Archaeological site predictive models based on DEM and multi-spectral remote sensing data on the pre-Qin sites in the Loess Plateau of East Gansu Province

Hai ZHANG; Yijing XU; Jing ZHOU

doi:10.11834/jrs.20211133

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Archaeological site predictive models based on DEM and multi-spectral remote sensing data on the pre-Qin sites in the Loess Plateau of East Gansu Province
Vol. 25, Issue 12, Pages: 2396-2408(2021)
Received：20 March 2021，

Published：07 December 2021
DOI： 10.11834/jrs.20211133
稿件说明：

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张海，徐艺菁，周静.2021.陇东先秦遗址多光谱遥感与遗址预测模型研究.遥感学报，25（12）： 2396-2408 DOI： 10.11834/jrs.20211133.

Zhang H，Xu Y J and Zhou J. 2021. Archaeological site predictive models based on DEM and multi-spectral remote sensing data on the pre-Qin sites in the Loess Plateau of East Gansu Province. National Remote Sensing Bulletin， 25（12）：2396-2408 DOI： 10.11834/jrs.20211133.

摘要

考古遗址预测模型（SPM）在考古学研究和文化资源管理中有着广泛的应用，但传统的构建方法过度依赖数字高程模型（DEM），对多光谱遥感数据的应用较少。本项研究以陇东黄土高原地区的区域考古调查为例，利用第三次全国文物普查数据、商业DEM数据和Landsat 8 OLI多光谱遥感数据，构建3种考古遗址预测模型（DEM模型、多光谱遥感模型和混合模型）。研究表明，黄土高原地区先秦遗址分布对坡向、纵向曲率、地形开阔度等地貌因素具有明显的相关性，而引入主成因素分析法（PCA）提取的多光谱因子不仅可以有效提高单纯基于DEM派生数据构建的遗址预测模型的精度和预测效率，而且还能够很好地改善遗址预测模型的空间结构，增强遗址预测模型的应用效果。基于上述混合模型的分析，陇东黄土高原地区先秦时期的土地资源开发，从仰韶文化时期的不足10%，迅速提升至龙山文化时期的43.1%，先秦时期整体达到了57.3%的规模，土地资源的加速开发奠定了该地区早期文明发展的基础。

Abstract

This paper aims to explore a new method on the traditional archaeological Site Predictive Model (SPM) by integrating Multi-Spectral Remote Sensing (MSRS) resources. The application on the case study from the Loess Plateau of east Gansu Province shows great prospect of the combination of SPM and MSRS on the regional archaeological studies and cultural resource managements.

The SPM is a useful statistic model in archaeological research and cultural heritage management practices. Previous archaeological applications of the SPMs relied heavily on the Digital Elevation Model (DEM) while overlooked the MSRS. This research attempts to integrate the MSRS

mainly the Landsat 8 OLI data

into the SPMs to increase the model’s predicting efficiency and to acquire high-quality predictive models

which can be used to evaluate the ancient land use degree in statistics.

This research compares three SPMs that were based on the DEM-derived terrain factors

the factors from MSRS

and the mixed factors. The terrain factors include the following. First

the landform indices

such as slope

aspect

curvature

texture

and convexity. Second

the hydrological indices

such as channel network base level

valley depth

and vertical distance to rivers. Third

the topographic position indices

such as relative slope

topographic openness

and wind exposition. The MSRS factors are derived by the reduction of the PCA method on Landsat 8 OLI’s band 1—7. The mixed factors are the combination of terrain and MSRS factors totally. Archaeological data dated to the pre-Qin period from the systematic archaeological survey in east Gansu Province are incorporated into the three SPMs by using the Logistic Regression provided by

Kvamme (1983)

and AIC gradient optimization. Three assessment indices

including Goodness-of-Fit

AIC

and

value are calculated to test the three models on their predictive effects. Two spatial analysis methods

including cross raster statistics and cross PCF on sites vs. models are incorporated to evaluate the models on their spatial structures.

The comparison of the three models indicates that the MSRS can significantly improve the validity of the modular prediction with the greater

(model1=0.265

model2=0.312

model3=0.414)

value (model1=0.51

model2=0.61

model3=0.64) and smaller

AIC

(model1=444.6

model2=420.0

model3=379.1). Meanwhile

models that combined MSRS data can achieve a better spatial structure than the DEM. Further analysis based on the mixed SPM (model3) indicates that the total land-use areas in the eastern part of the Loess Plateau increased from less than 10% during the Yangshao period to up to 43.1% during the Longshan period. The latter laid a solid foundation for the development of social complexity in the Pre-Qin period. The analysis on the MSRS-based model also reveals that the combination of bands 5-2-1 in OLI can provide more information on ancient sites.

