Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18646
Title: Crop identification by fuzzy C-mean in ravi season using multi-spectral temporal images
Authors: Kundu S.
Khare D.
Mondal A.
Mishra P.K.
Deep K.
Nagar A.
Pant M.
Bansal J.C.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Abstract Information regarding spatial distribution of different crops in a region of multi-cropping system is required for management and planning. In the present study, multi dated LISS-III and AWiFS data were used for crop identification. The cultivable land area extracted from the landuse classification of LISS-III image was used to generate spectral-temporal profile of crops according to their growth stages with Normalised Difference Vegetation Index (NDVI) method. The reflectance from the crops on 9 different dates identified separate spectral behavior. This combined NDVI image was then classified by Fuzzy C-Mean (FCM) method again to get 5 crop types for around 12,000 km2 area on Narmada river basin of Madhya Pradesh. The accuracy assessment of the classification showed overall accuracy of 88% and overall Kappa of 0.83. The crop identification was done for one entire Ravi season from 23 October 2011 to 10 March 2012. © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 391- 401
URI: https://doi.org/10.1007/978-81-322-1768-8_35
http://repository.iitr.ac.in/handle/123456789/18646
Issue Date: 2014
Publisher: Springer Verlag
Keywords: Crop identification
Fuzzy C-Mean
Narmada river basin
NDVI
ISBN: 9790000000000
ISSN: 21945357
Author Scopus IDs: 56185410500
14060295600
56185631400
57201865282
Author Affiliations: Kundu, S., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, India
Khare, D., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, India
Mondal, A., Department of Water Resources Development and Management, Indian Institute of Technology, Roorkee, India
Mishra, P.K., Water Resources Systems Division National Institute of Hydrology, Roorkee, India
Corresponding Author: Kundu, S.; Department of Water Resources Development and Management, Indian Institute of TechnologyIndia; email: sanandakundu@gmail.com
Appears in Collections:Conference Publications [WR]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.