Arid
DOI10.1016/j.ecolind.2018.05.069
Validating the use of MODIS time series for salinity assessment over agricultural soils in California, USA
Whitney, Kristen1; Scudiero, Elia2,3; El-Askary, Hesham M.4,5,6; Skaggs, Todd H.3; Allali, Mohamed5; Corwin, Dennis L.3
通讯作者Scudiero, Elia
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2018
卷号93页码:889-898
英文摘要

Testing soil salinity assessment methodologies over different regions is important for future continental and global scale applications. A novel regional-scale soil salinity modeling approach using plant-performance metrics was proposed by Zhang et al. (2015) for farmland in the Yellow River Delta, China, a region with a humid continental/subtropical climate. The one-year integral of temporally interpolated MODIS Enhanced Vegetation Index (EVI) time series data was proposed as an explanatory variable for agricultural soil salinity modeling. Here, we test such a methodology in California’s Central Valley, USA, a region with a semi-arid Mediterranean climate. Time series of EVI, Normalized Difference Vegetation Index (NDVI), and Canopy Response Salinity Index (CRSI) were created for the 2007-2013 period. Seventy-three MODIS pixels surveyed for 0-1.2-m soil salinity in 2013 were used as the ground-truth dataset. Our results validate the tested approach: the 2013 integral of CRSI (best performing index) had a Pearson correlation coefficient (r) of -0.699 with salinity. Results obtained using temporally integrated data were almost always better than those obtained using individual data. Furthermore, we show that the methodology can be improved by the use of multi-year data. Further research is needed to improve spatial resolution and the selection of vegetation indices.


英文关键词Soil salinity indicator Salinity stress Vegetation reflectance Remote sensing MODIS time series data
类型Article
语种英语
国家USA ; Egypt
收录类别SCI-E
WOS记录号WOS:000452692600089
WOS关键词REFLECTANCE ; GROWTH ; WATER ; INDEXES ; CANOPY ; YIELD ; CORN
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208744
作者单位1.Chapman Univ, Schmid Coll Sci & Technol, Computat & Data Sci Grad Program, Orange, CA 92866 USA;
2.Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA;
3.USDA ARS, US Salin Lab, 450 West Big Springs Rd, Riverside, CA 92507 USA;
4.Chapman Univ, Ctr Excellence Earth Syst Modeling & Observat, Orange, CA 92866 USA;
5.Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA;
6.Alexandria Univ, Fac Sci, Dept Environm Sci, Alexandria 21522, Egypt
推荐引用方式
GB/T 7714
Whitney, Kristen,Scudiero, Elia,El-Askary, Hesham M.,et al. Validating the use of MODIS time series for salinity assessment over agricultural soils in California, USA[J],2018,93:889-898.
APA Whitney, Kristen,Scudiero, Elia,El-Askary, Hesham M.,Skaggs, Todd H.,Allali, Mohamed,&Corwin, Dennis L..(2018).Validating the use of MODIS time series for salinity assessment over agricultural soils in California, USA.ECOLOGICAL INDICATORS,93,889-898.
MLA Whitney, Kristen,et al."Validating the use of MODIS time series for salinity assessment over agricultural soils in California, USA".ECOLOGICAL INDICATORS 93(2018):889-898.
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