The land-use of Loess Plateau in east Gansu Province has demonstrated strong continuity since the prehistoric period. Thus

the modern multi-spectral remote sensing data can be well utilized into traditional archaeological site predictive model not least to improve its spatial structure and raise the model’s efficiency. Landsat 8 OLI can provide effective multi-spectral data for site identification and land-use classification. The band 5 of OLI potentially contains information on archaeological sites

which must be studied further.

关键词

Keywords

references

Bevan A , Crema E R , Li X Z and Palmisano A . 2013 . Intensities, interactions, and uncertainties: some new approaches to archaeological distributions //Bevan A, Lake M, eds. Computational Approaches to Archaeological Spaces . Walnut Creek : Left Coast Press : 27 - 52

Boots B N and Getis A . 1988 . Point Pattern Analysis. Newbury Park, CA: SAGE

Chao Z F , Xing X N and Kang S X . 2017 . Study on optional bands combination of OLI image in land use classification . Hubei Agricultural Sciences , 56 ( 8 ): 1567 - 1569

晁增福 , 邢小宁 , 康顺光 . 2010 . 土地利用分类中OLI影像合成最佳波段组合研究 . 湖北农业科学 , 56 ( 8 ): 1567- 1569 [ DOI: 10.14088/j.cnki.issn0439-8114.2017.08.042 http://dx.doi.org/10.14088/j.cnki.issn0439-8114.2017.08.042 ]

Chu S B . 1977 . The Western Zhou tombs at Lingtai Baicaopo, Gansu Province . Acta Archaeologica Sinica , 22 ( 2 ): 99 - 130

初仕宾 . 1977 . 甘肃灵台白草坡西周墓 . 考古学报 , 22 ( 2 ): 99 - 130

Conrad O , Bechtel B , Bock M , Dietrich H , Fischer E , Gerlitz L , Wehberg J , Wichmann V and Böhner J . 2015 . System for automated geoscientific analyses (SAGA) v . 2 .1.4. Geoscientific Model Development , 8 ( 7 ): 1991 - 2007 [ DOI: 10.5194/gmd-8-1991-2015 http://dx.doi.org/10.5194/gmd-8-1991-2015 ]

Custer J F , Eveleigh T , Klemas V and Wells I . 1986 . Application of landsat data and synoptic remote sensing to predictive models for prehistoric archaeological sites: an example from the delaware coastal plain . American Antiquity , 51 ( 3 ): 572 - 588 [ DOI: 10.2307/281753 http://dx.doi.org/10.2307/281753 ]

Dong Z and Jin S Z . 2015 . Prediction research on Bohai Kingdom ruins in Yanbian area based on the logic regression model . Journal of Yanbian University (Natural Science) , 41 ( 2 ): 179 - 184

董振 , 金石柱 . 2015 . 基于Logistic回归模型的延边地区渤海国遗址预测研究 . 延边大学学报(自然科学版) , 41 ( 2 ): 179- 184 [ DOI: 10.3969/j.issn.1004-4353.2015.02.018 http://dx.doi.org/10.3969/j.issn.1004-4353.2015.02.018 ]

Green E L . 1973 . Location analysis of prehistoric Maya sites in northern British Honduras . American Antiquity , 38 ( 3 ): 279 - 293 [ DOI: 10.2307/279715 http://dx.doi.org/10.2307/279715 ]

Guo F . 2018 . Study of Archaeology Sites Predictive Distribution based on Logistic Regression Optimization Method—A Case Study of Fenhe River Basin . Beijing : Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

郭飞 . 2018 . 基于Logistic回归最优化方法的遗址预测分布研究——以汾河流域为例 . 北京 : 中国科学院遥感与数字地球研究所

Kvamme K L . 1983 . Computer processing techniques for regional modeling of archaeological site locations . Advances in Computer Archaeology , 1 ( 1 ): 26 - 52

Li S C and Li F . 1992 . The archaeological survey in the Hulu River area in Gansu Province . Archaeology , ( 11 ): 971 - 986

李水城 , 李非 . 1992 . 甘肃省葫芦河流域考古调查. 考古, (11): 971 - 986

Liu Z W . 1980 . Akanke Information Criterion (AIC) and its significance . Mathematics in Practice and Theory , ( 3 ): 64 - 72

