ISSN: 2349-5162 | Impact Factor: 5.87

JETIREXPLORE- Search Thousands of research papers

Published in:

Volume 4 Issue 11
eISSN: 2349-5162

Unique Identifier


Page Number


Share This Article

Jetir RMS

Indexing Partner


Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM

Download Paper


Nanded have rapid development in every aspect. By using satellite images and application of remote sensing and GIS for land use and land cover change detection were used. For the analysis, ETM+, LISS3 and Landsat 8 images acquired from official websites Bhuvan and USGS. The main challenge in land use and land cover changes using the remote sensing data which how to provide the accurate and geospatial information. Traditionally pixel based classification was used by researchers but to get more accuracy we have implemented object based approach and machine learning algorithms for accuracy enhancement.

Key Words

Cite This Article

"Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM", International Journal of Emerging Technologies and Innovative Research ( | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp35-37, November-2017, Available at : &

Publication Details

Published Paper ID: JETIR1711008
Registration ID: 170827
Published In: Volume 4 | Issue 11 | Year November-2017
DOI (Digital Object Identifier):
Page No: 35-37
ISSN Number: 2349-5162

Download Paper

UGC and ISSN Approved Journal | Call For Paper
(Volume 5 | Issue 1 | January 2018 |Impact factor 5.87)

Call For Paper | Volume 5 | Issue 1 | Impact factor 5.87

Important Dates Related to Publication Procedure:
  • » Paper Submission Till: 29 January 2018.
  • » UGC and ISSN Approved Journal
  • » Review (Acceptance/Rejection) Notification: Within 02-04 Days.
  • » Paper Publish:Within 02-07 Days after submitting the all documents.
  • » Frequency: Monthly (12 issue Annually)
  • » Journal Type : Open Access
  • » Publication Charges : 1300 INR
  • »Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager,,, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more | High Impact Factor: 5.87 Digital object identifier (DOI) and Hard Copy of certificate Provided.
Publication and Indexing Patner:

Preview This Article


Download PDF



Print This Page

Impact Factor

Impact factor: 5.87

Jetir RMS