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Original Articles

Quantification of grassland properties: how it can benefit from geoinformatic technologies?

Pages 1351-1365 | Received 03 Feb 2005, Accepted 09 Nov 2005, Published online: 22 Feb 2007

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S. Shimada, J. Matsumoto, A. Sekiyama, B. Aosier & M. Yokohana. (2012) A new spectral index to detect Poaceae grass abundance in Mongolian grasslands. Advances in Space Research 50:9, pages 1266-1273.
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Yichun Xie & Zongyao Sha. (2012) Quantitative Analysis of Driving Factors of Grassland Degradation: A Case Study in Xilin River Basin, Inner Mongolia. The Scientific World Journal 2012, pages 1-14.
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V. G. Kakani & K. R. Reddy. (2010) MINERAL DEFICIENCY STRESS: Reflectance Properties, Leaf Photosynthesis and Growth of Nitrogen Deficient Big Bluestem ( Andropogon gerardii ) . Journal of Agronomy and Crop Science 196:5, pages 379-390.
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Hao Zhang, Hao Hu, Xu-guo Yao, Ke-feng Zheng & Yi Gan. (2009) Estimation of Above-Ground Biomass Using HJ-1 Hyperspectral Images in Hangzhou Bay, China. Estimation of Above-Ground Biomass Using HJ-1 Hyperspectral Images in Hangzhou Bay, China.
Yichun Xie, Zongyao Sha, Mei Yu, Yongfei Bai & Lei Zhang. (2009) A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China. Ecological Modelling 220:15, pages 1810-1818.
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F. Baffetta, G. Bacaro, L. Fattorini, D. Rocchini & A. Chiarucci. (2007) Multi-stage cluster sampling for estimating average species richness at different spatial grains. Community Ecology 8:1, pages 119-127.
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