干旱区生态环境知识资源中心(Arid): Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran

Arid

DOI	10.3390/rs13152879
	Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran
	Andalibi, Lida; Ghorbani, Ardavan; Moameri, Mehdi; Hazbavi, Zeinab; Nothdurft, Arne; Jafari, Reza; Dadjou, Farid
通讯作者	Ghorbani, A (corresponding author), Univ Mohaghegh Ardabili, Water Management Res Ctr, Dept Nat Resources, Ardebil 5619911367, Iran.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:15
英文摘要	The leaf area index (LAI) is an important vegetation biophysical index that provides broad information on the dynamic behavior of an ecosystem's productivity and related climate, topography, and edaphic impacts. The spatiotemporal changes of LAI were assessed throughout Ardabil Province-a host of relevant plant communities within the critical ecoregion of a semi-arid climate. In a comparative study, novel data from Google Earth Engine (GEE) was tested against traditional ENVI measures to provide LAI estimations. Moreover, it is of important practical significance for institutional networks to quantitatively and accurately estimate LAI, at large areas in a short time, and using appropriate baseline vegetation indices. Therefore, LAI was characterized for ecoregions of Ardabil Province using remote sensing indices extracted from Landsat 8 Operational Land Imager (OLI), including the Enhanced Vegetation Index calculated in GEE (EVIG) and ENVI5.3 software (EVIE), as well as the Normalized Difference Vegetation Index estimated in ENVI5.3 software (NDVIE). Moreover, a new field measurement method, i.e., the LaiPen LP 100 portable device (LP 100), was used to evaluate the accuracy of the derived indices. Accordingly, the LAI was measured in June and July 2020, in 822 ground points distributed in 16 different ecoregions-sub ecoregions having various plant functional types (PFTs) of the shrub, bush, and tree. The analyses revealed heterogeneous spatial and temporal variability in vegetation indices and LAIs within and between ecoregions. The mean (standard deviation) value of EVIG, EVIE, and NDVIE at a province scale yielded 1.1 (0.41), 2.20 (0.78), and 3.00 (1.01), respectively in June, and 0.67 (0.37), 0.80 (0.63), and 1.88 (1.23), respectively, in July. The highest mean values of EVIG-LAI, EVIE-LAI, and NDVIE-LAI in June are found in Meshginshahr (1.40), Meshginshahr (2.80), and Hir (4.33) ecoregions and in July are found in Andabil ecoregion respectively with values of 1.23, 1.5, and 3.64. The lowest mean values of EVIG-LAI, EVIE-LAI, and NDVIE-LAI in June were observed for Kowsar (0.67), Meshginshahr (1.8), and Neur (2.70) ecoregions, and in July, the Bilesavar ecoregion, respectively, with values of 0.31, 0.31, and 0.81. High correlation and determination coefficients (r > 0.83 and R-2 > 0.68) between LP 100 and remote sensing derived LAI were observed in all three PFTs (except for NDVIE-LAI in June with r = 0.56 and R-2 = 0.31). On average, all three examined LAI measures tended to underestimate compared to LP 100-LAI (r > 0.42). The findings of the present study could be promising for effective monitoring and proper management of vegetation and land use in the Ardabil Province and other similar areas.
英文关键词	LaiPen management tools remote sensing vegetation indices spatiotemporal changes
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000682206800001
WOS关键词	VEGETATION INDEXES ; SPECTRAL REFLECTANCE ; AIRBORNE LIDAR ; FOREST LAI ; IMAGES ; EVI ; CLOSURE ; NDVI
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368580
作者单位	[Andalibi, Lida; Dadjou, Farid] Univ Mohaghegh Ardabili, Dept Nat Resources, Ardebil 5619911367, Iran; [Ghorbani, Ardavan; Moameri, Mehdi; Hazbavi, Zeinab] Univ Mohaghegh Ardabili, Water Management Res Ctr, Dept Nat Resources, Ardebil 5619911367, Iran; [Nothdurft, Arne] Univ Nat Resources & Life Sci BOKU, Dept Forest & Soil Sci, A-331180 Vienna, Austria; [Jafari, Reza] Isfahan Univ Technol, Dept Nat Resources, Esfahan 8415683111, Iran
推荐引用方式 GB/T 7714	Andalibi, Lida,Ghorbani, Ardavan,Moameri, Mehdi,et al. Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran[J],2021,13(15).
APA	Andalibi, Lida.,Ghorbani, Ardavan.,Moameri, Mehdi.,Hazbavi, Zeinab.,Nothdurft, Arne.,...&Dadjou, Farid.(2021).Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran.REMOTE SENSING,13(15).
MLA	Andalibi, Lida,et al."Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran".REMOTE SENSING 13.15(2021).