How Can We Understand the Past from Now On? Three-Dimensional Modelling and Landscape Reconstruction of the Shuanghuaishu Site in the Central Plains of China.

Saved in:
Bibliographic Details
Title: How Can We Understand the Past from Now On? Three-Dimensional Modelling and Landscape Reconstruction of the Shuanghuaishu Site in the Central Plains of China.
Authors: Chen, Guolong1,2 (AUTHOR) chenguolong19@mails.ucas.ac.cn, Yang, Ruixia1,2 (AUTHOR) yangrx@aircas.ac.cn, Lu, Peng3 (AUTHOR) lupeng@igs-has.cn, Chen, Panpan3 (AUTHOR) chenpanpan@igs-has.cn, Gu, Wanfa4 (AUTHOR) guwanfa@igs-has.cn, Wang, Xu4 (AUTHOR) wangxu@igs-has.cn, Hu, Yayi4 (AUTHOR) huyayi@igs-has.cn, Zhang, Jiqin4 (AUTHOR) zhangjiqin@igs-has.cn
Source: Remote Sensing. Mar2022, Vol. 14 Issue 5, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 155734620
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: How Can We Understand the Past from Now On? Three-Dimensional Modelling and Landscape Reconstruction of the Shuanghuaishu Site in the Central Plains of China.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Guolong%22">Chen, Guolong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> chenguolong19@mails.ucas.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Ruixia%22">Yang, Ruixia</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yangrx@aircas.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Peng%22">Lu, Peng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> lupeng@igs-has.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Panpan%22">Chen, Panpan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> chenpanpan@igs-has.cn</i><br /><searchLink fieldCode="AR" term="%22Gu%2C+Wanfa%22">Gu, Wanfa</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> guwanfa@igs-has.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xu%22">Wang, Xu</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> wangxu@igs-has.cn</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Yayi%22">Hu, Yayi</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> huyayi@igs-has.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiqin%22">Zhang, Jiqin</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> zhangjiqin@igs-has.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Mar2022, Vol. 14 Issue 5, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155734620
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs14051233
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: How Can We Understand the Past from Now On? Three-Dimensional Modelling and Landscape Reconstruction of the Shuanghuaishu Site in the Central Plains of China.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Guolong
      – PersonEntity:
          Name:
            NameFull: Yang, Ruixia
      – PersonEntity:
          Name:
            NameFull: Lu, Peng
      – PersonEntity:
          Name:
            NameFull: Chen, Panpan
      – PersonEntity:
          Name:
            NameFull: Gu, Wanfa
      – PersonEntity:
          Name:
            NameFull: Wang, Xu
      – PersonEntity:
          Name:
            NameFull: Hu, Yayi
      – PersonEntity:
          Name:
            NameFull: Zhang, Jiqin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1