{"created":"2023-03-31T01:51:48.791719+00:00","id":4367,"links":{},"metadata":{"_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"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"4367","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_creator_id":"1","weko_shared_id":-1},"updated":"2023-03-31T01:51:50.526816+00:00"}