Yalige Bai, Zhipeng Lin, Zhongpeng Han, Xinhang Wang, Chengshan Wang
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This study presents the datasets for the systematic distribution and spatial accumulation of unconsolidated sediments across the Yarlung Tsangpo River Basin, southern Tibet. Combining remotely sensed data with numerous field investigations, an integrated method based on image processing and kriging interpolation-pixel integration was performed to semi-automatically classify and quantify the unconsolidated sediments. Eleven categories of sediments were mapped and their total accumulation is estimated at approximately 4.97 × 10<sup>11</sup> t. Ultimately, 17 groups of classification and thickness maps were derived, revealing the distribution and volume of unconsolidated and Quaternary sediments. The datasets fill the gaps in comprehensive investigations of unconsolidated sediments for YTRB, and provide a fundamental database to support the scientific understanding of potential linkages between the distribution of unconsolidated sediments with environmental changes and human activities.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"452-464"},"PeriodicalIF":3.3000,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.221","citationCount":"0","resultStr":"{\"title\":\"Quaternary sediment datasets for spatial distribution and accumulation on the Yarlung Tsangpo River Basin based on remote sensing and field on-site measurements\",\"authors\":\"Yalige Bai, Zhipeng Lin, Zhongpeng Han, Xinhang Wang, Chengshan Wang\",\"doi\":\"10.1002/gdj3.221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Quaternary unconsolidated sediments are pronouncedly widespread features on the planetary surface, documenting significant geological signals of earth surface processes, climate change and biogeochemical cycles. The extensive unconsolidated deposits play a vital role in natural hazards and Anthropogenic activities, especially in alpine regions where massive unconsolidated materials are produced. However, the spatial distribution and total volume of unconsolidated sediments across the Yarlung Tsangpo River Basin (YTRB) remain largely unknown due to the limitation of traditional field surveys and on-site measurements as well as the complex landscape in the remote area. This study presents the datasets for the systematic distribution and spatial accumulation of unconsolidated sediments across the Yarlung Tsangpo River Basin, southern Tibet. Combining remotely sensed data with numerous field investigations, an integrated method based on image processing and kriging interpolation-pixel integration was performed to semi-automatically classify and quantify the unconsolidated sediments. Eleven categories of sediments were mapped and their total accumulation is estimated at approximately 4.97 × 10<sup>11</sup> t. Ultimately, 17 groups of classification and thickness maps were derived, revealing the distribution and volume of unconsolidated and Quaternary sediments. The datasets fill the gaps in comprehensive investigations of unconsolidated sediments for YTRB, and provide a fundamental database to support the scientific understanding of potential linkages between the distribution of unconsolidated sediments with environmental changes and human activities.</p>\",\"PeriodicalId\":54351,\"journal\":{\"name\":\"Geoscience Data Journal\",\"volume\":\"11 4\",\"pages\":\"452-464\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.221\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscience Data Journal\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.221\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.221","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Quaternary sediment datasets for spatial distribution and accumulation on the Yarlung Tsangpo River Basin based on remote sensing and field on-site measurements
Quaternary unconsolidated sediments are pronouncedly widespread features on the planetary surface, documenting significant geological signals of earth surface processes, climate change and biogeochemical cycles. The extensive unconsolidated deposits play a vital role in natural hazards and Anthropogenic activities, especially in alpine regions where massive unconsolidated materials are produced. However, the spatial distribution and total volume of unconsolidated sediments across the Yarlung Tsangpo River Basin (YTRB) remain largely unknown due to the limitation of traditional field surveys and on-site measurements as well as the complex landscape in the remote area. This study presents the datasets for the systematic distribution and spatial accumulation of unconsolidated sediments across the Yarlung Tsangpo River Basin, southern Tibet. Combining remotely sensed data with numerous field investigations, an integrated method based on image processing and kriging interpolation-pixel integration was performed to semi-automatically classify and quantify the unconsolidated sediments. Eleven categories of sediments were mapped and their total accumulation is estimated at approximately 4.97 × 1011 t. Ultimately, 17 groups of classification and thickness maps were derived, revealing the distribution and volume of unconsolidated and Quaternary sediments. The datasets fill the gaps in comprehensive investigations of unconsolidated sediments for YTRB, and provide a fundamental database to support the scientific understanding of potential linkages between the distribution of unconsolidated sediments with environmental changes and human activities.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.