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ISPRS International Journal of Geo-Information, Volume 10, Issue 4

April 2021 - 75 articles

Cover Story: There is an ongoing paradigm shift in geoinformatics. Cloud computing promises to provide almost unlimited availability, reliability, and scalability for memory-intensive and computational demandingspatial analysis, such as Spatially Explicit Uncertainty and Sensitivity Analysis (SEUSA), to quantify the robustness of spatial model solutions. The number of model runs, the spatial, spectral, and temporal resolutions, the number of criterion maps, and the model complexity mainly influence the computational effort. Complex spatial use cases that incorporate massive raster datasets easily exceed local cluster capacity limits by performing SEUSA. Consequently, this study focuses on designing a framework to perform SEUSA as a Service in a cloud-based environment scalable to very large raster datasets and applicable for various spatial domains. View this paper
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Articles (75)

  • Review
  • Open Access
81 Citations
11,423 Views
34 Pages

In the light of climate change and burgeoning urbanization, heat loads in urban areas have emerged as serious issues, affecting the well-being of the population and the environment. In response to a pressing need for more standardised and communicabl...

  • Article
  • Open Access
4 Citations
3,874 Views
29 Pages

In this work, we focus our attention on the similarity among works of art based on human poses and the actions they represent, moving from the concept of Pathosformel in Aby Warburg. This form of similarity is investigated by performing a pose cluste...

  • Article
  • Open Access
7 Citations
3,622 Views
15 Pages

Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation. However, the lack of negat...

  • Article
  • Open Access
13 Citations
4,672 Views
16 Pages

The main purpose of this study was to investigate the factors that discouraged Taiwan hoteliers from applying for green hotel certification. The analytic hierarchy process (AHP) method was used to perform a weighted analysis that comprehensively iden...

  • Article
  • Open Access
24 Citations
7,102 Views
21 Pages

Object Semantic Segmentation in Point Clouds—Comparison of a Deep Learning and a Knowledge-Based Method

  • Jean-Jacques Ponciano,
  • Moritz Roetner,
  • Alexander Reiterer and
  • Frank Boochs

Through the power of new sensing technologies, we are increasingly digitizing the real world. However, instruments produce unstructured data, mainly in the form of point clouds for 3D data and images for 2D data. Nevertheless, many applications (such...

  • Case Report
  • Open Access
33 Citations
6,277 Views
14 Pages

Floods are among the most common natural hazards around the world. Mapping and evaluating potential flood hazards are essential for flood risk management and mitigation strategies, particularly in coastal areas. Several factors play significant roles...

  • Article
  • Open Access
38 Citations
5,356 Views
22 Pages

Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data

  • Xiangxiang Zheng,
  • Guojin He,
  • Shanshan Wang,
  • Yi Wang,
  • Guizhou Wang,
  • Zhaoying Yang,
  • Junchuan Yu and
  • Ning Wang

The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone...

  • Article
  • Open Access
6 Citations
4,064 Views
19 Pages

High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, informati...

  • Article
  • Open Access
62 Citations
21,419 Views
25 Pages

Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

  • Christina Ludwig,
  • Robert Hecht,
  • Sven Lautenbach,
  • Martin Schorcht and
  • Alexander Zipf

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imager...

  • Article
  • Open Access
18 Citations
6,545 Views
19 Pages

A Geomorphic Approach for Identifying Flash Flood Potential Areas in the East Rapti River Basin of Nepal

  • Til Prasad Pangali Sharma,
  • Jiahua Zhang,
  • Narendra Raj Khanal,
  • Foyez Ahmed Prodhan,
  • Lkhagvadorj Nanzad,
  • Da Zhang and
  • Pashupati Nepal

Basin geomorphology is a complete system of landforms and topographic features that play a crucial role in the basin-scale flood risk evaluation. Nepal is a country characterized by several rivers and under the influence of frequent floods. Therefore...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964