将人的维度纳入遥感影像分析:森林砍伐的空间模型

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293) Pub Date : 1999-12-01 DOI:10.1109/IGARSS.1999.774486

S. Tanaka, R. Nishii

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引用次数: 5

摘要

利用典型人口维度的网格元数据扩展森林覆盖遥感信息。作者以数学模型的明确形式证明了森林砍伐过程对人口有很强的依赖性。用赤池信息准则(Akaike’s information criterion, AIC)比较了该关系与其他可能关系对实际数据的相对适宜性。通过估算参数的比较，提出了区域森林环境评价的最佳模型。

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Incorporation of human dimension into the analysis of remotely-sensed images: a spatial model of deforestation

Remotely-sensed information of forest coverage was extended by applying grid-cell data in typical human dimension: population. The authors demonstrated that process of deforestation have strong dependence on human population in an explicit form of a mathematical model. Relative appropriateness to real data of the relation was compared with other possible relations by Akaike's information criterion (AIC). The authors propose to use the best model for evaluating regional forest environment through estimated parameter comparison.

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IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)

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