Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands

Mu, Xihan; Song, Wanjuan; Ruan, Gaiyan; Huang, Shuai; Ren, Huazhong; Yan, Guangjian

doi:10.1109/JSTARS.2014.2342257

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Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands

Author(s): Xihan Mu , Shuai Huang , Huazhong Ren , Guangjian Yan , Wanjuan Song , Gaiyan Ruan

Publication date (Print): February 2015

Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Most cited references 27

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Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview

E.F. Vermote, D Tanre, J.L. Deuze … (1997)

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Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model

Kim Verhoef (1984)

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The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models

A Ignatov, G Gutman (1998)

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Title: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Abbreviated Title: IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1939-1404

ISSN (Electronic): 2151-1535

Publication date Created: February 2015

Publication date (Print): February 2015

Volume: 8

Issue: 2

Pages: 439-446

Article

DOI: 10.1109/JSTARS.2014.2342257

SO-VID: ee75435f-98d0-4f85-bed1-a72e07798725

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Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands

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HR-EBSD (High Resolution - Electron Back Scatter Diffraction)

Most cited references 27

Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview

Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model

The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models

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