{"_buckets": {"deposit": "e5b1e569-9016-4d69-80b9-6443819c21de"}, "_deposit": {"id": "4367", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "4367"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00004367", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019-02"}, "bibliographicPageEnd": "339", "bibliographicPageStart": "316", "bibliographicVolumeNumber": "221", "bibliographic_titles": [{"bibliographic_title": "Remote Sensing of Environment", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "REMOTE SENSING OF ENVIRONMENT", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Urban morphology and aerodynamic roughness parameters are derived from three global digital elevation models (GDEM): Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Shuttle Radar Topography Mission (SRTM), and TanDEM-X. Initially, each is compared to benchmark elevation data in London (UK). A moving window is used to extract ground heights from the GDEMs, generating terrain models with root mean -square accuracy of up to 3 m. Subtraction of the ground heights extracted from each GDEM provides roughness-element heights only, allowing for calculation of morphology parameters. The parameters are calculated for eight directional sectors of 1 km grid-squares. Apparent merging of roughness elements in all GDEMs causes height-based parameter underestimation, whilst plan and frontal areas are over- and under-estimated, respectively. Combined, these lead to an underestimation of morphometrically-derived aerodynamic roughness parameters. Parameter errors are least for the TanDEM-X data. Further comparison in five cities (Auckland, Greater London, New York, Sao Paulo, Tokyo) provides basis for empirical corrections to TanDEM-X-derived geometric parameters. These reduce the error in parameters across the cities and for a separate location. Meteorological observations in central London give insight to wind-speed estimation accuracy using roughness parameters from the different elevation databases. The proposed corrections to TanDEM-X parameters lead to improved wind-speed estimates, which combined with the improved spatial representation of parameters across cities demonstrates their potential for use in future studies.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "ELSEVIER SCIENCE INC", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1016/j.rse.2018.09.024"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1879-0704", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Kent Christoph W.", "creatorNameLang": "ja"}, {"creatorName": "Christoph W. Kent", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Grimmond Sue", "creatorNameLang": "ja"}, {"creatorName": "Sue Grimmond", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Gatey David", "creatorNameLang": "ja"}, {"creatorName": "David Gatey", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Hirano Kohin", "creatorNameLang": "ja"}, {"creatorName": "Kohin Hirano", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "全球数値標高モデルからの都市形態パラメータ:空力的粗さと風速推定のための意味【JST・京大機械翻訳】", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "全球数値標高モデルからの都市形態パラメータ:空力的粗さと風速推定のための意味【JST・京大機械翻訳】", "subitem_title_language": "ja"}, {"subitem_title": "Urban morphology parameters from global digital elevation models: Implications for aerodynamic roughness and for wind-speed estimation", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/4367", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "4367", "relation": {}, "relation_version_is_last": true, "title": ["全球数値標高モデルからの都市形態パラメータ:空力的粗さと風速推定のための意味【JST・京大機械翻訳】"], "weko_shared_id": -1}