VEGETATION COVER MONITORING IN MOSUL CITY USING REMOTE SENSING TECHNIQUE

This study aims to identify changes in vegetation cover and its impact on the climate of Mosul City.The analytical method of the study relies on changes in Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST); GIS technology was used to measure these statistics.Landsat (5,8) imagery was used to detect the change in vegetation cover change and land surface temperature during the study period from 2010 to 2022, where the unsupervised classification technique was used to determine LU variations.The results revealed significant changes among the LU classes during the study period, primarily due to human activities.The most prominent change in LU was the urban expansion of agricultural land; continuously in all years, the vegetation cover area decreased from around 4076 km2 in 2010 to 1504 km2 in 2022, concentrated in the northeastern part of the city.This has led to negative effects on the climate, where temperature rates increased from (1-47 C0) in 2010 to (5.7-53 C0) in the last year of the study; the highest temperatures were recorded in urban growth areas and areas without vegetation.

Publication Details

Journal
MINAR International Journal of Applied Sciences and Technology
Published
2025-03-01
DOI
https://doi.org/10.47832/2717-8234.22.44
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VEGETATION COVER MONITORING IN MOSUL CITY USING REMOTE SENSING TECHNIQUE

MINAR International Journal of Applied Sciences and Technology
Remote Sensing in Agriculture
article

VEGETATION COVER MONITORING IN MOSUL CITY USING REMOTE SENSING TECHNIQUE

article en

Abstract

This study aims to identify changes in vegetation cover and its impact on the climate of Mosul City.The analytical method of the study relies on changes in Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST); GIS technology was used to measure these statistics.Landsat (5,8) imagery was used to detect the change in vegetation cover change and land surface temperature during the study period from 2010 to 2022, where the unsupervised classification technique was used to determine LU variations.The results revealed significant changes among the LU classes during the study period, primarily due to human activities.The most prominent change in LU was the urban expansion of agricultural land; continuously in all years, the vegetation cover area decreased from around 4076 km2 in 2010 to 1504 km2 in 2022, concentrated in the northeastern part of the city.This has led to negative effects on the climate, where temperature rates increased from (1-47 C0) in 2010 to (5.7-53 C0) in the last year of the study; the highest temperatures were recorded in urban growth areas and areas without vegetation.

MINAR International Journal of Applied Sciences and TechnologyVol. 07(01)
Sustainable cities and communities
Openalex Percentile: Top 78%
Remote Sensing in Agriculture
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.

VEGETATION COVER MONITORING IN MOSUL CITY USING REMOTE SENSING TECHNIQUE · MINAR International Journal of Applied Sciences and Technology (2025) | TGRS Research Map | TGRS