Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 1470-160X |
EISSN | 1872-7034 |
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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