Development of an Earth observation processing chain for crop biophysical parameters at local and global scale

M. Campos-Taberner

doi:10.4995/raet.2017.7902

Authors

M. Campos-Taberner Universitat de València

DOI:

https://doi.org/10.4995/raet.2017.7902

Keywords:

Biophysical parameters, Radiative transfer modeling, Machine learning

Abstract

Reseña de tesis doctoral defendida el 17 de Julio de 2017.

Lugar: Facultat de Física, Universitat de València.

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Author Biography

M. Campos-Taberner, Universitat de València

Departament de Física de la Terra i Termodinàmica.

References

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Campos-Taberner, M., García-Haro, F. J., CampsValls, G., Grau-Muedra, G., Nutini, F., Busetto, L., Katsantonis, D., Stavrakoudis, D., Minakou, C., Gatti, L., Barbieri, M., Holecz, F., Stroppiana, D., and Boschetti, M. 2017. Exploitation of SAR and optical Sentinel data to detect rice crop and estimate seasonal dynamics of leaf area index. Remote Sensing, 9(7), 248. https://doi.org/10.3390/ rs9030248

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