You are currently viewing a new version of our website. To view the old version click .

ISPRS International Journal of Geo-Information, Volume 11, Issue 4

April 2022 - 58 articles

Cover Story: The paper presents an automated methodology for the digital acquisition of thematic information from historical maps. A customized procedure of object-based image analysis (OBIA) and filtering was applied to digitize and georeference a map of the forest density of Trentino, which is part of the atlas “Il Trentino. Economic Statistical Illustration” by Cesare Battisti (1915). The vector map obtained was used for a qualitative and quantitative diachronic analysis of the dynamics of the wooded areas of this Alpine region. Forest coverage in this region has been documented using maps for more than two centuries. This map represents a data point in a time series that is currently studied to identify changes in forest density and pattern. This will allow the creation of scenarios for future forest evolution, supporting the preservation of ecological features and biodiversity. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (58)

  • Editorial
  • Open Access
2,543 Views
5 Pages

This editorial introduces the Special Issue entitled “Geomatic Applications to Coastal Research: Challenges and New Developments” and succinctly evaluates future trends of the use of geomatics in the field of coastal research. This Specia...

  • Article
  • Open Access
32 Citations
5,700 Views
22 Pages

Assessment of Groundwater Potential Zones Using GIS and Fuzzy AHP Techniques—A Case Study of the Titel Municipality (Northern Serbia)

  • Mirjana Radulović,
  • Sanja Brdar,
  • Minučer Mesaroš,
  • Tin Lukić,
  • Stevan Savić,
  • Biljana Basarin,
  • Vladimir Crnojević and
  • Dragoslav Pavić

Groundwater is one of the most important natural resources for reliable and sustainable water supplies in the world. To understand the use of water resources, the fundamental characteristics of groundwater need to be analyzed, but in many cases, in s...

  • Article
  • Open Access
10 Citations
3,426 Views
17 Pages

Image recording is now ubiquitous in the fields of endangered-animal conservation and GIS. However, endangered animals are rarely seen, and, thus, only a few samples of images of them are available. In particular, the study of endangered-animal detec...

  • Article
  • Open Access
9 Citations
4,244 Views
20 Pages

HDRLM3D: A Deep Reinforcement Learning-Based Model with Human-like Perceptron and Policy for Crowd Evacuation in 3D Environments

  • Dong Zhang,
  • Wenhang Li,
  • Jianhua Gong,
  • Lin Huang,
  • Guoyong Zhang,
  • Shen Shen,
  • Jiantao Liu and
  • Haonan Ma

At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement lear...

  • Article
  • Open Access
6 Citations
3,605 Views
22 Pages

Geospatial Web Services Discovery through Semantic Annotation of WPS

  • Meriem Sabrine Halilali,
  • Eric Gouardères,
  • Mauro Gaio and
  • Florent Devin

This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based s...

  • Article
  • Open Access
7 Citations
3,578 Views
20 Pages

In order to realize the management of various street objects in smart cities and smart transportation, it is very important to determine their geolocation. Current positioning methods of street-view images based on mobile mapping systems (MMSs) mainl...

  • Article
  • Open Access
37 Citations
4,418 Views
12 Pages

The classification of unmanned aerial vehicle hyperspectral images is of great significance in agricultural monitoring. This paper studied a fine classification method for crops based on feature transform combined with random forest (RF). Aiming at t...

  • Review
  • Open Access
5 Citations
4,068 Views
26 Pages

Bibliometric Analysis of OGC Specifications between 1994 and 2020 Based on Web of Science (WoS)

  • Mingrui Huang,
  • Xiangtao Fan,
  • Hongdeng Jian,
  • Hongyue Zhang,
  • Liying Guo and
  • Liping Di

The Open Geospatial Consortium (OGC) is an international non-profit standards organization. Established in 1994, OGC aims to make geospatial information and services FAIR-Findable, Accessible, Interoperable, and Reusable. OGC specifications have grea...

  • Article
  • Open Access
7 Citations
6,481 Views
18 Pages

With the development of tourism and the change in urban functions, the analysis of the spatial pattern of urban tourist flows has become increasingly important. Existing studies have explored and analyzed tourist behavior well, using the appropriate...

  • Article
  • Open Access
13 Citations
3,819 Views
20 Pages

Commercial and residential spaces are two core types of geographical objects in urban areas. However, these two types of spaces are not independent of each other. Spatial associations exist between them, and a thorough understanding of this spatial a...

of 6

Get Alerted

Add your email address to receive forthcoming issues of this journal.

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