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Modelling LULC

Authors: Hadi, Sinan Jasim; Shafri, Helmi Z. M.; Mahir, Mustafa D.;

Modelling LULC

Abstract

This study extends upon the results of [1] to include the modeling of Land use/Land cover (LULC). This study looks at the changes that occurred from 2010 to 2030 in Tikrit district, Iraq by predicting LULC for the year target 2030 by using the classified images for two points of time (2000 - 2010) as a foundation for the modeling process. The projected map, in comparison with 2010 LULC map, shows a significant decrease in vegetation area (45.11 km2) which must be regulated in order to maintain a green environment, and increase in the urban area (58.42 km2) which should be monitored to have sustainable development and control the eco-environment degradation. Also, in this study, it is shown clearly that the use of Geographic Information System (GIS) and remote sensing (specially IDRISI software) in modeling LULC is a suitable approach to understand the future pattern.

Institut Geospatial & Remote Sensing Malaysia, Univ Putra Malaysia, Sci & Technol Res Inst Defence, ANGKASA, Univ Malaya, UTAR, MARIM, Univ Teknologe Mara, NAHRIM, Univ Teknologe Petronas

7th IGRSM International Remote Sensing and GIS Conference and Exhibition -- APR 21-23, 2014 -- Kuala Lumpur, MALAYSIA

WOS: 000346761600053

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Turkey
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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