干旱区生态环境知识资源中心(Arid): An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions

Arid

DOI	10.3390/w14101523
	An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions
	Al-Maliki, Sadiq; Ibrahim, Taha I. M.; Jakab, Gusztav; Masoudi, Malihe; Makki, Jamal S.; Vekerdy, Zoltan
通讯作者	Ibrahim, TIM
来源期刊	WATER
EISSN	2073-4441
出版年	2022
卷号	14 期号:10
英文摘要	Marshlands in arid and semi-arid areas are considered constantly changing environments due to unsecured water supplies as a result of high evapotranspiration and limited and highly variable rainfall. Classification of marshlands in these regions and mapping of their land cover is not an easy task and maps need to be upgraded frequently. Satellites provide enormous amounts of information and data for the continuous monitoring of changes. The aim of this paper is to introduce an approach using multispectral satellite imagery that was adopted to classify and monitor the Al Hammar Marsh (Iraq) over several years and to suggest a relationship between the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and the Normalized Difference Water Index (NDWI), using Landsat 8 data with a resolution of 30 m x 30 m, validated with Sentinel-2 datasets at 10 m x 10 m. Six land cover classes were used: (1) open water, (2) dry area, (3) dense vegetation, (4) medium-density vegetation, (5) sparse vegetation, and (6) wet soil. Three indices, NDWI, NDMI, and NDVI, were chosen for the automatic classification of each pixel and the creation of a time series of land cover maps. The proposed method can efficiently classify and monitor marshlands and can be used to study different marshlands by adjusting the thresholds for NDVI, NDMI, and NDWI. Overall, the correlation for all classes (R) between Landsat 8 and Sentinel-2 is about 0.78. Thus, this approach will help to preserve marshes through improved water management.
英文关键词	Al Hammar marsh NDVI NDMI NDWI wetlands vegetation monitoring land cover mapping
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000802521100001
WOS关键词	LAND-COVER CLASSIFICATION ; DIFFERENCE WATER INDEX ; WETLAND ; VEGETATION ; DELTA ; NDWI
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394786
推荐引用方式 GB/T 7714	Al-Maliki, Sadiq,Ibrahim, Taha I. M.,Jakab, Gusztav,et al. An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions[J],2022,14(10).
APA	Al-Maliki, Sadiq,Ibrahim, Taha I. M.,Jakab, Gusztav,Masoudi, Malihe,Makki, Jamal S.,&Vekerdy, Zoltan.(2022).An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions.WATER,14(10).
MLA	Al-Maliki, Sadiq,et al."An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions".WATER 14.10(2022).