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The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)

The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS) by Zullyadini A. Rahaman

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Bibliographic Details
Main Author: Zullyadini A. Rahaman
Format: article
Language:English
Published: Tanjung Malim 2021
Subjects:
Q Science
Online Access:https://ir.upsi.edu.my/detailsg.php?det=8389
https://ir.upsi.edu.my/detailsg.php?det=8389
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id oai:ir.upsi.edu.my:8389
record_format eprints
spelling oai:ir.upsi.edu.my:83892022-11-08 https://ir.upsi.edu.my/detailsg.php?det=8389 The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS) Zullyadini A. Rahaman Q Science Tanjung Malim 2021 article text eng https://ir.upsi.edu.my/detailsg.php?det=8389 closedAccess The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS) by Zullyadini A. Rahaman
institution Universiti Pendidikan Sultan Idris
building UPSI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Pendidikan Sultan Idris
content_source UPSI Digital IR
url_provider https://ir.upsi.edu.my/
language English
topic Q Science
spellingShingle Q Science
Zullyadini A. Rahaman
The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
description The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS) by Zullyadini A. Rahaman
format article
author Zullyadini A. Rahaman
author_facet Zullyadini A. Rahaman
author_sort Zullyadini A. Rahaman
title The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
title_short The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
title_full The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
title_fullStr The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
title_full_unstemmed The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh (SCOPUS)
title_sort operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in rajshahi, bangladesh (scopus)
publisher Tanjung Malim
publishDate 2021
url https://ir.upsi.edu.my/detailsg.php?det=8389
https://ir.upsi.edu.my/detailsg.php?det=8389
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score 13.160551

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