干旱区生态环境知识资源中心(Arid): Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned

Arid

DOI	10.3390/rs13112093
	Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned
	Lang, Marie; Mahyou, Hamid; Tychon, Bernard
通讯作者	Lang, M (corresponding author), Univ Liege, Dept Environm Sci & Management, 185 Ave Longwy, B-6700 Arlon, Belgium.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:11
英文摘要	This study aimed at investigating the potential of vegetation indices and precipitation-related variables derived from remote sensing to assess rangeland production in the arid environment of the Moroccan Oriental region and identifying the challenges linked to that particular biome. Vegetation indices (VIs) and the Standardized Precipitation Index (SPI) computed at various aggregation periods were first integrated into a Random Forest model. In a second step, we studied in more detail the linear relationship between rangeland biomass and one of the spectral indices (ARVI) for the various vegetation formations present in the area. We concluded that, mostly due to the presence of alfa steppes (Stipa tenacissima), and especially to a large proportion of non-photosynthetic vegetation, it is not possible to accurately estimate rangeland production with a global model in this region. We recommend separating Stipa tenacissima from the other species in models and focusing on methods aimed at studying dry and non-photosynthetic vegetation to improve the quality of the prediction for alfa steppes.
英文关键词	arid regions vegetation indices SPI precipitation biomass Stipa tenacissima random forest
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:000660596900001
WOS关键词	ABOVEGROUND BIOMASS ; VARIABLE IMPORTANCE ; SEMIARID REGIONS ; INNER-MONGOLIA ; CANOPY COVER ; MANAGEMENT ; DROUGHT ; IMPACT ; PRECIPITATION ; VARIABILITY
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/2XILL650/351531
作者单位	[Lang, Marie; Tychon, Bernard] Univ Liege, Dept Environm Sci & Management, 185 Ave Longwy, B-6700 Arlon, Belgium; [Mahyou, Hamid] Inst Natl Rech Agron Maroc, Ctr Reg Rech Agron Oujda, Oujda 60000, Morocco
推荐引用方式 GB/T 7714	Lang, Marie,Mahyou, Hamid,Tychon, Bernard. Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned[J],2021,13(11).
APA	Lang, Marie,Mahyou, Hamid,&Tychon, Bernard.(2021).Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned.REMOTE SENSING,13(11).
MLA	Lang, Marie,et al."Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned".REMOTE SENSING 13.11(2021).