...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Applied Remote Sensing >Development of aboveground mangrove forests' biomass dataset for Southeast Asia based on ALOS-PALSAR 25-m mosaic
【24h】

Development of aboveground mangrove forests' biomass dataset for Southeast Asia based on ALOS-PALSAR 25-m mosaic

机译：基于ALOS-PALSAR 25-M MORAIC的东南亚地上红树林森林生物量数据集

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Southeast Asia (SEA) has the largest mangrove forest area in the world, which plays an important role in the global carbon cycle and is helping to mitigate climate change. In order to manage the mangrove forests in SEA, their total biomass needs to be determined. However, development of a biomass dataset based on field survey is time consuming. An aboveground biomass (AGB) dataset of mangrove forests was developed for SEA based on ALOS PALSAR 25-m mosaic. Specifically, ALOS-PALSAR 25-m images were first retrieved for SEA from the Kyoto and Carbon Initiative projects and then converted from a digital number to a normalized radar cross-section format in decibels. Samples of mangrove forests in SEA were collected as regions of interest from ALOS PALSAR data based on visual interpretation using Landsat data and Google Earth imagery. A rule-based classification method based on mangrove backscattering characteristics was then used to classify mangroves and nonmangroves in the region. Subsequently, an empirical model was adopted to estimate the AGB of the mangrove forests and an AGB dataset was developed. The results indicate that the spatial distribution of mangrove forests over SEA is 5 1 million hectares, and the estimated average AGB is 140.5 +/- 136.1 Mg/ha. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.
机译：东南亚（海）拥有世界上最大的红树林林区，在全球碳循环中起着重要作用，并有助于减轻气候变化。为了管理海洋中的红树林，需要确定它们的总生物质。然而，基于现场调查的生物质数据集的开发是耗时的。基于Alos Palsar 25-M Mosaic开发了红树林森林的地上生物量（AGB）数据集。具体地，首先从京都和碳倡议项目检索海上的Alos-Palsar 25-M图像，然后从数字数字转换为分贝中的标准化雷达横截面格式。根据使用Landsat数据和Google地球图像的视觉解释，将海上红树林的样本作为来自Alos Palsar数据的地区。然后，使用基于红树林反向散射特性的基于规则的分类方法来对该区域中的红树林和非商行进行分类。随后，采用经验模型来估计红树林森林的AGB，并开发了AGB数据集。结果表明，海洋海洋红叶林的空间分布是500万公顷，估计的平均AGB是140.5 +/- 136.1毫克/公顷。 （c）作者。由SPIE出版，根据创意公约归因于4.0未受平许可。

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