{"created":"2023-06-20T14:54:18.858131+00:00","id":22632,"links":{},"metadata":{"_buckets":{"deposit":"eeba3d75-f30d-4c14-b769-94c38a05cb3f"},"_deposit":{"created_by":1,"id":"22632","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"22632"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00022632","sets":["1887:1888"]},"author_link":["211967","211965","211966","211968","211974","211970","211964","211969","211971","211973","211972","211975"],"item_7_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-11-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"24","bibliographicPageEnd":"1462","bibliographicPageStart":"1442","bibliographicVolumeNumber":"23","bibliographic_titles":[{},{"bibliographic_title":"Optics Express","bibliographic_titleLang":"en"}]}]},"item_7_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"A new retrieval algorithm for estimation of snow grain size and impurity concentration from spectral radiation data is developed for remote sensing applications. A radiative transfer (RT) model for the coupled atmosphere-snow system is used as a forward model. This model simulates spectral radiant quantities for visible and near-infrared channels. The forward RT calculation is, however, the most time-consuming part of the forward-inverse modeling. Therefore, we replaced it with a neural network (NN) function for fast computation of radiances and Jacobians. The retrieval scheme is based on an optimal estimation method with a priori constraints. The NN function was also employed to obtain an accurate first guess in the retrieval scheme. Validation with simulation data shows that a combination of NN techniques and optimal estimation method can provide more accurate retrievals than by using only NN techniques. In addition, validation with in-situ measurements conducted by using ground-based spectral radiometer system shows that comparison between retrieved snow parameters with in-situ measurements is acceptable with satisfactory accuracy. The algorithm provides simultaneous, accurate and fast retrieval of the snow properties. The algorithm presented here is useful for airborne/satellite remote sensing.","subitem_description_type":"Other"}]},"item_7_description_18":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"形態: カラー図版あり","subitem_description_type":"Other"}]},"item_7_description_19":{"attribute_name":"内容記述（英）","attribute_value_mlt":[{"subitem_description":"Physical characteristics: Original contains color illustrations","subitem_description_type":"Other"}]},"item_7_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: PA1610001000","subitem_description_type":"Other"}]},"item_7_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"The Optical Society"}]},"item_7_relation_25":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"info:doi/10.1364/OE.23.0A1442"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1364/OE.23.0A1442","subitem_relation_type_select":"DOI"}}]},"item_7_source_id_21":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1094-4087","subitem_source_identifier_type":"ISSN"}]},"item_7_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"宇宙航空研究開発機構地球観測研究センター(JAXA)(EORC): 気象庁気象研究所気候研究部"},{"subitem_text_value":"スティーブンス工科大学"},{"subitem_text_value":"気象庁気象研究所気候研究部"},{"subitem_text_value":"気象庁気象研究所気候研究部"},{"subitem_text_value":"宇宙航空研究開発機構地球観測研究センター(JAXA)(EORC)"},{"subitem_text_value":"スティーブンス工科大学"}]},"item_7_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Eerth Observation Research Center, Japan Aerospace Exploration Agency (JAXA)(EORC): Climate Research Department, Meteorological Research Institute"},{"subitem_text_language":"en","subitem_text_value":"Stevens Institute of Technology"},{"subitem_text_language":"en","subitem_text_value":"Climate Research Department, Meteorological Research Institute"},{"subitem_text_language":"en","subitem_text_value":"Climate Research Department, Meteorological Research Institute"},{"subitem_text_language":"en","subitem_text_value":"Eerth Observation Research Center, Japan Aerospace Exploration Agency (JAXA)(EORC)"},{"subitem_text_language":"en","subitem_text_value":"Stevens Institute of Technology"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"谷川, 朋範"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Li, Wei"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"朽木, 勝幸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"青木, 輝夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀, 雅裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Stamnes, Knut"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tanikawa, Tomonori","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Wei, Li","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kuchiki, Katsuyuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Aoki, Teruo","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hori, Masahiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Stamnes, Knut","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Retrieval of snow physical parameters by neural networks and optimal estimation: case study for ground based spectral radiometer system","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Retrieval of snow physical parameters by neural networks and optimal estimation: case study for ground based spectral radiometer system","subitem_title_language":"en"}]},"item_type_id":"7","owner":"1","path":["1888"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-06-13"},"publish_date":"2016-06-13","publish_status":"0","recid":"22632","relation_version_is_last":true,"title":["Retrieval of snow physical parameters by neural networks and optimal estimation: case study for ground based spectral radiometer system"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-21T03:17:53.767637+00:00"}