干旱区生态环境知识资源中心(Arid): Geo-informatics techniques for detecting changes in land use and land cover in response to regional weather variation

Arid

DOI	10.1007/s00704-023-04536-8
	Geo-informatics techniques for detecting changes in land use and land cover in response to regional weather variation
	Younus, Mohammed H.; Mohammed, Ruqayah
通讯作者	Mohammed, R
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2023
卷号	154 期号:1-2 页码:89-106
英文摘要	Representing and measuring the status of land use and land cover (LU and LC) alterations and drivers of alteration are essential for classifying susceptible regions for alteration and planning sustainable environmental services. This study presents the contributing factors of LU and LC and the extent and effects of these changes on sustainable LU in the Diyala River drainage area, north of Iraq. Five major LU and LC types (cultivated and settled land, bare land, water bodies, and palm) from Landsat images of 2013, 2016, 2019, and 2022 were mapped. The images were classified using a classification algorithm and a maximum likelihood classifier. The normalized difference vegetation index (NDVI), vegetation condition index (VCI), and land surface temperature (LST) maps are derived using multi-temporal Landsat 8 and 9 OLI/TIRS satellites. In the past decade, the buildup and barren lands have expanded from 1295.8 km(2) (3.9%) to 1677.4 km(2) (5.1%) and 5770.3 km(2) (17.5%) to 8501.1 km(2) (25.8%), whereas the vegetation cover has declined from 25,273.9 km(2) (76.6%) to 22,421.8 km(2) (68.0%). NDVI saw a significant rise in 2019 and 2022. There were maximum changes in NDVI in the northeast and southeast, where rainfall was higher than before in some parts. The VCI results showed that in 2022, there was a larger class area, with a prolonged extreme drought extent of 5727.1 km(2) (47.8%). The findings imply that NDVI and LST are more closely correlated drought indices and are appropriate for use in arid and semi-arid areas to monitor drought with limited data. These studies will advance our knowledge of the connections between drought indices from remote sensing and meteorology. It is suggested that this research methodology be used again in the future, taking into account the impact of changes in climate that affect LU and LC patterns in similar climates.
英文关键词	Land use land cover Diyala Basin Weather variability Catchment management Vegetation Condition Index Deviation identification
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001025868500002
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398906
推荐引用方式 GB/T 7714	Younus, Mohammed H.,Mohammed, Ruqayah. Geo-informatics techniques for detecting changes in land use and land cover in response to regional weather variation[J],2023,154(1-2):89-106.
APA	Younus, Mohammed H.,&Mohammed, Ruqayah.(2023).Geo-informatics techniques for detecting changes in land use and land cover in response to regional weather variation.THEORETICAL AND APPLIED CLIMATOLOGY,154(1-2),89-106.
MLA	Younus, Mohammed H.,et al."Geo-informatics techniques for detecting changes in land use and land cover in response to regional weather variation".THEORETICAL AND APPLIED CLIMATOLOGY 154.1-2(2023):89-106.