Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils-Reference-Cited by-同舟云学术

Spectral reflectance for the mineralogical evaluation of Brazilian low clay activity soils

Published:2007-09-20 Issue:20 Volume:28 Page:4537-4559
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Demattê J. A. M.¹,Nanni M. R.²,Formaggio A. R.³,Epiphanio J. C. N.³

Affiliation:

1. a Department of Soil and Plant Nutrition , University of São Paulo , P.B. 09, Piracicaba, São Paulo, Brazil

2. b Department of Agronomy , State University of Maringá , Av. Colombo, 5790. Maringá, Paraná, Brazil

3. c Brazilian National Spacial Resource Institute , São José dos Campos, São Paulo, Brazil

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160701250408

Reference47 articles.

1. MAPPING THE SOILS OF THE MAJOR NATURAL ZONES OF THE USSR FROM REMOTE SENSING IMAGERY

2. Surface parameter retrieval using fast learning neural networks

3. Quantitative remote sensing of soil properties

4. Camargo , A. O. de , Moniz , A. C , Jorge , J. A and Valadares , J. M , eds. 1986.Métodos de análise química, mineralógica e física de solos do IAC [IAC Methods of Chemical, Mineralogical, and Physical Analysis of Soils], 95Campinas: IAC. Boletim Técnico 106

5. Near-Infrared Reflectance Spectroscopy-Principal Components Regression Analyses of Soil Properties

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