Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River
收藏USGS-Science Data Catalog2026-03-28 收录
下载链接:
https://data.usgs.gov/datacatalog/data/USGS:5f329cb382cee144fb30dd19
下载链接
链接失效反馈官方服务:
资源简介:
As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
作为密西西比河上游修复计划(Upper Mississippi River Restoration, UMRR)的一部分,美国陆军工程兵团(U.S. Army Corps of Engineers, USACE)正开展一项研究,以明确驱动洪泛区森林自然更新的环境因素。本数据集借助激光雷达(LiDAR)衍生数据,对密西西比河与伊利诺伊河选定河段的森林冠层间隙开展识别工作。美国陆军工程兵团将依托该数据集遴选野外样地,用于采集森林冠层间隙的野外数据。本数据集同时将作为长期森林冠层间隙研究的基准数据集。
创建时间:
2026-03-28



