Characterising Rice (Oryza indica) Ecology in East and Southern Eastern Plateau of Odisha using Multi Source Remote Sensing

Rani, M. Satya Swarupa and Biswal, Anima and Rath, B. S. (2021) Characterising Rice (Oryza indica) Ecology in East and Southern Eastern Plateau of Odisha using Multi Source Remote Sensing. International Journal of Plant & Soil Science, 33 (13). pp. 37-47. ISSN 2320-7035

[thumbnail of 1338-Article Text-2539-1-10-20221011.pdf] Text
1338-Article Text-2539-1-10-20221011.pdf - Published Version

Download (2MB)

Abstract

Rice is the most important crop of Odisha occupying 41.24% of net sown area in Kharif season and contributing 65.85 % of total food grain production of Odisha state and this is being cultivated in various types environmental and ecological condition. Assessment of rice phenology is prime for management and yield prediction. In view of characterizing rice ecology in East and South Eastern Plateau from 2008 – 2018 to know the time series analysis , remote sensing tools were used . MODIS can0 acquire data over a wide area with high spatial and temporal resolutions easily providing regional scale information .In order to study the seasonal /annual as well as spatial variability of kharif rice vigour and wetness spectral vegetation indices like NDVI(Normalised Difference Vegetation Index),LSWI(Land surface water index) derived from 15 day composite 250 m data were analysed at block level for Odisha state. For studying the start of season variability, SASI index was used. The season maximum NDVI, LSWI were computed for the year 2008-2018 for kharif rice in East and Southern eastern coastal plain zone of Odisha and graphs were generated which shows the variability of the kharif rice vigour and wetness.

Item Type: Article
Subjects: East India Archive > Agricultural and Food Science
Depositing User: Unnamed user with email support@eastindiaarchive.com
Date Deposited: 18 Jan 2023 12:50
Last Modified: 29 Jul 2024 09:52
URI: http://ebooks.keeplibrary.com/id/eprint/55

Actions (login required)

View Item
View Item