Assessment of vegetation cover changes and the contributing factors in the Al-Ahsa Oasis using Normalized Difference Vegetation Index (NDVI)

被引:9
作者
Chouari, Walid [1 ,2 ]
机构
[1] King Faisal Univ, Coll Arts, Dept Geog, Al Hasa 31982, Saudi Arabia
[2] Univ Sfax, Fac Arts & Humanities Sfax, Lab Syfacte, Sfax 11683000, Tunisia
关键词
Normalized Difference; Vegetation Index; (NDVI); Vegetation cover; Ecological; environment; Land use and land; cover (LULC); Urban; expansion; Al-Ahsa Oasis; RAPID URBANIZATION; ENVIRONMENT; IRRIGATION; SALINITY; DYNAMICS; IMPACTS; IMAGERY; SOIL;
D O I
10.1016/j.regsus.2024.03.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The abandonment of date palm grove of the former Al-Ahsa Oasis in the eastern region of Saudi Arabia has resulted in the conversion of delicate agricultural area into urban area. The current state of the oasis is influenced by both expansion and degradation factors. Therefore, it is important to study the spatiotemporal variation of vegetation cover for the sustainable management of oasis resources. This study used Landsat satellite images in 1987, 2002, and 2021 to monitor the spatiotemporal variation of vegetation cover in the Al-Ahsa Oasis, applied multi -temporal Normalized Difference Vegetation Index (NDVI) data spanning from 1987 to 2021 to assess environmental and spatiotemporal variations that have occurred in the Al-Ahsa Oasis, and investigated the factors influencing these variation. This study reveals that there is a significant improvement in the ecological environment of the oasis during 1987-2021, with increase of NDVI values being higher than 0.10. In 2021, the highest NDVI value is generally above 0.70, while the lowest value remains largely unchanged. However, there is a remarkable increase in NDVI values between 0.20 and 0.30. The area of low NDVI values (0.00-0.20) has remained almost stable, but the region with high NDVI values (above 0.70) expands during 1987-2021. Furthermore, this study finds that in 1987-2002, the increase of vegetation cover is most notable in the northern region of the study area, whereas from 2002 to 2021, the increase of vegetation cover is mainly concentrated in the northern and southern regions of the study area. From 1987 to 2021, NDVI values exhibit the most pronounced variation, with a significant increase in the "green" zone (characterized by NDVI values exceeding 0.40), indicating a substantial enhancement in the ecological environment of the oasis. The NDVI classification is validated through 50 ground validation points in the study area, demonstrating a mean accuracy of 92.00% in the detection of vegetation cover. In general, both the user's and producer's accuracies of NDVI classification are extremely high in 1987, 2002, and 2021. Finally, this study suggests that environmental authorities should strengthen their overall forestry project arrangements to combat sand encroachment and enhance the ecological environment of the Al-Ahsa Oasis.
引用
收藏
页数:12
相关论文
共 46 条
[1]  
Abdelatti H., 2017, Resources and Environment, V7, P69, DOI DOI 10.5923/J.RE.20170703.02
[3]  
Abolkhair Y., 1981, PhD Dissertation, P415
[4]  
Adams J.B., 2006, Remote Sensing of Landscapes with Spectral Images: A Physical Modeling Approach, P362, DOI DOI 10.1017/CBO9780511617195
[5]   Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia [J].
Allbed, Amal ;
Kumar, Lalit ;
Sinha, Priyakant .
GEOCARTO INTERNATIONAL, 2018, 33 (08) :830-846
[6]   Depicting changes in land surface cover at Al-Hassa oasis of Saudi Arabia using remote sensing and GIS techniques [J].
Almadini, Abdulrahman Mohamed ;
Hassaballa, Abdalhaleem Abdalla .
PLOS ONE, 2019, 14 (11)
[7]  
Alqurashi A.F., 2014, Advances in Remote Sensing, V3, P106, DOI [10.4236/ars.2014.33009, DOI 10.4236/ARS.2014.33009]
[8]   Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia [J].
Alqurashi, Abdullah E. ;
Kumar, Lalit ;
Sinha, Priyakant .
REMOTE SENSING, 2016, 8 (10)
[9]   An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia [J].
Alqurashi, Abdullah F. ;
Kumar, Lalit .
GEOCARTO INTERNATIONAL, 2019, 34 (01) :78-97
[10]   Automatic analysis of the difference image for unsupervised change detection [J].
Bruzzone, L ;
Prieto, DF .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (03) :1171-1182