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GIScience & Remote Sensing Volume 46, 2009 - Issue 2
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Original Articles

Integration of Landsat ETM+ Data with Field Measurements for Mapping Leaf Area Index in the Grasslands of Central Kazakhstan

P. A. Propastin Georg-August University Göttingen
&
M. Kappas Georg-August University Göttingen
Pages 212-231 | Published online: 15 May 2013

Citations (5)

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Read on this site (2)

Meisam Amani & Mohammad Reza Mobasheri. (2015) A parametric method for estimation of leaf area index using landsat ETM+ data. GIScience & Remote Sensing 52:4, pages 478-497.
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PavelA. Propastin, MartinW. Kappas, StefanieM. Herrmann & ComptonJ. Tucker. (2012) Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing. International Journal of Remote Sensing 33:5, pages 1465-1487.
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Articles from other publishers (3)

Najila Souza da Rocha, Bijeesh Kozhikkodan Veettil, Raymond David Ward, Juliana Costi & Silvia Beatriz Alves Rolim. (2023) Remote sensing of grasslands in the South American Pampas (scientometrics analysis) . Land Degradation & Development 34:10, pages 2723-2734.
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Martin Kappas, Pavel Propastin, Jan Degener & Tsolmon Renchin. (2015) Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan. Remote Sensing 7:4, pages 3760-3782.
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M. W. Kappas & P. A. Propastin. (2012) Review of Available Products of Leaf Area Index and Their Suitability over the Formerly Soviet Central Asia. Journal of Sensors 2012, pages 1-11.
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