Deepika Uppala, et. al. International Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 11, Issue 5, (Series-V) May 2021, pp. 43-45 www.ijera.com DOI: 10.9790/9622-1105054345 43 | Page Crop Discrimination Using Post Rainy Season Multispectral Data From LISS III And LISS IV In Two Coastal Districts Of Andhra Pradesh, India Deepika Uppala a , Ramana Kothapalli Venkata a , Vidyavathi Somepalli b a. National Remote Sensing Centre (NRSC), ISRO, b. JNTU, Hyderabad, ABSTRACT: Monitoring of agricultural areas has high importance in the context of global challenges such as population growth, increasing food demand and climate change. Ever increasing population demands more food supplies. Acreage estimation using traditional methods has its challenges and problems. Remote sensing based acreage estimation is proven to be more economical and accurate. Cloud patches cover the ground during rainy season reducing the visibility of land cover from an optical remote sensing platform. Post rainy season imagery have least cloud cover and can be used before harvest to estimate area under each crop with large extents, especially in the deltaic regions. Resourcesat-2 satellite imagery acquired by its two sensors LISS III (23.5m) and LISS IV (5.8m) were used to identify and map the rice and maize crops selected part of west Godavari and Guntur districts in Andhra Pradesh. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 12-05-2021 Date of Acceptance: 25-05-2021 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION: Rice is grown in different agro-ecoregions with highly adapted varieties in each ecoregion feeding millions. 14 states grow rice as major crop in India during the kharif and rabi seasons. Kharif season rice accounts for more than 80%. It is grown in diverse soil and climatic conditions. In northeast region, which comprises of eight states. Assam grows rice in large area in Brahmaputra basin. Rice crop intensity is the highest in Mahanadi and Ganga basins. Rice is one of the pre-eminent crops in India. Mostly the paddy crop grows in warm and humid environments. Rice also grows in rainfed areas that receive very good rainfall. Rice is grown in well irrigated conditions. Where there are dams, reservoirs, canals and tanks along with groundwater sources such as bore wells and open wells. Rice is usually grown in heavier soils that have high water holding capacity. Maize has many cultivators with different maturity periods and tolerance levels to environmental conditions. Maize can be grown on a wide variety of soils. But well drained, deep silt loamy soil with adequate organic matter is the most suitable. (Perera et al. 2014). Access to timely and reliable data on crop distribution and its condition assumes importance for enabling decision makers to make informed decisions with respect to imports, exports and buffer stocks. Remote sensing technology provides temporal coverage and accurate information about these major crops. II. METHODOLOGY: 2.1 Study area and Data: The study area in west Godavari district measures 432km 2 located between 16 0 25’ 49’’ to 16 0 45’ 49’’ N and from 80 0 37’ 36’’ to 81 0 55’ 60’’ E. The study area in Guntur district of Andhra Pradesh, India is located at 16  13  1742   80  42 ' 35.57 '' E covering an area of 835 km 2 . Guntur district covering 11,391 km 2 is situated on the right bank of river Krishna. In this region, maize is the major crop during rabi. It is sown during last week of December or first week of January and harvested in last week of March or first week of April. Apart from maize, pulses such as green gram and black gram were also grown. However, these crops were harvested by the time the data was acquired. The Resourcesat-2 satellite was launched on 20 April 2011 by Indian Space Research Organization (ISRO). It carries three sensors. LISS- III, IV and Advanced Wide Field Sensor (AWiFS) with resolution of 23.5, 5.8 and 56 m respectively. LISS-III sensor images the earth in four spectral bands, Green (0.52-0.59 μm), Red (0.62-0.68 μm), Near Infrared (0.77-0.86 μm) and Short wave Infrared (1.55-1.70 μm) (Dave et al. 2006; Pandya RESEARCH ARTICLE OPEN ACCESS