首页> 外文会议>International conference on remote sensing for marine and coastal environments >MAPPING EELGRASS SPECIES Zostera japonica AND Z. marina, ASSOCIATEDMACROALGAE AND EMERGENT AQUATIC VEGETATION HABITATS IN PACIFICNORTHWEST ESTUARIES USING NEAR-INFRARED COLOR AERIAL PHOTOGRAPHYAND A HYBRID IMAGE CLASSIFICATION TECHNIQUE
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MAPPING EELGRASS SPECIES Zostera japonica AND Z. marina, ASSOCIATEDMACROALGAE AND EMERGENT AQUATIC VEGETATION HABITATS IN PACIFICNORTHWEST ESTUARIES USING NEAR-INFRARED COLOR AERIAL PHOTOGRAPHYAND A HYBRID IMAGE CLASSIFICATION TECHNIQUE

机译:利用近红外彩色航空照相法和混合图像分类技术在太平洋西北口水域映射虾类和日本滨Z,相关的巨藻和新兴水生植物

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Aerial photographic surveys of Oregon's Yaquina Bay estuary were conducted duringconsecutive summers from 1997 through 2000. Imagery was obtained during low tide exposuresof intertidal mudflats, allowing use of near-infrared color film to detect and discriminate plantcommunities. Approximately 90 percent of submerged aquatic vegetation occurs in the intertidalzone at this latitude. The photographs were digitized and orthorectified for image analysis. Ahybrid image classification algorithm was developed to allow discrimination of intertidal habitatsdominated by the eelgrasses Zostera japonica and Z. marina, the green macroalgae Ulva spp.andEnteromorpha spp., the brown alga Fucus sp., unvegetated areas and various emergent upperintertidalreeds, grasses and sedges. Application of this algorithm has promise of allowinghabitat delineation and change analysis mapping at the sub-meter level over time in Pacific NWestuaries characterized by significant tidally-exposed habitats. Such changes are of interest inthe assessment of the influence of environmental stresses such as land use management practices(as a typical anthropogenic source), episodic weather events, and long-term (decadal) weathercycles on the resiliency of these plant communities.
机译:俄勒冈州Yaquina湾河口的航拍照片是在 从1997年到2000年连续连续夏季。在低潮期间拍摄了影像 潮间带滩涂,允许使用近红外彩色胶片来检测和区分植物 社区。大约90%的水下水生植被发生在潮间带 在此纬度下的区域。将照片数字化并进行正射校正以进行图像分析。一种 开发了混合图像分类算法以区分潮间带生境 以鳗鱼草Zostera japonica和Z. marina,绿色大型藻类Ulva spp。和为主 Enteromorpha spp。,棕色藻类Fucus sp。,无植被的地区和各种新生的上潮间带 芦苇,草和莎草。该算法的应用有望实现 西北太平洋亚米水平随时间变化的生境描述和变化分析图 以大量潮汐生境为特征的河口。这种变化是令人感兴趣的 评估土地使用管理实践等环境压力的影响 (作为典型的人为来源),突发性天气事件和长期(年代际)天气 这些植物群落的弹性循环。

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