干旱区生态环境知识资源中心(Arid): Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery

Arid

DOI	10.3390/rs13010051
	Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery
	Morgan, Bryn E.; Chipman, Jonathan W.; Bolger, Douglas T.; Dietrich, James T.
通讯作者	Morgan, BE (corresponding author), Dartmouth Coll, Dept Geog, 6017 Fairchild, Hanover, NH 03755 USA. ; Morgan, BE (corresponding author), Univ Calif Santa Barbara, Dept Geog, 1832 Ellison, Santa Barbara, CA 93106 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:1
英文摘要	Ephemeral rivers in arid regions act as linear oases, where corridors of vegetation supported by accessible groundwater and intermittent surface flows provide biological refugia in water-limited landscapes. The ecological and hydrological dynamics of these systems are poorly understood compared to perennial systems and subject to wide variation over space and time. This study used imagery obtained from an unmanned aerial vehicle (UAV) to enhance satellite data, which were then used to quantify change in woody vegetation cover along the ephemeral Kuiseb River in the Namib Desert over a 35-year period. Ultra-high resolution UAV imagery collected in 2016 was used to derive a model of fractional vegetation cover from five spectral vegetation indices, calculated from a contemporaneous Landsat 8 Operational Land Imager (OLI) image. The Normalized Difference Vegetation Index (NDVI) provided the linear best-fit relationship for calculating fractional cover; the model derived from the two 2016 datasets was subsequently applied to 24 intercalibrated Landsat images to calculate fractional vegetation cover for the Kuiseb extending back to 1984. Overall vegetation cover increased by 33% between 1984 and 2019, with the most highly vegetated reach of the river exhibiting the greatest positive change. This reach corresponds with the terminal alluvial zone, where most flood deposition occurs. The spatial and temporal trends discovered highlight the need for long-term monitoring of ephemeral ecosystems and demonstrate the efficacy of a multi-sensor approach to time series analysis using a UAV platform.
英文关键词	desert hydrology riparian forest unmanned aerial vehicles multi-sensor fusion fractional vegetation cover Kuiseb spatiotemporal patterns
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:000606186700001
WOS关键词	STRUCTURE-FROM-MOTION ; PLANT-SPECIES RICHNESS ; LOWER KUISEB RIVER ; RADIOMETRIC NORMALIZATION ; RIPARIAN ECOSYSTEMS ; DYNAMICS ; STRESS ; IMPACT ; FLOODS ; INTERMITTENT
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/2XILL650/348131
作者单位	[Morgan, Bryn E.; Chipman, Jonathan W.; Dietrich, James T.] Dartmouth Coll, Dept Geog, 6017 Fairchild, Hanover, NH 03755 USA; [Bolger, Douglas T.] Dartmouth Coll, Environm Studies Program, 6182 Steele, Hanover, NH 03755 USA; [Dietrich, James T.] Dartmouth Coll, William H Neukom Inst Computat Studies, Hanover, NH 03755 USA; [Morgan, Bryn E.] Univ Calif Santa Barbara, Dept Geog, 1832 Ellison, Santa Barbara, CA 93106 USA; [Dietrich, James T.] Univ Northern Iowa, Dept Geog, 205 ITTC, Cedar Falls, IA 50613 USA
推荐引用方式 GB/T 7714	Morgan, Bryn E.,Chipman, Jonathan W.,Bolger, Douglas T.,et al. Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery[J],2021,13(1).
APA	Morgan, Bryn E.,Chipman, Jonathan W.,Bolger, Douglas T.,&Dietrich, James T..(2021).Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery.REMOTE SENSING,13(1).
MLA	Morgan, Bryn E.,et al."Spatiotemporal Analysis of Vegetation Cover Change in a Large Ephemeral River: Multi-Sensor Fusion of Unmanned Aerial Vehicle (UAV) and Landsat Imagery".REMOTE SENSING 13.1(2021).