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International Journal of Remote Sensing Volume 35, 2014 - Issue 4
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Articles

Estimating maize ground cover using spectral data from Aqua-MODIS in Córdoba, Argentina

A.C. de la CasaFacultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba, ArgentinaCorrespondence[email protected]
,
G.G. OvandoFacultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Córdoba, Argentina
,
A.C. RaveloConsejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, Argentina
,
E.G. AbrilFacultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
&
H. BergamaschiUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Pages 1295-1308 | Received 26 Dec 2012, Accepted 03 Dec 2013, Published online: 17 Feb 2014

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Deepika Uppala, Ramana Kothapalli Venkata, Srikanth Poloju, SeshaSai Mullapudi Venkata Rama & Vinay Kumar Dadhwal. (2016) Discrimination of maize crop with hybrid polarimetric RISAT1 data. International Journal of Remote Sensing 37:11, pages 2641-2652.
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Articles from other publishers (6)

José M. Muñoz, Martín A. Bolaños, Enrique Palacios, Luis A. Palacios & José M. Salvador. (2023) Estimación de la fracción de cobertura vegetal en maíz a partir de información obtenida con sensores remotos. Tecnología y ciencias del agua 14:5, pages 331-363.
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I.D. Tsakmakis, G.D. Gikas & G.K. Sylaios. (2021) Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize. Agricultural Water Management 255, pages 106998.
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Tomás R. Tenreiro, Margarita García-Vila, José A. Gómez, José A. Jiménez-Berni & Elías Fereres. (2021) Using NDVI for the assessment of canopy cover in agricultural crops within modelling research. Computers and Electronics in Agriculture 182, pages 106038.
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A. de la Casa, G. Ovando, L. Bressanini, J. Martínez, G. Díaz & C. Miranda. (2018) Soybean crop coverage estimation from NDVI images with different spatial resolution to evaluate yield variability in a plot. ISPRS Journal of Photogrammetry and Remote Sensing 146, pages 531-547.
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Bingwen Qiu, Yingze Huang, Chongchen Chen, Zhenghong Tang & Fengli Zou. (2018) Mapping spatiotemporal dynamics of maize in China from 2005 to 2017 through designing leaf moisture based indicator from Normalized Multi-band Drought Index. Computers and Electronics in Agriculture 153, pages 82-93.
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Ke Tang, Wenquan Zhu, Pei Zhan & Siyang Ding. (2018) An Identification Method for Spring Maize in Northeast China Based on Spectral and Phenological Features. Remote Sensing 10:2, pages 193.
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