IMHE OpenIR  > 数字山地与遥感应用中心
Prediction of soil properties using a hyperspectral remote sensing method
Yu, Huan1,4; Kong, Bo2; Wang, Guangxing3; Du, Rongxiang1; Qie, Guangping3
2018
Source PublicationARCHIVES OF AGRONOMY AND SOIL SCIENCE
ISSN0365-0340
Volume64Issue:4Pages:546-559
SubtypeArticle
Contribution Rank2
AbstractQuickly and accurately mapping soil properties is critical for agricultural, forestry and environmental management. In this study, a new hyperspectral remote sensing method of soil property prediction was developed and validated in Stipa purpurea dominated alpine grasslands located in Shenzha County of the Qiangtang Plateau, northwestern Qinghai-Tibet Plateau. Hyperspectral data were collected in a total of 67 sample points. At the same time, soil samples were obtained at the locations and soil properties including organic carbon, total nitrogen, total potassium and total phosphorus were measured. The correlations of the soil properties with original bands and enhanced spectral variables derived from both field and satellite hyperspectral data were analyzed. Regression models that explained the relationships were further developed to map the soil properties. The results showed that the stepwise regression models based on the satellite hyperspectral image derived enhanced spectral variables produced reasonable spatial distributions of the soil properties and the relative RMSE values of 68.9, 46.3, 31.4 and 45.5% for soil organic carbon, total nitrogen, total phosphorus and total potassium, respectively. Thus, this study implied that the hyperspectral data based method provided great potential to predict the soil properties.
KeywordAlpine grasslands correlation analysis hyperspectral data soil properties stepwise regression Stipa Purpurea
DOI10.1080/03650340.2017.1359416
Indexed BySCI
WOS KeywordORGANIC-CARBON ; REFLECTANCE SPECTROSCOPY ; DROUGHT TOLERANCE ; NIR SPECTROSCOPY ; CLAY CONTENT ; FIELD ; GRASSLAND ; CHINA ; PATTERNS ; TEXTURE
Language英语
WOS Research AreaAgriculture
WOS SubjectAgronomy ; Soil Science
WOS IDWOS:000427050800008
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/22842
Collection数字山地与遥感应用中心
Corresponding AuthorYu, Huan
Affiliation1.Chengdu Univ Technol, Coll Earth Sci, Chengdu, Sichuan, Peoples R China;
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R China;
3.Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL USA;
4.Chengdu Univ Technol, Minist Land & Resources, Key Lab Geosci Spatial Informat Technol, Chengdu, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Yu, Huan,Kong, Bo,Wang, Guangxing,et al. Prediction of soil properties using a hyperspectral remote sensing method[J]. ARCHIVES OF AGRONOMY AND SOIL SCIENCE,2018,64(4):546-559.
APA Yu, Huan,Kong, Bo,Wang, Guangxing,Du, Rongxiang,&Qie, Guangping.(2018).Prediction of soil properties using a hyperspectral remote sensing method.ARCHIVES OF AGRONOMY AND SOIL SCIENCE,64(4),546-559.
MLA Yu, Huan,et al."Prediction of soil properties using a hyperspectral remote sensing method".ARCHIVES OF AGRONOMY AND SOIL SCIENCE 64.4(2018):546-559.
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