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ISPRS International Journal of Geo-Information, Volume 8, Issue 10

October 2019 - 41 articles

Cover Story: Knowledge about the accuracy of digital elevation models (DEMs) in different terrain conditions is essential for many geoscientific computations to avoid misleading results. This study assessed the vertical accuracy of a multitude of different DEMs against various reference datasets. The analysis was conducted on a regional and local scale in Northern Chile, concerning the very diverse relief of the Atacama Desert. It was shown that the vertical accuracy is highly influenced by the topography, and high-resolution DEMs are necessary to depict rough landscapes accurately. While the error is rising up to eight times for DEMs with 30 m or lower spatial resolution in steep terrain compared to flat landscapes, it is only four times higher for high-resolution DEMs with a spatial resolution of 12 m or higher. View this paper.
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Articles (41)

  • Article
  • Open Access
45 Citations
7,079 Views
14 Pages

Machine Learning Methods for Classification of the Green Infrastructure in City Areas

  • Nikola Kranjčić,
  • Damir Medak,
  • Robert Župan and
  • Milan Rezo

Rapid urbanization in cities can result in a decrease in green urban areas. Reductions in green urban infrastructure pose a threat to the sustainability of cities. Up-to-date maps are important for the effective planning of urban development and the...

  • Article
  • Open Access
27 Citations
6,092 Views
13 Pages

Small earthquakes following a large event in the same area are typically aftershocks, which are usually less destructive than mainshocks. These aftershocks are considered mainshocks if they are larger than the previous mainshock. In this study, recor...

  • Article
  • Open Access
2 Citations
3,332 Views
15 Pages

Considering the multiscale characteristics of the human visual system and any natural scene, the spatial autocorrelation of remotely sensed imagery, and the multilevel spatial structure of ground targets in remote sensing images, an information-measu...

  • Article
  • Open Access
13 Citations
4,243 Views
18 Pages

Continuous-Scale 3D Terrain Visualization Based on a Detail-Increment Model

  • Bo Ai,
  • Linyun Wang,
  • Fanlin Yang,
  • Xianhai Bu,
  • Yaoyao Lin and
  • Guannan Lv

Triangulated irregular networks (TINs) are widely used in terrain visualization due to their accuracy and efficiency. However, the conventional algorithm for multi-scale terrain rendering, based on TIN, has many problems, such as data redundancy and...

  • Technical Note
  • Open Access
14 Citations
4,539 Views
13 Pages

FracL: A Tool for Characterizing the Fractality of Landscape Gradients from a New Perspective

  • Peichao Gao,
  • Samuel A. Cushman,
  • Gang Liu,
  • Sijing Ye,
  • Shi Shen and
  • Changxiu Cheng

The past several years have witnessed much progress in landscape ecology and fractal analysis. In landscape ecology, the gradient model of landscape patterns (i.e., landscape gradient) has emerged as a new operating paradigm, where most landscape met...

  • Technical Note
  • Open Access
8 Citations
7,969 Views
14 Pages

pyjeo: A Python Package for the Analysis of Geospatial Data

  • Pieter Kempeneers,
  • Ondrej Pesek,
  • Davide De Marchi and
  • Pierre Soille

A new Python package, pyjeo, that deals with the analysis of geospatial data has been created by the Joint Research Centre (JRC). Adopting the principles of open science, the JRC strives for transparency and reproducibility of results. In this view,...

  • Article
  • Open Access
30 Citations
7,308 Views
18 Pages

Analysis of Urban Drivable and Walkable Street Networks of the ASEAN Smart Cities Network

  • Pengjun Zhao,
  • Yat Yen,
  • Earl Bailey and
  • Muhammad Tayyab Sohail

Making transport systems sustainable is a topic that has attracted the attention of many researchers and urban planners. The Association of Southeast Asian Nations (ASEAN) Smart Cities Network (ASCN) was initiated to develop a sustainable transport s...

  • Article
  • Open Access
3 Citations
3,984 Views
18 Pages

Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds

  • Teresa Gracchi,
  • Giovanni Gigli,
  • François Noël,
  • Michel Jaboyedoff,
  • Claudia Madiai and
  • Nicola Casagli

In this paper, a MATLAB tool for the automatic detection of the best locations to install a wireless sensor network (WSN) is presented. The implemented code works directly on high-resolution 3D point clouds and aims to help in positioning sensors tha...

  • Article
  • Open Access
10 Citations
7,532 Views
19 Pages

Understanding the spatial variability of soil health and identifying areas that share similar soil properties can help nations transition to sustainable agricultural practices. This information is particularly applicable to management decisions such...

  • Article
  • Open Access
30 Citations
7,132 Views
24 Pages

New Tools for the Classification and Filtering of Historical Maps

  • Stefano Gobbi,
  • Marco Ciolli,
  • Nicola La Porta,
  • Duccio Rocchini,
  • Clara Tattoni and
  • Paolo Zatelli

Historical maps constitute an essential information for investigating the ecological and landscape features of a region over time. The integration of heritage maps in GIS models requires their digitalization and classification. This paper presents a...

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