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MULTIDIRECTIONAL INTERPOLATION OF LIDAR DATA FROM SOUTHERN VERACRUZ, MEXICO: IMPLICATIONS FOR EARLY OLMEC SUBSISTENCE

Published online by Cambridge University Press:  08 February 2019

Carolina Ramírez-Núñez
Affiliation:
LiDAR Research Group, GIScience Department, Heidelberg University, Germany. Present address: CONACyT-UAM Azcapotzalco. Insurgentes Sur 1582, Crédito Constructor, 03940, Mexico City, Mexico
Ann Cyphers*
Affiliation:
Archaeology Department, Institute of Anthropological Research, UNAM, Circuito de la Investigación Científica s/n, 04510, Ciudad Universitaria, Mexico City, Mexico
Jean-François Parrot
Affiliation:
Geospatial Analysis Laboratory, Institute of Geography, UNAM, Circuito de la Investigación Científica s/n, 04510, Ciudad Universitaria, Mexico City, Mexico
Bernhard Höfle
Affiliation:
LiDAR Research Group, GIScience Department, Heidelberg University, Im Neuenheimer Feld 368, D-69120 Heidelberg, Germany
*
E-mail correspondence to: cyphers@unam.mx
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Abstract

From their beginnings some 4,000 years ago to their decadence around 400 b.c., the Olmec people achieved a high level of sociopolitical complexity and dominated their native geographic territory, the southern Gulf Coast of Mexico. The first Olmec capital of San Lorenzo, Veracruz, was the only site in Mesoamerica that produced imposing monumental stone sculpture and architecture between 1800 and 1000 b.c. These characteristics reflect the capabilities of its centralized political system headed by hereditary rulers with divine legitimation. Key issues regarding the development of San Lorenzo Olmec culture center on subsistence and environment. The present study focuses on a portion of the landscape located immediately north of the first Olmec capital of San Lorenzo, Veracruz, that has been proposed as a key resource area during the development of the first civilization in Mesoamerica. We calculate the surface, volume, and water depth of this area based on archaeological data and a Digital Terrain Model (DTM) derived from an airborne Light Detection and Ranging (LiDAR) survey. The expected minimum and maximum area, local minimum altitude, and the DTM of 5-m spatial resolution provide a basis for inferences regarding the characteristics of the wetland ecosystem during Olmec times. The goal is to quantify and qualify the potential of this resource zone relying on LiDAR topography. Our models validate the observations in the field and, when combined with algorithms, they confirm the archaeological conclusions. We affirm that the northern plain in Olmec times was deeper than it is today and would have been a source of abundant aquatic resources for the primary subsistence of the early Olmec society.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019 
Figure 0

Figure 1. Map showing the location of San Lorenzo in the southern Gulf Coast of Mexico.

Figure 1

Figure 2. Contemporary view of the northern plain during the dry season with the site of San Lorenzo in the background. Photograph by Cyphers.

Figure 2

Figure 3. One of the larger low mounds in the northern plain, as seen in the dry season. Photograph by Cyphers.

Figure 3

Figure 4. Relief map showing San Lorenzo and the artificial low mounds in the northern plain. Image by the authors.

Figure 4

Figure 5. Hypothetical reconstruction of an artificial low mound in the northern plain, showing the preservation of fish by smoking over the central hearth. Drawing by Fernando Botas.

Figure 5

Figure 6. Flood sequence obtained for the filling algorithm at the northern plain of San Lorenzo. The blue scale represents the area occupied in percentage/water layer height in meters: (a) 3.22 percent/1.9 m and red dot the local minimum altitude; (b) 4.87 percent/2.14 m; (c) 8.12 percent/2.38 m; (d) 15.13 percent/2.85 m; (e) 24.03 percent/3.33 m; (f) 48.71 percent/4.28 m; (g) 56.10 percent/4.76 m; (h) 58.9 percent/4.99 m; and (i) 61.24 percent/5.23 m. Image by the authors.

Figure 6

Figure 7. Digital model of the fluvial deposits in the study area. The model on the left does not consider the mounds, whereas the one on the right takes them into account. Image by the authors.

Figure 7

Figure 8. (a) Original DTM of the northern plain. (b) Northern plain model produced by multi-directional interpolation. Image by the authors.

Figure 8

Table 1. Descriptive data on eight excavated floodplain mounds used for model calibration that includes visible height, UTM coordinate location, the depth of sterile soil in centrally located test units, and the thickness of the sedimentation in the plain surrounding the mounds. It is important to note that the depth of sterile soil corresponds to the real altitude of the mound.

Figure 9

Figure 9. Comparison of the sediment depth calculation for 1.6 m at point As. Graph by the authors.

Figure 10

Figure 10. Evolution of the r2 value in relation to the maximum depth. Graph by the authors.

Figure 11

Table 2. Results obtained by means of the program Coord_UTM_points.exe when comparing the eight floodplain mounds reported in Table 1.

Figure 12

Figure 11. Evolution of the standard deviation to maximum depth (2.4 m). Graph by the authors.

Figure 13

Figure 12. Relief map of San Lorenzo and the northern plain as defined by the LiDAR analysis. Image by the authors.