【24h】

Mapping vegetation structure for biodiversity analysis using synthetic aperture radar

机译:使用合成孔径雷达绘制植被结构图以进行生物多样性分析

获取原文

摘要

An integrated remote sensing/field ecology project was carried out to link the use of synthetic aperture radar (SAR) and other remotely sensed data to studies of landscape spatial heterogeneity and bird community ecology as a first step toward applications in predicting biodiversity. P-, L-, and C-band SAR data were collected over a section of the South Alligator River in Kakadu National Park in Australia's Northern Territory as part of the Joint NASA/Australia DC-8 AIRSAR data acquisition campaign in 1993 and the NASA/PACRIM AIRSAR deployment in 1996. The SAR data were analyzed with field data integrating vegetation structure and floristics with bird abundances across a heterogeneous study site that spanned several abrupt habitat edges. 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.
机译:开展了一个综合的遥感/野外生态项目,将合成孔径雷达(SAR)和其他遥感数据的使用与景观空间异质性和鸟类群落生态学研究联系起来,这是迈向预测生物多样性的第一步。 P波段,L波段和C波段SAR数据是在澳大利亚北领地卡卡杜国家公园的南鳄鱼河的一部分上采集的,这是1993年NASA /澳大利亚DC-8 AIRSAR联合数据采集运动和NASA的一部分/ PACRIM AIRSAR于1996年部署。SAR数据是通过跨异质研究站点(跨越多个生境边缘)的植被结构和植物区系以及鸟类丰度的野外数据进行分析的。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了栖息地类型之间的植物学差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号