Yield estimation for corn and wheat in the Hungarian Great Plant using Landsat MSS data

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Veröffentlicht in:International journal of remote sensing 1996, Vol.17 (9), p.1689-1700
Hauptverfasser: HAMAR, D, FERENCZ, C, LICHTENBERGER, J, TARCSAI, G, FERENCZ-ARKOS, I
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container_issue 9
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container_title International journal of remote sensing
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creator HAMAR, D
FERENCZ, C
LICHTENBERGER, J
TARCSAI, G
FERENCZ-ARKOS, I
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ispartof International journal of remote sensing, 1996, Vol.17 (9), p.1689-1700
issn 0143-1161
1366-5901
language eng
recordid cdi_pascalfrancis_primary_3105656
source Taylor & Francis:Master (3349 titles)
subjects Agronomy. Soil science and plant productions
Biological and medical sciences
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General agronomy. Plant production
Generalities. Agricultural and farming systems. Agricultural development
Generalities. Production, biomass, yield. Quality
Pollution, environment geology
title Yield estimation for corn and wheat in the Hungarian Great Plant using Landsat MSS data
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