acreage estimation of kharif rice crop using Sentinel-1 temporal SAR data Nandepu V. V. S. S. Teja Subbarao1 • Jugal Kishore Mani2 • Ashish Shrivastava2 K. Srinivas1 • A. O. Varghese2
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Received: 2 July 2020 / Revised: 10 November 2020 / Accepted: 11 November 2020 Ó Korean Spatial Information Society 2020
Abstract Rice is one of the most important food crop in India covering about one-fourth of the total cropped area. India is the second largest producer and consumer of rice and accounts for 21% of the world’s total rice production. Rice is fundamentally a kharif season crop and grown in mainly rainfed areas. Recently there is a considerable increase in production, area and yield of rice crop in India. Temporal monitoring of crop area under cultivation is essential for the sustainable management of agricultural activities on both national and global levels. The present study is envisaged to estimate area under kharif rice using multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data with dual polarization (VH and VV) in Bhandara district of Maharashtra. The geographical area of Bhandara district is 4087 square kilometres and lies in between 20°640 030 ’ to 21°600 180 ’ N latitude and 79°440 930 ’ to 80°080 700 ’ E longitude. The rice area is extracted using Random Forest (RF) classification techniques available in SNAP tool and validated using the ground observation collected from the field. An area of 1760 square kilometres was found under kharif rice out of 4087 square kilometres area of entire Bhandara district. The rice is predominant crop and covered around 43% of the total geographical area of Bhandara district during kharif season. The user accuracy (omission error), producer accuracy (commission
& Nandepu V. V. S. S. Teja Subbarao [email protected] 1
School of Spatial Information Technology, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh 533003, India
2
Regional Remote Sensing Centre-Central, National Remote Sensing Centre, Indian Space Research Organisation, Amravati Road, Nagpur, Maharashtra 440033, India
error) for rice crop, overall accuracy and Kappa coefficients were 82.7, 90.0, 91% and 0.80, respectively. The study found that SAR data can be successfully used for acreage estimation with RF classifier. Keywords Rice Sentinel-1 SAR data RF classifier and Bhandara district
1 Introduction Rice (Oryza sativa L.) is the most important human consume food crop in the world and it is cultivated in a wide range of locations under various climatic conditions, from the wettest areas in the world to the driest deserts. Rice occupies an extraordinarily high portion of the total cropped area in South, South-East and East Asia. Paddy growing areas are subjected to an alternating wet and dry seasonal cycle and also contains many of world major rivers for irrigation. Rice is one of the chief grains and staple food in most of the eastern & southern parts of India [1]. About one-fourth of the total India’s cropped area is under rice crop cultivation. Rice is cultivated in b
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