干旱区生态环境知识资源中心(Arid): An improved algorithm for mapping burnt areas in the Mediterranean forest landscape of Morocco

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DOI	10.1007/s11676-018-0669-7
	An improved algorithm for mapping burnt areas in the Mediterranean forest landscape of Morocco
	Zidane, Issameddine 1; Lhissou, Rachid 2; Bouli, Abdelali 1; Mabrouki, Mustapha 3
通讯作者	Mabrouki, Mustapha
来源期刊	JOURNAL OF FORESTRY RESEARCH
ISSN	1007-662X
EISSN	1993-0607
出版年	2019
卷号	30 期号:3 页码:981-992
英文摘要	The identification of burnt forests and their monitoring provide essential information for the suitable management and conservation of these ecosystems. This research focuses on the use of remote sensing with MODIS sensor data in a Mediterranean environment, precisely in the Rif region known for its high occurrence of forest fires and the largest burnt areas in Morocco. It mapped the burnt areas during the summer of 2016 using spectral indices from MODIS images, namely the Normalized Burn Ratio (NBR) and the Burnt Area Index for MODIS (BAIM). Two field surveys were used to calibrate spectral indices and validate the maps. First, a monotemporal analysis using a single pre-fire image determined the appropriate threshold of the spectral indices (BAIM and NBR) for burn detecting. Secondly, a multitemporal method was applied based on dBAIM and dNBR images which represented pre-fire and postfire differences of the BAIM and NBR images, respectively. The results show that separate use of monotemporal postfire and multitemporal methods produced an overestimation of the burnt areas. Finally, we propose a new algorithm combining both methods for burnt area mapping that we name Burnt Area Algorithm. MCD45A1 and MCD64A1 MODIS burnt area products were compared to the proposed algorithm. Validation of the estimated burnt areas using reference data of the Moroccan High Commission for Water, Forests and Fight against Desertification showed satisfactory results using the proposed algorithm, with a determination coefficient of 0.68 and a root mean square error of 44.0ha.
英文关键词	Burnt forest mapping Threshold MODIS MCD45A1 MCD64A1 Spectral indices Morocco
类型	Article
语种	英语
国家	Morocco
收录类别	SCI-E
WOS记录号	WOS:000466148600023
WOS关键词	EAST-CENTRAL FLORIDA ; MULTISCALE APPROACH ; VEGETATION COVER ; SPECTRAL INDEXES ; FIRE REGIME ; SEVERITY ; RECOVERY ; SAVANNA ; BIOMASS ; AFRICA
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217018
作者单位	1.Sultan Moulay Slimane Univ, Fac Sci & Technol, Environm & Valorisat Agroresource Lab, BO 523, Beni Mellal, Morocco; 2.Sultan Moulay Slimane Univ, Fac Sci & Technol, Team Remote Sensing & GIS Appl Geosci & Environm, BO 523, Beni Mellal, Morocco; 3.Sultan Moulay Slimane Univ, Fac Sci & Technol, Ind Engn Lab, BO 523, Beni Mellal, Morocco
推荐引用方式 GB/T 7714	Zidane, Issameddine,Lhissou, Rachid,Bouli, Abdelali,et al. An improved algorithm for mapping burnt areas in the Mediterranean forest landscape of Morocco[J],2019,30(3):981-992.
APA	Zidane, Issameddine,Lhissou, Rachid,Bouli, Abdelali,&Mabrouki, Mustapha.(2019).An improved algorithm for mapping burnt areas in the Mediterranean forest landscape of Morocco.JOURNAL OF FORESTRY RESEARCH,30(3),981-992.
MLA	Zidane, Issameddine,et al."An improved algorithm for mapping burnt areas in the Mediterranean forest landscape of Morocco".JOURNAL OF FORESTRY RESEARCH 30.3(2019):981-992.