The quantitative interpretation of pasture image parameters: an experience of low and moderate spatial resolution remotely sensed data application
D.V. Malakhov, A.F. Islamgulova
Department of Space and Technology, 050010, Almaty, Shevchenko str., 15, Kazakhstan
Keywords: vegetation index, grass-cover, productivity, pasture condition
Abstract
The application of vegetation indices for the quantitative evaluation of basic pasture parameters (grass-cover, productivity, unpalatable grass, pasture degradation) is discussed for low and moderate resolution optical sensors. Each vegetation index was correlated with ground-truth data. The algorithm of pasture condition estimation was developed using highly correlated indices.
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