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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/101302


    題名: Very high resolution plant community mapping at high moor, Kushiro wetland
    作者: 蔡富安;Yoshino, Kunihiko;Kawaguchi, Sayuri;Kanda, Fusayuki;Kushida, Keiji;Tsai, Fuan
    貢獻者: 太空及遙測研究中心
    關鍵詞: aerial photography;Animal, plant and microbial ecology;Applied geophysics;Biological and medical sciences;cameras;Communities;Earth sciences;Earth, ocean, space;ecosystems;Exact sciences and technology;Fundamental and applied biological sciences. Psychology;General aspects. Techniques;High resolution;Internal geophysics;Japan;Monitoring;plant communities;Plants (organisms);Remote sensing;Spatial resolution;summer;Teledetection and vegetation maps;Vegetation;wetland plants;Wetlands
    日期: 2014-01-01
    上傳時間: 2026-04-21 14:29:49 (UTC+8)
    出版者: American Society for Photogrammetry and Remote Sensing;Bethesda, MD: American Society for Photogrammetry and Remote Sensing
    摘要: 摘要: Frequent monitoring of the state of wetlands is important in order to sustain these valuable ecosystems. Reliable reference maps make this monitoring more effective. A very high resolution and reliable vegetation map with a nominal spatial resolution of 2 cm by 2 cm was created for a study area in the high moor in the Kushiro wetland, Japan. The reference map was created using aerial photography recorded in the summer of 1998 with a 35 mm, non-metric camera mounted on a balloon. The study site contains 40 wetland plant community types covering about 10 ha of the high moor. The resulting map shows that belt-like spatial patterns of typical wetland plant community groups can be clearly distinguished and confirmed through visual interpretation and spatial pattern analysis. The optimal spatial resolution for monitoring vegetation in this area using remote sensing is 0.3 m or smaller.
    出版者: Bethesda, MD: American Society for Photogrammetry and Remote Sensing
    出版日期: 2014-09-01
    出處: Photogrammetric Engineering & Remote Sensing, 2014-09, Vol.80 (9), p.895-905
    版權: 2015 INIST-CNRS
    識別號: ISSN: 0099-1112
    識別號: ISSN: 2374-8079
    識別號: DOI: 10.14358/PERS.80.9.895
    識別號: CODEN: PERSDV
    顯示於類別:[太空及遙測研究中心] 期刊論文

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