首页> 外文期刊>Estuarine Coastal and Shelf Science >Mapping and assessing seagrass bed changes in Central Florida's west coast using multitemporal Landsat TM imagery
【24h】

Mapping and assessing seagrass bed changes in Central Florida's west coast using multitemporal Landsat TM imagery

机译:使用多时相Landsat TM影像绘制和评估佛罗里达州中部西海岸的海草床变化

获取原文
获取原文并翻译 | 示例
           

摘要

Some seagrass meadows in coastal shallow waters have displayed large scale changes in seagrass spatial extent and hurricanes and/or tropical storms have been suggested as factors responsible for reduction in coverage. Taking advantage of the incidence of three tropical storms passing near a study site along the central west Florida coast within a two-month period in 2004, we evaluated whether satellite remote sensing techniques (Landsat 5 Thematic Mapper (TM) imagery) are useful for assessing dynamics of seagrass (=submerged aquatic vegetation: SAV) cover/abundance in response to these multiple disturbances. We also examined whether an image preprocessing procedure, which included water column correction, applied to the Landsat TM images could further improve the classification and mapping of detailed SAV coverage. We compared a historical set of Landsat TM images, acquired in Fall 2003 and Fall and late Summer 2005, which were processed to classify %SAV cover into five classes using a maximum likelihood classifier. Importantly, our experimental results demonstrated that the application of the image preprocessing procedures led to an overall accuracy 2-14% improvement in SAV classification due to water column correction compared to that currently reported in the literature when similar Landsat TM data are utilized. Based upon the classification results mapped from the TM images and as well as a similar classification of SAV interpreted from aerial photographs collected before and after the passage of these same storms, SAV coverage over the study areas was found to increase about 6% (integrating SAV losses and gains) by 2005/2006 in comparison to cover levels present prior to the repeated storm activity. We conclude that heavy rains during 2004 along with physical disturbance from gale force winds from the tropical storms/hurricanes did not produce any SAV bed loss at the study site that was sustained for more than one year after multiple storm passage.
机译:沿海浅水区的一些海草草甸显示出海草空间范围的大规模变化,飓风和/或热带风暴被认为是造成覆盖率降低的因素。利用2004年两个月内在佛罗里达州中西部沿海一个研究地点附近经过的三场热带风暴的发生率,我们评估了卫星遥感技术(Landsat 5 Thematic Mapper(TM)影像)是否对评估有用对这些多重干扰的响应,海草的动态(=淹没的水生植被:SAV)的覆盖/丰度。我们还检查了应用于Landsat TM图像的图像预处理程序(包括水柱校正)是否可以进一步改善详细SAV覆盖率的分类和映射。我们比较了2003年秋季,2005年秋季和夏季末采集的Landsat TM历史图像集,这些图像经过处理后使用最大似然分类器将%SAV覆盖率分为五类。重要的是,我们的实验结果表明,与使用类似Landsat TM数据的文献中当前报道的结果相比,由于水柱校正,图像预处理程序的应用导致SAV分类的整体精度提高了2-14%。根据TM影像得出的分类结果,以及根据相同风暴经过前后收集的航空照片解释的SAV相似分类,发现研究区域的SAV覆盖率增加了6%(整合SAV与2005年至2006年的损失水平相比)。我们得出的结论是,在2004年期间的强降雨以及热带风暴/飓风造成的强风对物理干扰的影响下,研究地点并没有造成SAV床位损失,在多次风暴过后,该损失持续了一年以上。

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