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Original Articles

Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing

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Pages 1465-1487 | Received 21 Jan 2010, Accepted 29 Mar 2011, Published online: 08 Nov 2011

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J. Qi, J. Chen, R. Lafortezza & Z. Lin. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 186 201 .
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Christina Eisfelder, Igor Klein, Markus Niklaus & Claudia Kuenzer. (2014) Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables. Journal of Arid Environments 103, pages 17-30.
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C Eisfelder, I Klein, J Huth, M Niklaus & C Kuenzer. (2014) Spatio-temporal patterns and dynamics of net primary productivity for Kazakhstan. IOP Conference Series: Earth and Environmental Science 17, pages 012028.
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Feng Yan, Bo Wu & YanJiao Wang. (2013) Estimating aboveground biomass in Mu Us Sandy Land using Landsat spectral derived vegetation indices over the past 30 years. Journal of Arid Land 5:4, pages 521-530.
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Pavel Propastin. (2012) Multisensor Monitoring System for Assessment of Locust Hazard Risk in the Lake Balkhash Drainage Basin. Environmental Management 50:6, pages 1234-1246.
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Pavel Propastin & Martin Kappas. (2012) Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements. Remote Sensing 4:1, pages 220-246.
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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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