遇见数据集

Vegetation - Fallbrook Naval Weapons Station [ds2958]

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ArcGIS Hub2026-06-15 更新2026-07-05 收录
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This mapping effort was conducted following the guidelines described in Vegetation Mapping Protocol for Naval Weapons Station Seal Beach Detachment Fallbrook ("Protocol"; USDON 2017). Four-band (color with color IR) aerial images were collected by GeoTerra, Inc. during June 20 and 21, 2015. All flight plans and airspace access were authorized through Marine Corps Base Camp Pendleton Range Control (Longrifle). All image acquisition, processing, and ortho-rectification were conducted by GeoTerra, Inc. Final orthophotos were delivered with a resolution of 0.25 foot. This set of images served as the visual layer for photo-interpretation. The classification was generated by AECOM. AECOM conducted vegetation sampling consistent with NVC Standard methods throughout NWSSB-DF to define the subset of alliances and associations that occurred within the mapping area. Further details, and the full classification, can be found in Vegetation Mapping Protocol for Naval Weapons Station Seal Beach Detachment Fallbrook ("Protocol"; USDON 2017). No thematic accuracy assessment was performed, however field verification was conducted to establish photo-signature training for each alliance and association. Approximately 37% (accounting for 67% of the total mapped area) of all polygons and vegetation assignments were field verified. A minimum mapping unit (MMU) of 0.25 hectare was used.

本次植被制图工作严格遵循《海军武器站海豹滩分队福尔布鲁克植被制图规程》(Vegetation Mapping Protocol for Naval Weapons Station Seal Beach Detachment Fallbrook,以下简称《规程》;美国国防部2017年版)中规定的流程开展。2015年6月20日至21日,GeoTerra公司(GeoTerra, Inc.)采集了四波段(彩色+彩色红外)航空影像。所有飞行计划及空域使用申请均通过彭德尔顿海军陆战队基地靶场管理部门(Longrifle)获批。全部影像采集、处理及正射校正工作均由GeoTerra公司完成。最终交付的正射影像分辨率为0.25英尺。该套影像作为目视解译的可视化基底图层。本次植被分类由AECOM公司完成。AECOM公司在整个海军武器站海豹滩分队福尔布鲁克(NWSSB-DF)制图范围内,采用符合《国家植被分类标准》(National Vegetation Classification, NVC)的方法开展植被采样,以明确制图范围内存在的群丛联盟与群丛类型子集。更多细节及完整分类结果可参阅《海军武器站海豹滩分队福尔布鲁克植被制图规程》(《规程》;美国国防部2017年版)。本次未开展专题精度评估,但已完成野外验证工作,为每一类群丛联盟与群丛建立影像特征解译训练样本。约37%的矢量多边形及植被分类赋值结果完成了野外验证,其覆盖区域占总制图面积的67%。本次制图采用的最小制图单元(minimum mapping unit, MMU)为0.25公顷。

创建时间:
2022-01-10
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