Arid
DOI10.3390/rs13173423
Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts
Gao, Shang; Li, Zhi; Chen, Mengye; Allen, Daniel; Neeson, Thomas; Hong, Yang
通讯作者Hong, Y (corresponding author), Univ Oklahoma, Hydrometeorol & Remote Sensing Lab, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:17
英文摘要Water scarcity during severe droughts has profound hydrological and ecological impacts on rivers. However, the drying dynamics of river surface extent during droughts remains largely understudied. Satellite remote sensing enables surveys and analyses of rivers at fine spatial resolution by providing an alternative to in-situ observations. This study investigates the seasonal drying dynamics of river extent in California where severe droughts have been occurring more frequently in recent decades. Our methods combine the use of Landsat-based Global Surface Water (GSW) and global river bankful width databases. As an indirect comparison, we examine the monthly fractional river extent (FrcSA) in 2071 river reaches and its correlation with streamflow at co-located USGS gauges. We place the extreme 2012-2015 drought into a broader context of multi-decadal river extent history and illustrate the extraordinary change between during- and post-drought periods. In addition to river extent dynamics, we perform statistical analyses to relate FrcSA with the hydroclimatic variables obtained from the National Land Data Assimilation System (NLDAS) model simulation. Results show that Landsat provides consistent observation over 90% of area in rivers from March to October and is suitable for monitoring seasonal river drying in California. FrcSA reaches fair (>0.5) correlation with streamflow except for dry and mountainous areas. During the 2012-2015 drought, 332 river reaches experienced their lowest annual mean FrcSA in the 34 years of Landsat history. At a monthly scale, FrcSA is better correlated with soil water in more humid areas. At a yearly scale, summer mean FrcSA is increasingly sensitive to winter precipitation in a drier climate; and the elasticity is also reduced with deeper ground water table. Overall, our study demonstrates the detectability of Landsat on the river surface extent in an arid region with complex terrain. River extent in catchments of deficient water storage is likely subject to higher percent drop in a future climate with longer, more frequent droughts.
英文关键词drought Landsat river surface extent seasonal drying NLDAS
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:000694489300001
WOS关键词SURFACE-WATER CHANGE ; CLIMATE-CHANGE ; LOW FLOWS ; INDEX ; RESILIENCE ; STREAMFLOW ; EXTRACTION ; IMPACTS ; FUTURE ; RISK
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/2XILL650/364480
作者单位[Gao, Shang; Li, Zhi; Chen, Mengye; Hong, Yang] Univ Oklahoma, Hydrometeorol & Remote Sensing Lab, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA; [Allen, Daniel] Univ Oklahoma, Dept Biol, Norman, OK 73019 USA; [Neeson, Thomas] Univ Oklahoma, Dept Geog & Environm Sustainabil, Norman, OK 73019 USA
推荐引用方式
GB/T 7714
Gao, Shang,Li, Zhi,Chen, Mengye,et al. Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts[J],2021,13(17).
APA Gao, Shang,Li, Zhi,Chen, Mengye,Allen, Daniel,Neeson, Thomas,&Hong, Yang.(2021).Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts.REMOTE SENSING,13(17).
MLA Gao, Shang,et al."Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts".REMOTE SENSING 13.17(2021).
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