Mapping Paddy Rice Planting Area of Koppal District and Neighbouring Regions of Karnataka using Phenology-Based Algorithm with Landsat 8 Images

Volume 4 Issue 2 April - June 2017

Research Paper

Mapping Paddy Rice Planting Area of Koppal District and Neighbouring Regions of Karnataka using Phenology-Based Algorithm with Landsat 8 Images

Rolitta V Babu*, Gnanapazham**

* Research Scholar, Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Trivandrum, India.

** Associate Professor, Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Trivandrum, India.

Babu, R.V. and Gnanapazham L. (2017). Mapping paddy rice planting area of Koppal district and neighbouring regions of Karnataka using phenology-based algorithm with Landsat 8 Images. i-manager’s Journal on Image Processing, 4(2), 22-28.https://doi.org/10.26634/jip.4.2.13750

Abstract

Rice is the staple food for major population of India. Area and spatial distribution information of paddy rice are important for understanding of food security, water use, greenhouse gas emission, and disease transmission. Due to urbanization and drought during various times, rice cultivation is negatively affected in Karnataka. An algorithm based of paddy phenology is used to identify paddy fields and map the same. Landsat 8 data with high temporal resolution and geographic coverage is used for mapping. Envi along with idl 8.3 is used for data processing. The resultant paddy rice map well supports the statistical data. The resultant paddy rice map is expected to provide unprecedented details about the area and spatial distribution of paddy rice fields in Koppal, which will contribute to food security assessment, water resource management, estimation of greenhouse gas emissions, and disease control if this work is extended towards more scenes in a sub continental level.