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ISPRS International Journal of Geo-Information, Volume 8, Issue 1

January 2019 - 51 articles

Cover Story: Geolocated big data paired with smaller (traditional) data opens new ways of understanding how people act and move around, and how heterogenous micro-activities crystallise into structural patterns. In this study, we extract mobile phone indicators from six months worth of Call Detail Records from French territories, and investigate their relation with socioeconomic data of urban organisation (deprivation, inequality and segregation). Some mobile phone indicators, such as the number of calls or the entropy of movements, relate significantly with the socioeconomic indicators of cities. However, most relations are sensitive (to the point of being reversed) to the way cities are defined. Cities delineated in a restricted way (central cores) tend to show weaker correlations than cities delineated as metropolitan areas and regions. View this paper.
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Articles (51)

  • Article
  • Open Access
37 Citations
25,454 Views
18 Pages

Criminal activities are often unevenly distributed over space. The literature shows that the occurrence of crime is frequently concentrated in particular neighbourhoods and is related to a variety of socioeconomic and crime opportunity factors. This...

  • Article
  • Open Access
17 Citations
4,546 Views
19 Pages

Remotely sensed imagery-based change detection is an effective approach for identifying land cover change information. A large number of change detection algorithms have been developed that satisfy different requirements. However, most change detecti...

  • Article
  • Open Access
14 Citations
4,885 Views
16 Pages

Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry

  • René Chénier,
  • Ryan Ahola,
  • Mesha Sagram,
  • Marc-André Faucher and
  • Yask Shelat

The Canadian Hydrographic Service (CHS) publishes nautical charts covering all Canadian waters. Through projects with the Canadian Space Agency, CHS has been investigating remote sensing techniques to support hydrographic applications. One challenge...

  • Article
  • Open Access
28 Citations
6,152 Views
12 Pages

Small Manhole Cover Detection in Remote Sensing Imagery with Deep Convolutional Neural Networks

  • Wei Liu,
  • Dayu Cheng,
  • Pengcheng Yin,
  • Mengyuan Yang,
  • Erzhu Li,
  • Meng Xie and
  • Lianpeng Zhang

With the development of remote sensing technology and the advent of high-resolution images, obtaining data has become increasingly convenient. However, the acquisition of small manhole cover information still has shortcomings including low efficiency...

  • Article
  • Open Access
23 Citations
8,438 Views
18 Pages

Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media images. Howev...

  • Article
  • Open Access
15 Citations
5,229 Views
16 Pages

GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes

  • François Merciol,
  • Loïc Faucqueur,
  • Bharath Bhushan Damodaran,
  • Pierre-Yves Rémy,
  • Baudouin Desclée,
  • Fabrice Dazin,
  • Sébastien Lefèvre,
  • Antoine Masse and
  • Christophe Sannier

Land cover mapping has benefited a lot from the introduction of the Geographic Object-Based Image Analysis (GEOBIA) paradigm, that allowed to move from a pixelwise analysis to a processing of elements with richer semantic content, namely objects or r...

  • Article
  • Open Access
13 Citations
7,687 Views
16 Pages

Deep Learning Segmentation and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery

  • Franz Kurz,
  • Seyed Majid Azimi,
  • Chun-Yu Sheu and
  • Pablo d’Angelo

The 3D information of road infrastructures is growing in importance with the development of autonomous driving. In this context, the exact 2D position of road markings as well as height information play an important role in, e.g., lane-accurate self-...

  • Article
  • Open Access
3 Citations
6,180 Views
29 Pages

Role-Tailored Map Dashboards—A New Approach for Enhancing the Forest-based Supply Chain

  • Caroline Atzl,
  • Johannes Scholz,
  • Bernhard Vockner,
  • Manfred Mittlböck and
  • Laura Knoth

The article presents a map dashboard aimed at enhancing the information flow in the forest-based supply chain (FbSC). We especially focus on the procurement stage and connect the stakeholders in (near) real-time via standardized data models, interfac...

  • Article
  • Open Access
33 Citations
5,276 Views
13 Pages

The onset date of spring phenology (SOS) is regarded as a key parameter for understanding and modeling vegetation–climate interactions. Inner Mongolia has a typical temperate grassland vegetation ecosystem, and has a rich snow cover during wint...

  • Article
  • Open Access
38 Citations
7,567 Views
24 Pages

Recent NDVI Trends in Mainland Spain: Land-Cover and Phytoclimatic-Type Implications

  • Carlos J. Novillo,
  • Patricia Arrogante-Funes and
  • Raúl Romero-Calcerrada

The temporal evolution of vegetation is one of the best indicators of climate change, and many earth system models are dependent on an accurate understanding of this process. However, the effect of climate change is expected to vary from one land-cov...

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