26,499 research outputs found
Using high-resolution ICESat-2 point clouds to evaluate 1-3 arc second global digital elevation models
No full textPresentation at Geomorphometry 2021 of the paper Tera Geoffroy and Peter Guth (2020) Using high-resolution ICESat-2 point clouds to evaluate 1-3 arc second global digital elevation models: in Massimiliano Alvioli, Ivan Marchesini, Laura Melelli & Peter Guth, eds., Proceedings of the Geomorphometry 2020 Conference, https://doi:10.30437/GEOMORPHOMETRY2020_2
K-means clustering of the DEMIX data set
No full textThe DEMIX database (Guth, 2023) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopDEM, FABDEM, NASADEM, and SRTM) compared to high resolution reference DEMs. The database contains 236 DEMIX tiles (Guth and others, 2023) and has 7 tile characteristics for each tile.
A K-means clustering of the database, and an additional set of 4 land cover and landform classifications for the 236 DEMIX tiles produced variable numbers of clusters.
This data set includes five databases including the clustering results, a figure showing the scatterplots showing the relations among the tile characteristics in the database, and map showing the location of the clusters.
References:
Guth, P. L., 2023. DEMIX GIS Database Version 2 (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8062008
Guth, Peter L., Peter Strobl, Kevin Gross, & Serge Riazanoff. (2023). DEMIX 10k Tile Data Set (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.750479
Henri Temianka Correspondence; (guth)
No full textThis collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/4015/thumbnail.jp
Henri Temianka Correspondence; (guth)
No full textThis collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/4014/thumbnail.jp
Author Peter FitzSimons speaking at the National Library of Australia, Canberra, 13 November 2012 /
No full textTitle from acquisitions documentation.; Part of the collection: Portraits of author Peter FitzSimons speaking at the National Library of Australia, Canberra, 13 November 2012.; Acquired in digital format; access copy available online.; Mode of access: Online.; Photographed by a staff member of the National Library of Australia
Terrain Analysis According to Multiscale Surface Roughness in the Taklimakan Desert
No full textSurface roughness, interpreted in the wide sense of surface texture, is a generic term referring to a variety of aspects and scales of spatial variability of surfaces. The analysis of solid earth surface roughness is useful for understanding, characterizing, and monitoring geomorphic factors at multiple spatiotemporal scales. The different geomorphic features characterizing a landscape exhibit specific characteristics and scales of surface texture. The capability to selectively analyze specific roughness metrics at multiple spatial scales represents a key tool in geomorphometric analysis. This research presents a simplified geostatistical approach for the multiscale analysis of surface roughness, or of image texture in the case of images, that is highly informative and interpretable. The implemented approach is able to describe two main aspects of short-range surface roughness: omnidirectional roughness and roughness anisotropy. Adopting simple upscaling approaches, it is possible to perform a multiscale analysis of roughness. An overview of the information extraction potential of the approach is shown for the analysis of a portion of the Taklimakan desert (China) using a 30 m resolution DEM derived from the Copernicus Glo-30 DSM. The multiscale roughness indexes are used as input features for unsupervised and supervised learning tasks. The approach can be refined both from the perspective of the multiscale analysis as well as in relation to the surface roughness indexes considered. However, even in its present, simplified form, it can find direct applications in relation to multiple contexts and research topics
Moral Good, the Beatific Vision, and God’s Kingdom Writings by Germain Grisez and Peter Ryan, S.J.. Edited by Peter J. Weigel
No full textFor close to half a century, the work of Germain Grisez has been highly influential, and his writings continue to receive considerable attention from philosophers and theologians of diverse viewpoints. His co-author for this work is the professor and noted moral theologian Fr. Peter Ryan, S.J., currently the executive director of the Secretariat of Doctrine and Canonical Affairs of the United States Conference of Catholic Bishops (USCCB). These two eminent scholars explore fundamental questions about Christian eschatology, moral theory, the purpose of human life, and the promise of human fulfilment. The authors examine Christian teaching on the final destiny of persons, investigating the meaning of God's kingdom, the hope of the beatific vision, and the centrality of moral goodness and divine grace in one's final end. This work is an ideal source for students, scholars, ministers and lay persons interested in basic questions of Christian theology, the philosophy of religion, ethical theory, and Catholic doctrin
Evaluation of slopes calculated from TanDEM-X digital elevation models at 3 spatial resolutions
No full textPresentation at Geomorphometry 2021 of the paper Guth, Peter L, & Kane, Morgan E. (2021, August 25). Evaluation of slopes calculated from TanDEM-X digital elevation models at 3 spatial resolutions. Presented at Geomorphometry 2021, Perugia, Italy, September 2021. https://doi.org/10.5281/zenodo.526053
Murder on the mountain: author talk with Peter J. Wosh
No full textAuthor talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
DEMIX 1" Reference DEMs version 1.0
No full textThis reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX) working group (Strobl and others, 2021; Guth and others, 2021; Bielski and others,2023).
The data set consists of:
Excel metadata file with two tabs:
Credits for each of 19 areas for the source of the high resolution data sets, the number of DEMIX tiles (Guth and others, 2023) in that area, the resolution of the source data, and credits for the processing.
The national mapping agencies (or equivalent) that provided the free high resolution data, and the files used for the vertical datum transformations.
ZIP file with the 1” grids used to support the DEMIX work and create the DEMIX database (Guth, 2022). The file also includes databases for each area required to use the data in MICRODEM.
To understand the use of the reference data, see the forthcoming paper (Bielski and others, in prep).
References:
Bielski, C.; López-Vázquez, C.; Guth. P.L.; Grohmann, C.H. and the TMSG DEMIX Working Group, 2023. DEMIX Wine Contest Method Ranks ALOS AW3D30, COPDEM, and FABDEM as Top 1” Global DEMs: https://arxiv.org/pdf/2302.08425.pdf
Guth, Peter L. (2022). DEMIX GIS Database (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7402618 .
Guth, P.L., Strobl, P., Gross, K., & Riazanoff, S. (2023). DEMIX 10k Tile Data Set (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7504791
Guth, P.L.; Van Niekerk, A.; Grohmann, C.H.; Muller, J.-P.; Hawker, L.; Florinsky, I.V.; Gesch, D.; Reuter, H.I.; Herrera-Cruz, V.; Riazanoff, S.; López-Vázquez, C.; Carabajal, C.C.; Albinet, C.; Strobl, P. Digital Elevation Models: Terminology and Definitions. Remote Sens. 2021, 13, 3581. https://doi.org/10.3390/rs13183581
Strobl, P.A.; Bielski, C.; Guth, P.L.; Grohmann, C.H.; Muller, J.P.; López-Vázquez, C.; Gesch, D.B.; Amatulli, G.; Riazanoff, S.; Carabajal, C. The Digital Elevation Model Intercomparison eXperiment DEMIX, a community based approach at global DEM benchmarking. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2021, XLIII-B4-2021, 395–400. https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-395-202
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