Author
Peng Guo, Fadong Wu and Jianguo Dai
Asian Agricultural Research, 2016, vol. 08, issue 11
Abstract: With the cotton field of Regiment 105, Division 6 of Production and Construction Corps of Xinjiang as the object of study, this paper uses remote sensing, geographic information system technology and statistical analysis software to analyze the correlation between 18 sets of spectral data and cotton plant height, with a view to exploring the characteristics of difference in image spectrum parameters and related indices under different cotton plant height. The results show that the correlation between spectral reflectance and plant height reaches a highly significant level in blue light, green light, red light and near infrared wavebands, and NDVI and LAI vegetation indices established using red light and near infrared wavebands are significantly and positively correlated with plant height.
Keywords: LandSat8; Cotton; Plant height; Agribusiness (search for similar items in EconPapers)
Date: 2016
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Peng Guo, Fadong Wu and Jianguo Dai
Asian Agricultural Research, 2016, vol. 08, issue 11
Abstract: With the cotton field of Regiment 105, Division 6 of Production and Construction Corps of Xinjiang as the object of study, this paper uses remote sensing, geographic information system technology and statistical analysis software to analyze the correlation between 18 sets of spectral data and cotton plant height, with a view to exploring the characteristics of difference in image spectrum parameters and related indices under different cotton plant height. The results show that the correlation between spectral reflectance and plant height reaches a highly significant level in blue light, green light, red light and near infrared wavebands, and NDVI and LAI vegetation indices established using red light and near infrared wavebands are significantly and positively correlated with plant height.
Keywords: LandSat8; Cotton; Plant height; Agribusiness (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://purl.umn.edu/253349 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text
Persistent link: http://EconPapers.repec.org/RePEc:ags:asagre:253349
Access Statistics for this article
Asian Agricultural Research is currently edited by November
More articles in Asian Agricultural Research from USA-China Science and Culture Media Corporation
Series data maintained by AgEcon Search (aesearch@umn.edu).
For further details logon website :
http://econpapers.repec.org/article/agsasagre/253349.htm
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