Boleslo E Romero
Biographic Data
| ID | 2499252 |
|---|---|
| NAME | Boleslo E Romero |
| GIVEN NAMES | Boleslo E |
| FAMILY NAME | Romero |
| SIGNATURE | ROMERO B E |
| AFFILIATIONS | University of California, Santa Barbara |
| ORCID | 0000-0002-1360-6496 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
On the topology of topography
In the field of terrain analysis, a primary goal is to effectively identify topographic features for a better understanding of their associated processes. The relationships among features are, therefore, of particular importance. The concept of the surface network, involving and defined by such features as peaks, pits, various saddles, ridge lines, and the opposite course lines, can be a beneficial construct for describing and modeling any mathem…
Exploring uncertainties in terrain feature extraction across multi-scale, multi-feature, and multi-method approaches for variable terrain
Terrain analysis uses different workflows to extract features from terrain models for the purpose of understanding topographic patterns and processes. However, the results of different workflows often conflict, leading to uncertainties about feature locations. Instead of relying upon a single workflow, we suggest that a fusion of information from multiple workflows better informs terrain analysis. From terrain data with different degrees of varia…
Analytical applications of fine-scale terrestrial lidar at the imperial Inca site of Caranqui, northern highland Ecuador
The relatively recent availability of terrestrial lidar for mapping archaeological subjects has allowed for great advances in representation and reconstruction but the analytic potential of this technology remains under-developed in archaeology. This paper provides an overview of the analytical directions we are taking with point cloud data generated through ground-based laser scanning at the imperial Inca site of Caranqui in northern Ecuador. Ou…
Analytical applications of fine-scale terrestrial lidar at the imperial Inca site of Caranqui, northern highland Ecuador
The relatively recent availability of terrestrial lidar for mapping archaeological subjects has allowed for great advances in representation and reconstruction but the analytic potential of this technology remains under-developed in archaeology. This paper provides an overview of the analytical directions we are taking with point cloud data generated through ground-based laser scanning at the imperial Inca site of Caranqui in northern Ecuador. Ou…
Analytical applications of fine-scale terrestrial lidar at the imperial Inca site of Caranqui, northern highland Ecuador
The relatively recent availability of terrestrial lidar for mapping archaeological subjects has allowed for great advances in representation and reconstruction but the analytic potential of this technology remains under-developed in archaeology. This paper provides an overview of the analytical directions we are taking with point cloud data generated through ground-based laser scanning at the imperial Inca site of Caranqui in northern Ecuador. Ou…
On the topology of topography
In the field of terrain analysis, a primary goal is to effectively identify topographic features for a better understanding of their associated processes. The relationships among features are, therefore, of particular importance. The concept of the surface network, involving and defined by such features as peaks, pits, various saddles, ridge lines, and the opposite course lines, can be a beneficial construct for describing and modeling any mathem…
Exploring uncertainties in terrain feature extraction across multi-scale, multi-feature, and multi-method approaches for variable terrain
Terrain analysis uses different workflows to extract features from terrain models for the purpose of understanding topographic patterns and processes. However, the results of different workflows often conflict, leading to uncertainties about feature locations. Instead of relying upon a single workflow, we suggest that a fusion of information from multiple workflows better informs terrain analysis. From terrain data with different degrees of varia…
Cartography (3 works) · Geography (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Remote Sensing and LiDAR Applications (2 works) · Scale (ratio (2 works) · Soil erosion and sediment transport (2 works) · Terrain (2 works) · 3D Surveying and Cultural Heritage (1 work)