dc.contributor.author |
Kundu, Sananda |
|
dc.contributor.author |
Khare, Deepak |
|
dc.contributor.author |
Mondal, Arun |
|
dc.contributor.author |
Mishra, P. K. |
|
dc.date.accessioned |
2020-02-14T06:15:58Z |
|
dc.date.available |
2020-02-14T06:15:58Z |
|
dc.date.issued |
2014 |
|
dc.identifier.citation |
M. Pant et al. (eds.), Proceedings of the Third International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 259, |
en_US |
dc.identifier.uri |
http://117.252.14.250:8080/jspui/handle/123456789/4096 |
|
dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.subject |
Crop identification |
en_US |
dc.subject |
NDVI |
en_US |
dc.subject |
Fuzzy C-Mean |
en_US |
dc.subject |
Narmada river basin |
en_US |
dc.title |
Crop Identification by Fuzzy C-Mean in Ravi Season Using Multi-Spectral Temporal Images |
en_US |
dc.type |
Other |
en_US |