刘璋温 . 1980 . 赤池信息量准则AIC及其意义. 数学的实践与认识, (3): 64 - 72

Mei Q B and Wang C B . 2004 . The research of site predictive models and GIS in archaeology // Collection of Thesis of the Second Symposium on Digitization and Protection of Chinese Cultural Heritage . Hangzhou : [s.n.] : 157 - 163

梅启斌 , 汪诚波 . 2004 . 考古GIS和遗址预测模型研究 // 第二届中华文化遗产数字化及保护研讨会 . 杭州 : [s.n.] : 157 - 163

Mo D W , Li F , Li S C and Kong Z C . 1996 . A preliminary study on the paleoenvironment of the middle Holocene in the Hulu River area in Gansu Province and its effects on human activity . Acta Geographica Sinica , 51 ( 1 ): 59 - 69

莫多闻 , 李非 , 李水城 , 孔昭宸 . 1996 . 甘肃葫芦河流域中全新世环境演化及其对人类活动的影响 . 地理学报 , 51 ( 1 ): 59- 69 [ DOI: 10.11821/xb199601007 http://dx.doi.org/10.11821/xb199601007 ]

Ni J S . 2009 . Predictive model of archaeological sites in the upper reaches of the Shuhe River in Shandong . Progress in Geography , 28 ( 4 ): 489 - 493

倪金生 . 2009 . 山东沭河上游流域考古遗址预测模型 . 地理科学进展 , 28 ( 4 ): 489- 493 [ DOI: 10.11820/dlkxjz.2009.04.002 http://dx.doi.org/10.11820/dlkxjz.2009.04.002 ]

Peng S Z , Zhang W and Chen D D . 2010 . Model predictability of archaeological sites of the Dawenkou Culture in the Wensi River Basin . Journal of Taishan University , 32 ( 6 ): 34 - 39

彭淑贞 , 张伟 , 陈栋栋 . 2010 . 汶泗流域大汶口文化考古遗址模型预测 . 泰山学院学报 , 32 ( 6 ): 34- 39 [ DOI: 10.3969/j.issn.1672-2590.2010.06.008 http://dx.doi.org/10.3969/j.issn.1672-2590.2010.06.008 ]

Qiao W W , Bi S B , Wang Q F and Guo Y . 2013 . Predictive model of archaeological sites of Longshan Culture in Zhengzhou-Luoyang area . Science of Surveying and Mapping , 38 ( 6 ): 172 - 174, 181

乔文文 , 毕硕本 , 王启富 , 郭忆 . 2015 . 郑洛地区龙山文化遗址预测模型 . 测绘科学 , 38 ( 6 ): 172 - 174 , 181 [ DOI: 10.16251/j.cnki.1009-2307.2013.06.023 http://dx.doi.org/10.16251/j.cnki.1009-2307.2013.06.023 ]

The Archaeology Team of Gansu Museum . 1980 . The trial excavation of Qiaocun site during Qijia Culture period in Lingtai County, Gansu Province . Archaeology and Cultural Relics , 1 ( 3 ): 22 - 24

甘肃省博物馆考古队 . 1980 . 甘肃灵台桥村齐家文化遗址试掘简报 . 考古与文物 , 1 ( 3 ): 22 - 24

Wei H H and Wu D X . 1972 . A Western Zhou tomb at Lingtai Baicaopo . Cultural Relics , ( 12 ): 2 - 8

魏怀珩 , 伍德煦 . 1972 . 灵台白草坡西周墓. 文物, (12): 2 - 8

Yu Y Y , Wu H B and Guo Z T . 2010 . A new simulation model for prehistoric land use and carbon storage (PLCM)—an application in Yiluo Valleys . Quaternary Sciences , 30 ( 3 ): 540 - 549

于严严 , 吴海斌 , 郭正堂 . 2010 . 史前土地利用碳循环模型构建及应用——以伊洛河流域为例 . 第四纪研究 , 30 ( 3 ): 540- 549 [ DOI: 10.3969/j.issn.1001-7410.2010.03.12 http://dx.doi.org/10.3969/j.issn.1001-7410.2010.03.12 ]

Zhang H , Bevan A and Guo D S . 2013 . The Neolithic ceremonial complex at Niuheliang and wider Hongshan landscapes in northeastern China . Journal of World Prehistory , 26 ( 1 ): 1 - 24 [ DOI: 10.1007/s10963-013-9062-9 http://dx.doi.org/10.1007/s10963-013-9062-9 ]

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