TSUYOSHI HARAGUCHI

Dr. TSUYOSHI HARAGUCHI


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 June 2017 in Remote Sensing
Verified
Journal Article
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TITakeshi Inomata
Takeshi Inomata
FPFlory Pinzón
Flory Pinzón
JRJosé Luis Ranchos
José Luis Ranchos
THTSUYOSHI HARAGUCHI
TSUYOSHI HARAGUCHI
HNHiroo Nasu
Hiroo Nasu
HYHitoshi Yonenobu
Hitoshi Yonenobu
The successful analysis of LiDAR data for archaeological research requires an evaluation of effects of different vegetation types and the use of adequate visualization techniques for the identification of archaeological features. The Ceibal-Petexbatun Archaeological Project conducted a LiDAR survey of an area of 20 × 20 km around the Maya site of Ceibal, Guatemala, which comprises diverse vegetation classes, including rainforest, secondary vegetation, agricultural fields, and pastures. We developed a classification of vegetation through object-based image analysis (OBIA), primarily using LiDAR-derived datasets, and evaluated various visualization techniques of LiDAR data. We then compared probable archaeological features identified in the LiDAR data with the archaeological map produced by Harvard University in the 1960s and conducted ground-truthing in sample areas. This study demonstrates the effectiveness of the OBIA approach to vegetation classification in archaeological applications, and suggests that the Red Relief Image Map (RRIM) aids the efficient identification of subtle archaeological features. LiDAR functioned reasonably well for the thick rainforest in this high precipitation region, but the densest parts of foliage appear to create patches with no or few ground points, which make the identification of small structures problematic.

28 September 2012 in Boreas
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Journal Article
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RSRichard Staff
Richard Staff
TNTakeshi Nakagawa
Takeshi Nakagawa
GSGordon Schlolaut
Gordon Schlolaut
MMMichael H. Marshall
Michael H. Marshall
ABAchim Brauer
Achim Brauer
SMSuigetsu 2006 Project Members
Suigetsu 2006 Project Members

8 June 2016 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Journal Article
Open access
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TCT. Chiba
T. Chiba
ISI. Shimoda
I. Shimoda
THTSUYOSHI HARAGUCHI
TSUYOSHI HARAGUCHI
MSM. Shimoda
M. Shimoda
To precisely visualize the Royal City of Angkor Thom, Cambodia, we used a new method in field of cultural heritage study. Read Relief Image Map (RRIM, Chiba et al., 2008) is a powerful method which has been used for geomorphological studies. In this study, using the LiDAR data conducted at the Angkor Archaeological Park in Cambodia in April 2012 (Evans et al., 2013), we visualized the Royal City of Angkor Thom and its vicinity (Shimoda et al., 2016). The RRIM provided a new visualization method of localizing, minute topographical changes in regions with large undulations over a wide area. It has proved to be effective in mapping, on a single wide-area map, the numerous buried remains that exist as comparable height differences or minute undulations measuring less than 1 meter in height, and provides a unique aerial view of their widespread distribution. Based on the RRIM map, past archaeological studies were referenced to reconstruct the layout of the water channel network system. Past studies revealed that a large number of ponds had been dug inside Angkor Thom. The RRIM expanded the investigation and revealed the existence of many ponds outside the royal capital indicating that a residential community had flourished outside the moat surrounded capital city.