Integrated index analysis for monitoring urban growth based on GIS and remote sensing data in Karbala province, Iraq

Remote sensing techniques and GIS were used in this study to monitor urban growth in Karbala Governorate, Iraq. A compiled database was created from available Multi-temporal Landsat (TM, ETM+ and OLI) data from 2000 to 2018. The near infrared (NIR), visible red (R), and short infrared (SWIR) wavelength areas covered by Landsat bands have been used to generate spectral indices known as the Normalized Difference Built-Up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Salinity Index (NDSI). Images of the Landsat 7 and 8 satellites that were free to download from the USGS website between the years of 2000 and 2018 were the data used in this study. The layers were classified and merged to reveal the dynamic changes of land cover in the study area. The result shows that the built-up area increased from 264.75 km2 in 2000 to 391.23 km2 in 2018, indicating an increase over 18 years, but over the same period, the amount of water decreased.

Authors

Institutions

Publication Details

Journal
Geodesy and Cartography
Published
2025-08-12
DOI
https://doi.org/10.3846/gac.2025.19884
Citations
1
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
1.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated index analysis for monitoring urban growth based on GIS and remote sensing data in Karbala province, Iraq

Israa Fadhil Ibraheem, Mufid Alhadithi, Nabaa Falih Naser
1 citations
Geodesy and Cartography
Remote-Sensing Image Classification
1.14
article

Integrated index analysis for monitoring urban growth based on GIS and remote sensing data in Karbala province, Iraq

Israa Fadhil Ibraheem, Mufid Alhadithi, Nabaa Falih Naser
article en
1 citations

Abstract

Remote sensing techniques and GIS were used in this study to monitor urban growth in Karbala Governorate, Iraq. A compiled database was created from available Multi-temporal Landsat (TM, ETM+ and OLI) data from 2000 to 2018. The near infrared (NIR), visible red (R), and short infrared (SWIR) wavelength areas covered by Landsat bands have been used to generate spectral indices known as the Normalized Difference Built-Up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Salinity Index (NDSI). Images of the Landsat 7 and 8 satellites that were free to download from the USGS website between the years of 2000 and 2018 were the data used in this study. The layers were classified and merged to reveal the dynamic changes of land cover in the study area. The result shows that the built-up area increased from 264.75 km2 in 2000 to 391.23 km2 in 2018, indicating an increase over 18 years, but over the same period, the amount of water decreased.

Geodesy and CartographyVol. 51(3)
Middle Technical University (IQ)
Sustainable cities and communities
Openalex Percentile: Top 17%
Remote-Sensing Image Classification
1.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.