干旱区生态环境知识资源中心(Arid): Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands

Arid

DOI	10.3390/rs14246322
	Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands
	Sutton, Andres; Fisher, Adrian; Metternicht, Graciela
通讯作者	Sutton, A
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:24
英文摘要	Satellite-derived vegetation fractional cover (VFC) has shown to be a promising tool for dryland ecosystem monitoring. This model, calibrated through biophysical field measurements, depicts the sub-pixel proportion of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV) and bare soil (BS). The distinction between NPV and BS makes it particularly important for drylands, as these fractions often dominate. Two Landsat VFC products are available for the Australian continent: the original Joint Remote Sensing Research Program (JRSRP) product, and a newer Digital Earth Australia (DEA) product. Although similar validation statistics have been presented for each, an evaluation of their differences has not been undertaken. Moreover, spatial variability of VFC accuracy within drylands has not been comprehensively assessed. Here, a large field dataset (4207 sites) was employed to compare Landsat VFC accuracy across the Australian continent, with detailed spatial and temporal analysis conducted on four regions of interest. Furthermore, spatiotemporal features of VFC unmixing error (UE) were explored to characterize model uncertainty in large areas yet to be field sampled. Our results showed that the JRSRP and DEA VFC were very similar (RMSE = 4.00-6.59) and can be employed interchangeably. Drylands did not show a substantial difference in accuracy compared to the continental assessment; however contrasting variations were observed in dryland subtypes (e.g., semi-arid and arid zones). Moreover, VFC effectively tracked total ground cover change over time. UE increased with tree cover and height, indicating that model uncertainty was low in typical dryland landscapes. Together, these results provide guiding points to understanding the Australian ecosystems where VFC can be used with confidence.
英文关键词	spectral unmixing arid semi-arid ground cover unmixing error
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000904510100001
WOS关键词	NONPHOTOSYNTHETIC VEGETATION ; PHOTOSYNTHETIC VEGETATION ; SURFACE REFLECTANCE ; BRDF CORRECTION ; BARE SOIL ; INDEXES ; IMAGERY ; PLUS
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/2XILL650/394251
推荐引用方式 GB/T 7714	Sutton, Andres,Fisher, Adrian,Metternicht, Graciela. Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands[J],2022,14(24).
APA	Sutton, Andres,Fisher, Adrian,&Metternicht, Graciela.(2022).Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands.REMOTE SENSING,14(24).
MLA	Sutton, Andres,et al."Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands".REMOTE SENSING 14.24(2022).