Sea lions, sacrifice, and ritual : The symbolism of Moche Island imagery

The Mochica, or Moche (c. 100-800 AD) culture, flourished along the northern Peruvian coast. The Moche did not have a formal written language; as such, contemporary scholars base their analysis on Moche iconography and archaeological burial remains. Especially renown for their ceramic artistry, Moche vessels exhibit a wide range of subject matter, including animal and enigmatic figural representations that evoke terrestrial, marine and possibly, spiritual realms. While research has focused on political organization and the interrelationship between sacrifice and warfare, many marine themes have not been fully explored in the discourse. An exploration of sea lion imagery and sacrifice themes suggests that the marine mammals were ritually hunted. A careful iconographic analysis of island scenes demonstrates ritual and gender affiliations held by the Moche about sea lions. In a multi-disciplinary approach, scientific, archaeological and ethnographic resources substantiate this claim.

Graveyards to Glamour : Development of Sexualized Angel Imagery in American Art and Advertising

Images of female angels in American art and advertisements have been sexualized in the late twentieth and early twenty-­‐first centuries. Companies such as Victoria’s Secret have appropriated the image of female angels, which first appeared at the beginning of the nineteenth century, and clothed them in lingerie in order to sell a product. This Masters Research Paper explores the evolution of female angelic imagery in the United States in order to understand how and when the image of angels began to be sexualized and used in advertising. Angels in art have been studied extensively; however, there has been no work done which examines how the angels in art and advertising have been sexualized. Nor has any work been done to map the evolution of female angelic imagery in American art. This Masters Research Paper will fill that gap in scholarship.

Boston, Massachusetts Region 1:5,000 Color Ortho Imagery (1/2-meter Resolution), 2001

1/2-meter resolution 1:5,000 orthophoto image of the Boston region from April 2001. This datalayer is a subset (covering only the Boston region) of the Massachusetts statewide orthophoto image series available from MassGIS. It consists of 23 orthophoto quads mosaicked together (MassGIS orthophoto quad ID: 229890, 229894, 229898, 229902, 233886, 233890, 233894, 233898, 233902, 233906, 233910, 237890, 237894, 237898, 237902, 237906, 237910, 241890, 241894, 241898, 241902, 245898, 245902). These medium resolution true color images are considered the new "basemap" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). MassGIS/EOEA and the Massachusetts Highway Department jointly funded the project. The photography for the mainland was captured in April 2001 when deciduous trees were mostly bare and the ground was generally free of snow. The geographic extent of this dataset is the same as that of the MassGIS dataset: Boston, Massachusetts Region LIDAR First Return Elevation Data, 2002 [see cross references].

Procedures for analyzing data obtained from LANDSAT multispectral imagery /

Thesis (M. S.)--University of Illinois at Urbana-Champaign.

Interpreting land use change through satellite imagery /

Issued Dec. 1979.

Imagery analysts : Directorate for Imagery Exploitation, Directorate for Foreign Intelligence.

Mode of access: Internet.

Orientalisms in Bible lands : giving light from customs, habits, manners, imagery, thought and life in the East for Bible students /

Mode of access: Internet.

Lincoln's imagery, a study in word power.

Bibliographical footnotes.

A hybrid methodology for detecting cartographically significant features using Landsat TM imagery /

"ETL-0589."

A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery

In this paper we proposed a composite depth of penetration (DOP) approach to excluding bottom reflectance in mapping water quality parameters from Landsat thematic mapper (TM) data in the shallow coastal zone of Moreton Bay, Queensland, Australia. Three DOPs were calculated from TM1, TM2 and TM3, in conjunction with bathymetric data, at an accuracy ranging from +/-5% to +/-23%. These depths were used to segment the image into four DOP zones. Sixteen in situ water samples were collected concurrently with the recording of the satellite image. These samples were used to establish regression models for total suspended sediment (TSS) concentration and Secchi depth with respect to a particular DOP zone. Containing identical bands and their transformations for both parameters, the models are linear for TSS concentration, logarithmic for Secchi depth. Based on these models, TSS concentration and Secchi depth were mapped from the satellite image in respective DOP zones. Their mapped patterns are consistent with the in situ observed ones. Spatially, overestimation and underestimation of the parameters are restricted to localised areas but related to the absolute value of the parameters. The mapping was accomplished more accurately using multiple DOP zones than using a single zone in shallower areas. The composite DOP approach enables the mapping to be extended to areas as shallow as <3 m. (C) 2004 Elsevier Inc. All rights reserved.

Linking riparian vegetation spatial structure in Australian tropical savannas to ecosystem health indicators: semi-variogram analysis of high spatial resolution satellite imagery

Government agencies responsible for riparian environments are assessing the combined utility of field survey and remote sensing for mapping and monitoring indicators of riparian zone health. The objective of this work was to determine if the structural attributes of savanna riparian zones in northern Australia can be detected from commercially available remotely sensed image data. Two QuickBird images and coincident field data covering sections of the Daly River and the South Alligator River - Barramundie Creek in the Northern Territory were used. Semi-variograms were calculated to determine the characteristic spatial scales of riparian zone features, both vegetative and landform. Interpretation of semi-variograms showed that structural dimensions of riparian environments could be detected and estimated from the QuickBird image data. The results also show that selecting the correct spatial resolution and spectral bands is essential to maximize the accuracy of mapping spatial characteristics of savanna riparian features. The distribution of foliage projective cover of riparian vegetation affected spectral reflectance variations in individual spectral bands differently. Pan-sharpened image data enabled small-scale information extraction (< 6 m) on riparian zone structural parameters. The semi-variogram analysis results provide the basis for an inversion approach using high spatial resolution satellite image data to map indicators of savanna riparian zone health.