Modeling the Accuracy of Multispectral Remote Sensing Methods in Determining the Density of Forest Green Phytomass

V. V. Kozoderov, V. Kosolapov
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Abstract

A general approach is proposed for determining the quantity of green phytomass of different classes of forest vegetation on the basis of multispectral remote sensing data without invoking any additional information on the investigated objects. The basis for a solution of this problem is a functional description of the solar radiation emanating from a forest community as a function of the characteristic properties of the studied forest ecosystems, as well as sun and instrument viewing angles from space at medium to high spatial resolution.
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多光谱遥感方法测定森林绿色植物密度的精度建模
提出了一种基于多光谱遥感数据确定不同类型森林植被的绿色植物质的一般方法,而无需调用任何关于调查对象的附加信息。解决这一问题的基础是对森林群落发出的太阳辐射的功能描述,作为所研究的森林生态系统特性的函数,以及太阳和仪器在中至高空间分辨率下从空间观测的角度。
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