{"created":"2023-03-31T02:07:38.838486+00:00","id":4928,"links":{},"metadata":{"_buckets":{"deposit":"ce9f8d18-5fa2-4a82-a158-f538c06f0fef"},"_deposit":{"id":"4928","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"4928"},"status":"published"},"_oai":{"id":"oai:nied-repo.bosai.go.jp:00004928","sets":[]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"0","bibliographicPageEnd":"386","bibliographicPageStart":"381","bibliographicVolumeNumber":"26","bibliographic_titles":[{"bibliographic_title":"環境情報科学論文集","bibliographic_titleLang":"ja"},{"bibliographic_title":"Papers on Environmental Information Science","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"<tt>本研究では丘陵地における微地形と植生の関係を評価し，自然再生に供する情報を推定することを目的とした。微地形の区分には</tt>LIDAR<tt>（</tt>Laser Imaging Detection And Ranging<tt>）から生成した</tt>DEM <tt>を使用した。この</tt>DEM <tt>から傾斜角の変換線を抽出し，この変換線より微地形の区分を行った。この結果と現地測量による分類した微地形区分と比較し，分類精度を検討したところ，よく一致した。研究地域における毎木調査を行い，各微地形項目ごとにまとめ，各樹木の生活型を調べた。また，</tt>TWINSPAN <tt>により微地形区分に対応する木本植生生活型との関係を解析し，研究地域の植生と微地形の関係を明らかにした。</tt>","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":"In this study, we aimed to evaluate the relationship between Micro-Landform and vegetation in hilly area, and estimate the information to be offered to natural regeneration. The Micro-Landform was classified by using conversion line of the inclination angle from DEM generated from LIDAR (Laser Imaging Detection And Ranging). This result was compared with the Micro-Landform classified by the field measurement data, and the result indicated that two classification data were consistent with high accuracy. Furthermore, the life type of the trees in hilly area was investigated by summarizing the situation of the Micro-Landform classification after measurement of every tree in the study area. Finally, the relationship between vegetation type and Micro-Landform in the study area was revealed by analyzing the relationship between the Micro-Landform classified in this study and woody life type corresponds to the Micro-Landform classification using TWINSPAN.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"一般社団法人 環境情報科学センター","subitem_publisher_language":"ja"},{"subitem_publisher":"Center for Environmental Information Science","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.11492/ceispapers.ceis26.0_381"}}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0389-6633","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平 春","creatorNameLang":"ja"},{"creatorName":"BORJIGIN Habura","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"後藤 真太郎","creatorNameLang":"ja"},{"creatorName":"GOTO Shintaro","creatorNameLang":"en"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_title":"LIDAR により抽出した微地形と木本植生生活型の関係評価","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LIDAR により抽出した微地形と木本植生生活型の関係評価","subitem_title_language":"ja"},{"subitem_title":"Evaluation of The Relationship Between Woody Life Type and Micro-Landform Using LIDAR DEM","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"1","path":["1670839190650"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"4928","relation_version_is_last":true,"title":["LIDAR により抽出した微地形と木本植生生活型の関係評価"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-08T06:12:48.496818+00:00"}