西伯利亚森林制图的图像解译键

A. U. Karmazin
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引用次数: 0

摘要

本文描述了俄罗斯林学家在西西伯利亚托木斯克州一个试验田的大尺度空间照片上开发主要森林物种解释密钥的努力。更具体地说,这项工作涉及使用摄影图像的颜色、色调、纹理、结构、大小、形状和间接或上下文关键(地形特征)等特征来确定森林价值指数,如林分组成(暗针叶林、浅针叶林、阔叶林等)、林龄(年轻与年老)、冠层闭合(0.1-0.4、0.5-0.7和0.8-1.0)、生产力(产量等级I-IV、V-Va)、坡度和曝光。爱德华·托里(Edward Torrey)译自:《地理学报》2001年第1期,第118-120页。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMAGE INTERPRETATION KEYS FOR THE MAPPING OF SIBERIAN FORESTS
The paper describes efforts by Russian silviculturists to develop interpretation keys for principal forest species on large-scale space photographs of an experimental plot in Tomsk Oblast of West Siberia. More specifically, the effort involved using such features of the photographic images as color, tone, texture, structure, size, shape, and indirect or contextual keys (terrain features) to ascertain such forest valuation indices as stand composition (dark coniferous, light coniferous, broadleaved, etc.), stand age (young versus old), canopy closure (0.1-0.4, 0.5-0.7, and 0.8-1.0), productivity (yield classes I-IV, V-Va), and slope steepness and exposure. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2001, No. 1, pp. 118-120.
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