{"created":"2024-08-20T00:27:03.783756+00:00","id":2000849,"links":{},"metadata":{"_buckets":{"deposit":"74788ede-d2f4-470c-bfa9-26530e40197e"},"_deposit":{"created_by":15,"id":"2000849","owner":"15","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"2000849"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:02000849","sets":["366:640:641:1706490217911"]},"author_link":[],"item_7_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-03","bibliographicIssueDateType":"Issued"}}]},"item_7_contributor_61":{"attribute_name":"修士論文指導教員","attribute_value_mlt":[{"contributorNames":[{"contributorName":"松岡, 真如","lang":"ja"}]}]},"item_7_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_7_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Vegetation coverage is a crucial parameter in agriculture, as it offers essential insights into crop growth and health conditions. The spatial resolution of spaceborne sensors is relatively limited, making it challenging to precisely measure vegetation coverage. Consequently, fine-resolution ground observation data becomes indispensable for establishing the correlation between remotely sensed reflectance and plant coverage. This study estimated rice plant coverage per pixel using time series Sentinel-2 Multispectral Instrument (MSI) data, which enables monitoring rice growth conditions over a wide area. Rice plant coverage was calculated using Unmanned Aerial Vehicle (UAV) data with a spatial resolution of 3 cm based on the spectral unmixing method. This plant coverage map was generated every two to three weeks throughout the rice growing season. Subsequently, the plant coverage was estimated at a 10 m resolution through the multiple linear regression, utilizing Sentinel-2 MSI reflectance data and these plant coverage maps. In this process, a geometric registration of MSI and UAV data was conducted to improve their spatial agreement. The coefficient of determination (R²) of the multiple linear regression model was 0.92 and 0.94 for the Level-1C and Level-2A products of Sentinel-2 MSI, respectively. The root mean squared error (RMSE) of the estimated rice plant coverage was 10.77% and 9.34%, respectively. This study highlights the potential of a satellite time series model for accurate estimation of rice plant coverage.","subitem_description_type":"Abstract"}]},"item_7_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"三重大学 大学院工学研究科 情報工学専攻 データサイエンス研究室","subitem_description_type":"Other"},{"subitem_description":"37p","subitem_description_type":"Other"}]},"item_7_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"三重大学"}]},"item_7_text_31":{"attribute_name":"出版者（ヨミ）","attribute_value_mlt":[{"subitem_text_value":"ミエダイガク"}]},"item_7_text_65":{"attribute_name":"資源タイプ（三重大）","attribute_value_mlt":[{"subitem_text_value":"Master's Thesis / 修士論文"}]},"item_7_version_type_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 優気","creatorNameLang":"ja"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-08-20"}],"filename":"2023ME0203.pdf","filesize":[{"value":"12.2 MB"}],"format":"application/pdf","url":{"label":"2023ME0203.pdf","url":"https://mie-u.repo.nii.ac.jp/record/2000849/files/2023ME0203.pdf"},"version_id":"ebb189f9-0345-45bf-9920-f6e7c70205fa"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"unmanned aerial vehicle (UAV)","subitem_subject_scheme":"Other"},{"subitem_subject":"Sentinel-2 multispectral instrument (MSI)","subitem_subject_scheme":"Other"},{"subitem_subject":"paddy field","subitem_subject_scheme":"Other"},{"subitem_subject":"rice plant coverage","subitem_subject_scheme":"Other"},{"subitem_subject":"mixed pixel analysis","subitem_subject_scheme":"Other"}]},"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":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Estimation of rice plant coverage using Sentinel-2 based on UAV-observed data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Estimation of rice plant coverage using Sentinel-2 based on UAV-observed data","subitem_title_language":"en"}]},"item_type_id":"7","owner":"15","path":["1706490217911"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-08-20"},"publish_date":"2024-08-20","publish_status":"0","recid":"2000849","relation_version_is_last":true,"title":["Estimation of rice plant coverage using Sentinel-2 based on UAV-observed data"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2024-08-20T00:37:09.145798+00:00"}