UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIRDZ06031


Registration ID:
233467

Page Number

224-228

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Title

Identification and prediction of land status using Satellite images

Abstract

Abstract: - The government is unable to estimate socio- economic status of a remote area and also they are unable to help them. Because government only has their satellite image as a record and they can only see that area through map but through this image they cannot get status about that area. So, considering this satellite image of an area, there is a profound need to detect status of the remote area. In this survey paper, we have three major tasks to design our project. First of all, we have to find datasets related to satellite image and then designing of user-friendly desktop application and another task is to authenticate the user and pre-process the input satelliteimage.

Key Words

Keywords: PyQT, NumPy, OpenCV, Satellite Image, LandSat 7, Google Earth, MySQL

Cite This Article

"Identification and prediction of land status using Satellite images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.224-228, December 2018, Available :http://www.jetir.org/papers/JETIRDZ06031.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Identification and prediction of land status using Satellite images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp224-228, December 2018, Available at : http://www.jetir.org/papers/JETIRDZ06031.pdf

Publication Details

Published Paper ID: JETIRDZ06031
Registration ID: 233467
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 224-228
Country: -, -, - .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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