DOI: 10.1016/j.jag.2016.01.001
Scopus记录号: 2-s2.0-85015850331
论文题名: Evaluating ESA CCI soil moisture in East Africa
作者: McNally A ; , Shukla S ; , Arsenault K ; R ; , Wang S ; , Peters-Lidard C ; D ; , Verdin J ; P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 48 起始页码: 96
结束页码: 109
语种: 英语
英文关键词: Agricultural drought monitoring
; East Africa
; Food security
; Remotely sensed soil moisture
Scopus关键词: drought
; environmental monitoring
; extreme event
; food security
; NDVI
; pixel
; rainfall
; remote sensing
; soil moisture
; spatiotemporal analysis
; East Africa
英文摘要: To assess growing season conditions where ground based observations are limited or unavailable, food security and agricultural drought monitoring analysts rely on publicly available remotely sensed rainfall and vegetation greenness. There are also remotely sensed soil moisture observations from missions like the European Space Agency (ESA), Soil Moisture and Ocean Salinity (SMOS) and NASA's Soil Moisture Active Passive (SMAP); however, these time series are still too short to conduct studies that demonstrate the utility of these data for operational applications, or to provide historical context for extreme wet or dry events. To promote the use of remotely sensed soil moisture in agricultural drought and food security monitoring, we evaluate the quality of a 30+ year time series of merged active–passive microwave soil moisture from the ESA Climate Change Initiative (CCI-SM) over East Africa. Compared to the Normalized Difference Vegetation index (NDVI) and modeled soil moisture products, we find substantial spatial and temporal gaps in the early part of the CCI-SM record, with adequate data coverage beginning in 1992. From this point forward, growing season CCI-SM anomalies are well correlated (R > 0.5) with modeled soil moisture, and in some regions, NDVI. We use pixel-wise correlation analysis and qualitative comparisons of seasonal maps and time series to show that remotely sensed soil moisture can inform remote drought monitoring that has traditionally relied on rainfall and NDVI in moderately vegetated regions. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80087
Appears in Collections: 气候变化事实与影响
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作者单位: University of Maryland Earth Systems Science Interdisciplinary Center and Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of California, Santa Barbara, CA, United States; SAIC, Inc., Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Center for Earth Resources Observation Science, U.S. Geological Survey, Sioux Falls, SD, United States
Recommended Citation:
McNally A,, Shukla S,, Arsenault K,et al. Evaluating ESA CCI soil moisture in East Africa[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,48