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Original Articles

Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas

Pages 5031-5042 | Published online: 25 Nov 2010

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David Mfitumukiza, MwanjaloloJ.G. Majaliwa, Denis Mpairwe, MosesM. Tenywa, SandyS. Tickodri-Togboa & Frank Kansiime. (2013) Proxy quantification and mapping of seasonal rangeland herbage using grass cover in the cattle corridor of Uganda. Annals of GIS 19:2, pages 99-108.
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C Adjorlolo, O Mutanga, MA Cho & R Ismail. (2012) Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping. African Journal of Range & Forage Science 29:2, pages 47-61.
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Yun Chen & David Gillieson. (2009) Evaluation of Landsat TM vegetation indices for estimating vegetation cover on semi-arid rangelands: a case study from Australia. Canadian Journal of Remote Sensing 35:5, pages 435-446.
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L. M. Kiage, K.‐B. Liu, N. D. Walker, N. Lam & O. K. Huh. (2007) Recent land‐cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM+. International Journal of Remote Sensing 28:19, pages 4285-4309.
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D. Lu & Q. Weng. (2007) A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28:5, pages 823-870.
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NikolaosG. Silleos, ThomasK. Alexandridis, IoannisZ. Gitas & Konstantinos Perakis. (2006) Vegetation Indices: Advances Made in Biomass Estimation and Vegetation Monitoring in the Last 30 Years. Geocarto International 21:4, pages 21-28.
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