干旱区生态环境知识资源中心(Arid): Fine scale mapping of fractional tree canopy cover to support river basin management

Arid

DOI	10.1002/hyp.14156
	Fine scale mapping of fractional tree canopy cover to support river basin management
	Gao, Sicong; Castellazzi, Pascal; Vervoort, R. Willem; Doody, Tanya M.
通讯作者	Gao, SC (corresponding author), Univ Canberra, Ctr Appl Water Sci, Canberra, ACT 2601, Australia.
来源期刊	HYDROLOGICAL PROCESSES
ISSN	0885-6087
EISSN	1099-1085
出版年	2021
卷号	35 期号:4
英文摘要	Management of water, regionally, nationally and globally will continue to be a priority and complex undertaking. In riverine systems, biotic components like flora and fauna play critical roles in filtering water so it is available for human use and consumption. Preservation of ecosystems and associated ecosystem functions is therefore vital. In highly regulated large river basins, natural ecosystems are often supported through provision of environmental flows. Flow delivery, however, should be underpinned by rigorous monitoring to identify and prioritise biotic water requirements. Currently, large-scale monitoring solutions are scaled from remote sensing data via measurement of field evapotranspiration for woody tree vegetation species. However, as there is generally a mismatch between field data collection area and remote sensing pixel size, new methods are required to proportion tree evapotranspiration based on tree fractional canopy area per pixel. We present a novel method to derive tree fractional canopy cover (FTCC) at 20 m resolution in semi-arid and arid floodplain areas. The method employs LiDAR as a canopy area field measurement proxy (10 m resolution). We used Sentinel-1 and Sentinel-2 (radar and multispectral imagery) in a Random Forest analysis, undertaken to develop a predictive FTCC model trained using LiDAR for two regions in the Murray-Darling Basin. A predictor model combining the results of both regions was able to explain between 71%-85% of FTCC variation when compared to LiDAR FTCC when output in 10% increments. Development of this method underpins the advancement of woody vegetation monitoring to inform environmental flow management in the Murray-Darling Basin. The method and fine scale outputs will also be of value to other catchment management concerns such as altered catchment water yields related to bushfires and as such has application to water management worldwide.
英文关键词	catchment water management evapotranspiration LiDAR Murray– Darling basin radar SAR sentinel vegetation
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000645220700017
WOS关键词	GUM EUCALYPTUS-CAMALDULENSIS ; VEGETATION COVER ; AIRBORNE LIDAR ; WATER YIELD ; EVAPOTRANSPIRATION ; FOREST ; SENTINEL-2 ; AUSTRALIA ; MULTIFREQUENCY ; REFLECTANCE
WOS类目	Water Resources
WOS研究方向	Water Resources
来源机构	Commonwealth Scientific and Industrial Research Organisation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368865
作者单位	[Gao, Sicong] Univ Canberra, Ctr Appl Water Sci, Canberra, ACT 2601, Australia; [Gao, Sicong; Castellazzi, Pascal; Doody, Tanya M.] CSIRO Land & Water, PMB 2, Glen Osmond, SA, Australia; [Castellazzi, Pascal] CSIRO, Deep Earth Imaging FSP Land & Water, Glen Osmond, SA, Australia; [Vervoort, R. Willem] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Gao, Sicong,Castellazzi, Pascal,Vervoort, R. Willem,et al. Fine scale mapping of fractional tree canopy cover to support river basin management[J]. Commonwealth Scientific and Industrial Research Organisation,2021,35(4).
APA	Gao, Sicong,Castellazzi, Pascal,Vervoort, R. Willem,&Doody, Tanya M..(2021).Fine scale mapping of fractional tree canopy cover to support river basin management.HYDROLOGICAL PROCESSES,35(4).
MLA	Gao, Sicong,et al."Fine scale mapping of fractional tree canopy cover to support river basin management".HYDROLOGICAL PROCESSES 35.4(2021).