Arid
DOI10.3390/rs8090714
Agricultural Soil Alkalinity and Salinity Modeling in the Cropping Season in a Spectral Endmember Space of TM in Temperate Drylands, Minqin, China
Sun, Danfeng; Jiang, Wanbei
通讯作者Sun, Danfeng
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2016
卷号8期号:9
英文摘要

This paper presents the potential of the four-image spectral endmember (EM) space comprising sand (SL), green vegetation (GV), saline land (SA), and dark materials (DA), unmixed from Landsat TM/ETM+ to map dryland agricultural soil alkalinity and salinity (i.e., soil alkalinity (pH) and soil electrical conductivity (EC)) in the shallow root zone (0-20 cm) using partial least squares regression (PLSR) and an artificial neural network (ANN). The results reveal that SA, SL, and GV fractions at the subpixel level, and land surface temperature (LST) are necessary independent variables for soil EC modeling in Minqin Oasis, a temperate-arid system in China. The R-2 (coefficient of determination) of the optimized parameters with the ANN model was 0.79, the root mean squared error (RMSE) was 0.13, and the ratio of prediction to deviation (RPD) was 1.95 when evaluated against all sampled data. In addition to the aforementioned four variables, the DA fraction and the recent historical SA fraction (SAH) in the spring dry season in 2008 were also helpful for soil pH modeling. The model performance is R-2 = 0.76, RMSE = 0.24, and RPD = 1.96 for all sampled data. In summary, the stable EMs and LST space of TM imagery with an ANN approach can generate near-real-time regional soil alkalinity and salinity estimations in the cropping period. This is the case even in the critical agronomic range (EC of 0-20 dSm(-1) and pH of 7-9) at which researchers and policy-makers require near-real-time crop management information.


英文关键词dryland soil alkalinity and salinity spectral end-member land surface temperature crop season artificial neural network TM ETM
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000385488000024
WOS关键词ARTIFICIAL NEURAL-NETWORKS ; SALT-AFFECTED SOILS ; REFLECTANCE SPECTRA ; COUNTY ; DEGRADATION ; REGRESSION ; VEGETATION ; RETRIEVAL ; BAND ; TOOL
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/195971
作者单位China Agr Univ, Land Resources & Management Dept, Coll Nat Resources & Environm Sci, Beijing 100193, Peoples R China
推荐引用方式
GB/T 7714
Sun, Danfeng,Jiang, Wanbei. Agricultural Soil Alkalinity and Salinity Modeling in the Cropping Season in a Spectral Endmember Space of TM in Temperate Drylands, Minqin, China[J]. 中国农业大学,2016,8(9).
APA Sun, Danfeng,&Jiang, Wanbei.(2016).Agricultural Soil Alkalinity and Salinity Modeling in the Cropping Season in a Spectral Endmember Space of TM in Temperate Drylands, Minqin, China.REMOTE SENSING,8(9).
MLA Sun, Danfeng,et al."Agricultural Soil Alkalinity and Salinity Modeling in the Cropping Season in a Spectral Endmember Space of TM in Temperate Drylands, Minqin, China".REMOTE SENSING 8.9(2016).
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