{rfName}
Th

Indexed in

License and use

Altmetrics

Analysis of institutional authors

Ojeda JAuthor

Share

June 25, 2019
Publications
>
Proceedings Paper
No

The need of nested grids for aerial and satellite images and digital elevation models

Publicated to:International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences - Isprs Archives. 41 (B2): 131-138 - 2016-01-01 41(B2), DOI: 10.5194/isprsarchives-XLI-B2-131-2016

Authors: Villa G; Mas S; Fernández-Villarino X; Martínez-Luceño J; Ojeda J; Pérez-Martín B; Tejeiro J; García-González C; López-Romero E; Soteres C

Affiliations

Abstract

Usual workflows for production, archiving, dissemination and use of Earth observation images (both aerial and from remote sensing satellites) pose big interoperability problems, as for example: non-alignment of pixels at the different levels of the pyramids that makes it impossible to overlay, compare and mosaic different orthoimages, without resampling them and the need to apply multiple resamplings and compression-decompression cycles. These problems cause great inefficiencies in production, dissemination through web services and processing in Big Data environments. Most of them can be avoided, or at least greatly reduced, with the use of a common nested grid for mutiresolution production, archiving, dissemination and exploitation of orthoimagery, digital elevation models and other raster data. Nested grids are space allocation schemas that organize image footprints, pixel sizes and pixel positions at all pyramid levels, in order to achieve coherent and consistent multiresolution coverage of a whole working area. A nested grid must be complemented by an appropriate tiling schema, ideally based on the quad-tree concept. In the last years a de facto standard grid and Tiling Schema has emerged and has been adopted by virtually all major geospatial data providers. It has also been adopted by OGC in its WMTS Simple Profile standard. In this paper we explain how the adequate use of this tiling schema as common nested grid for orthoimagery, DEMs and other types of raster data constitutes the most practical solution to most of the interoperability problems of these types of data.,.

Keywords

Big dataDemGeographic gridImage piramidsMultirresolutionNested gridOrthoimages

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences - Isprs Archives due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Information Systems.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-15:

  • WoS: 2
  • Scopus: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-15:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 6 (PlumX).