干旱区生态环境知识资源中心(Arid): Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments

Arid

DOI	10.4314/sajg.v6i3.5
	Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments
	Fajji, Nahom Gudeta; Palamuleni, Lobina G.; Mlambo, Victor
通讯作者	Fajji, NG
来源期刊	SOUTH AFRICAN JOURNAL OF GEOMATICS
ISSN	2225-8531
出版年	2017
卷号	6 期号:3 页码:333-348
英文摘要	This study was conducted to assess satellite data for quantifying and mapping the spatial distribution of rangeland biophysical parameters (aboveground biomass) from different geographic locations in the North West province, South Africa. Two major factors affecting the quality and conditions of the rangelands, namely rainfall zones and grazing intensities, were used to define sampling classes to represent the predominantly Savanah environment. Remote sensing vegetation indices (NDVI and SAVI) and vegetation cover fraction (SMA) were used to quantify the aboveground biomass using regression models of the sample aboveground biomass as a function. Results showed that private ranches in high rainfall areas yielded the highest aboveground biomass (159 kg 100 m(-2)) while the lowest biomass yield (10 kg 100 m(-2)) was obtained from the communal rangelands in the low rainfall area. The SAVI performed well (0.64) in the low rainfall areas but the coefficient of determination between the AGB and SAVI was not significant (at p <= 0.05). The SMA also performed better than the NDVI (0.53) in the low rainfall areas but because of its weaknesses (0.57 and 0.48) in the high and medium rainfall areas, respectively, this tool is not ideal for quantifying AGB in the North West Province. In spite of its weakness in the low rainfall areas (0.47), the NDVI had displayed stronger coefficient of determination (0.63 and 0.70) with the AGB in the medium and high rainfall zones respectively. From a management perspective, remote sensing techniques appears to be a good alternative for managing and monitoring spatial and temporal AGB production, which is a major determinant for rangeland quality assessment
类型	Article
语种	英语
开放获取类型	Other Gold
收录类别	ESCI
WOS记录号	WOS:000419213300005
WOS关键词	SOUTH-AFRICA ; LAND DEGRADATION ; NDVI ; PERFORMANCE ; MANAGEMENT ; REGRESSION ; AVHRR ; MODIS ; TM
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/332460
作者单位	[Fajji, Nahom Gudeta; Palamuleni, Lobina G.] North West Univ, Dept Geog & Environm Sci, P Bag x2046, ZA-2735 Mmabatho, South Africa; [Mlambo, Victor] North West Univ, Sch Agr Sci, Dept Anim Sci, P Bag x2046, ZA-2735 Mmabatho, South Africa; [Mlambo, Victor] North West Univ, Fac Agr Sci & Technol, Food Secur & Safety Niche Area, P Bag x2046, ZA-2735 Mmabatho, South Africa
推荐引用方式 GB/T 7714	Fajji, Nahom Gudeta,Palamuleni, Lobina G.,Mlambo, Victor. Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments[J],2017,6(3):333-348.
APA	Fajji, Nahom Gudeta,Palamuleni, Lobina G.,&Mlambo, Victor.(2017).Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments.SOUTH AFRICAN JOURNAL OF GEOMATICS,6(3),333-348.
MLA	Fajji, Nahom Gudeta,et al."Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments".SOUTH AFRICAN JOURNAL OF GEOMATICS 6.3(2017):333-348.