干旱区生态环境知识资源中心(Arid): Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images

Arid

DOI	10.1002/ldr.3642
	Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images
	Kim, Jiwon 1; Song, Cholho 2; Lee, Sujong 1; Jo, Hyun-Woo 1; Park, Eunbeen 1; Yu, Hangnan 3,4; Cha, Sungeun 1; An, Jiae 1,5; Son, Yowhan 6; Khamzina, Asia 6; Lee, Woo-Kyun 6
通讯作者	Lee, Woo-Kyun
来源期刊	LAND DEGRADATION & DEVELOPMENT
ISSN	1085-3278
EISSN	1099-145X
出版年	2020
卷号	31 期号:18 页码:2749-2762
英文摘要	The Aral Sea was one of the largest lakes in the world, but almost 60,000 km(2)of the waterbody has dried up due to water withdrawal for irrigation. Afforestation on the desiccated seafloor could be important in preventing soil flation, dust storms, and negative impact on human health. In this study, we aimed to delineate potential vegetation establishment areas on the dried Aral Sea bed using remote-sensed data in support of the decision-making related to afforestation. Various indices such as normalized difference vegetation index (NDVI), topsoil grain size index (TGSI), soil salinity index (SSI), and normalized multiband drought index (NMDI) were calculated from the LANDSAT-8 OLI satellite imagery. As an indicator of vegetation existence, NDVI was classified into three groups and set as a base for classifying other indices by performing statistical analyses. Based on the decision tree method, indices were combined and the potential vegetation establishment area was detected. Higher NDVI was identified in the southeast than the west of the study area. The results of statistical analyses showed that TGSI had a positive correlation with NDVI, while SSI and NMDI had a negative correlation. Overall, the potential vegetation area comprised 7,295.21 km(2)(61.34%) of the 'unsuitable' area, 2,818.64 km(2)(23.7%) of the 'intermediate' area, 1,612.15 km(2)(13.56%) of the 'suitable' area, and 166.42 km(2)(1.4%) of the 'very suitable' area. The developed map enables to identify dried seafloor area suitable for vegetation establishment thus contributing to planning the land rehabilitation efforts and preventing further land degradation.
英文关键词	Afforestation plan Land degradation LANDSAT Remote sensing
类型	Article
语种	英语
国家	South Korea ; Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000540628800001
WOS关键词	ECOSYSTEM SERVICES ; CENTRAL-ASIA ; LAND-USE ; DESERTIFICATION ; COVER ; INDEX ; DUST ; RESTORATION ; VARIABILITY ; DYNAMICS
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319686
作者单位	1.Korea Univ, Dept Environm Sci & Ecol Engn, Seoul 02841, South Korea; 2.Korea Univ, 0JEong Resilience Inst OJERI, Seoul 02841, South Korea; 3.Yanbian Univ, Coll Geog & Ocean Sci, Hunchun 133300, Peoples R China; 4.Yanbian Univ, Wetland Res Ctr, CH-133300 Yanji, Peoples R China; 5.Natl Inst Ecol, Div Restorat Strategy, Yeongyang 36531, South Korea; 6.Korea Univ, Div Environm Sci & Ecol Engn, 145 Anam Ro, Seoul 02841, South Korea
推荐引用方式 GB/T 7714	Kim, Jiwon,Song, Cholho,Lee, Sujong,et al. Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images[J],2020,31(18):2749-2762.
APA	Kim, Jiwon.,Song, Cholho.,Lee, Sujong.,Jo, Hyun-Woo.,Park, Eunbeen.,...&Lee, Woo-Kyun.(2020).Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images.LAND DEGRADATION & DEVELOPMENT,31(18),2749-2762.
MLA	Kim, Jiwon,et al."Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images".LAND DEGRADATION & DEVELOPMENT 31.18(2020):2749-2762.