首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >REMOTELY SENSED INDICATORS OF HABITAT HETEROGENEITY - USE OF SYNTHETIC APERTURE RADAR IN MAPPING VEGETATION STRUCTURE AND BIRD HABITAT
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REMOTELY SENSED INDICATORS OF HABITAT HETEROGENEITY - USE OF SYNTHETIC APERTURE RADAR IN MAPPING VEGETATION STRUCTURE AND BIRD HABITAT

机译:栖息地非均质性的遥感指标-综合孔径雷达在映射植被结构和鸟类栖息地中的应用。

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All integrated remote sensing/field ecology project linked the use of synthetic aperture radar (SAR) and aerial photography to studies of landscape spatial heterogeneity and bird community ecology. P-, L-, and C-band SAR data, collected over a section of Kakadu National Park in Australia's Northern Territory during the Joint NASA/Australia DC-8 data acquisition campaign, were analyzed in light of field data integrating vegetation structure and floristics with bird abundances across a heterogeneous study site. Results indicate that SAR data are able to discern structural differences relevant to bird habitat quality within floristically homogeneous stands, while multispectral sensors successfully identified floristic differences among habitat types. Simplifying indices of bird diversity showed ambiguous changes across the site; however, the abundances of individual species were observed to change significantly across both floristic and structural gradients. These results suggest that efforts to map bird diversity should focus on species-specific habitat relationships and that some measure of vegetation structure is needed to understand bird habitat. The approach employed here advances the use of SAR data in the three-dimensional mapping of animal habitats from remotely sensed data, and extends current capabilities for mapping and modeling large-scale patterns in the distribution of biological diversity. (C) Elsevier Science Inc., 1997. [References: 33]
机译:所有集成的遥感/野外生态项目均将合成孔径雷达(SAR)和航拍技术的使用与景观空间异质性和鸟类群落生态的研究联系在一起。根据结合植被结构和植物区系的野外数据,分析了在澳大利亚北部地区卡卡杜国家公园的一部分中,在联合NASA /澳大利亚DC-8数据采集活动期间收集的P,L和C波段SAR数据。在一个异类研究地点分布着很多鸟类。结果表明,SAR数据能够辨别与植物同质的立场内鸟类栖息地质量相关的结构差异,而多光谱传感器成功地识别出栖息地类型之间的植物学差异。鸟类多样性指数的简化显示了整个地点的模棱两可变化。然而,观察到单个物种的丰度在植物和结构梯度上都发生了显着变化。这些结果表明,绘制鸟类多样性图谱的工作应侧重于特定物种的栖息地关系,并且需要某种植被结构措施来了解鸟类的栖息地。本文采用的方法促进了SAR数据在来自遥感数据的动物栖息地的三维映射中的使用,并扩展了当前在生物多样性分布中对大规模模式进行映射和建模的能力。 (C)Elsevier Science Inc.,1997年。[参考:33]

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