Recent Developments in Geospatial Information Sciences : Selected Papers from iGISc 2023 / edited by Hugo Carlos-Martinez, Rodrigo Tapia-McClung, Daniela Alejandra Moctezuma-Ochoa, Ana Josselinne Alegre-Mondragón.

Format:

Book

Author/Creator:

Carlos-Martínez, Hugo.

Contributor:

Tapia-McClung, Rodrigo.

Moctezuma-Ochoa, Daniela Alejandra.

Alegre-Mondragón, Ana Josselinne.

Series:

Lecture Notes in Geoinformation and Cartography, 1863-2351

Language:

English

Subjects (All):

Geographic information systems.

Cartography.

Computational intelligence.

Geographical Information System.

Computational Intelligence.

Local Subjects:

Geographical Information System.

Cartography.

Computational Intelligence.

Physical Description:

1 online resource (259 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This book presents a selection of manuscripts submitted to the 3rd International Conference on Geospatial Information Sciences (iGISc) 2023, a hybrid conference held in November 2023. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-reviewed process. They represent a sample of the wide range of applications that characterize the interdisciplinary research areas of the Geospatial Information Sciences. It especially represents a fabulous opportunity to exhibit research carried out by young researchers and showcase it to the rest of the world and enhance the growth of the sciences while, at the same time, enforces them to level up with other research at the international level.

Contents:

Intro

Organization

Preface

Acknowledgements

Contents

Analysis of Geospatial Data

The Relationship of Spatio-temporal Patterns of Mortality of Diseases Associated with Malnutrition and Food Establishments in Mexico

1 Introduction

2 Materials and Methods

2.1 Data Standardization

2.2 Statistical Analyses

3 Results and Discussion

4 Conclusions

References

Spatio-temporal Analysis of the Main Types of Road Incidents in Mexico City 2018-2022

2 Literature Review

3 Methodology

4 Results

5 Conclusions

A Louvain-Based Approach to Discover Communities and Spatial Relations in a Homicide Knowledge Graph

2.1 Study Area and Data

2.2 Louvain Algorithm

4 Conclusions and Future Work

Construction of a Prospective Scenario of Land Use and Cover Change for the Usumacinta River Basin, Indispensable Element for Regional Planning

2 Description of the Study Area and Data

3 Methods

4 Results and Discussion

Characteristics of Clandestine Burial Sites in Mexico: A Regional Overview with Multivariate Analysis

2 Background

3 Data

3.1 Clandestine Graves

3.2 Homicidal Violence and Disappearances

3.3 Variables About the Built Environment

4 Methodology

4.1 K-means Cluster Analysis

4.2 Clustering and Regionalization with Spatial Constraints

4.3 Statistically Significant Variables

5 Results and Discussion

6 Conclusions

Estimation of Land Surface Temperature Using Satellite Remote Sensing, a Case Study in the Cities from El Salvador: Berlin, Alegría, and Santiago de María

2 Related Work

3 Measurement and Methods.

3.1 Surface Temperature Measurement Using Remote Sensing

3.2 LST Using Landsat8 OLI-TIRS and QGIS

4 Case Study from El Salvador in the Cities: Berlin, Alegría, and Santiago de María

4.1 Procedure

4.2 Results

4.3 Discussion

5 Conclusion

Assessing Maize (Zea Mays) Biomass at Different Growth Stages: A UAV-Based Multispectral Study on Nitrogen Effects

2.1 Study Site

2.2 Field Measurements

2.3 UAV Flight and Data Processing

2.4 Analysis

2.5 Vegetation Indices

3 Results

4 Discussion

Machine Learning and Artificial Intelligence for Geoespatial Data and Problems

Evaluating the Effectiveness of Projection Techniques for the Semantic Segmentation of LIDAR-Captured Point Clouds

2 Overview of Methodology

2.1 Height Normalization and Point Alignment

2.2 2D Projection Techniques

2.3 Network Architecture

2.4 Label Propagation in 3D Point Cloud Segmentation

3 Experiments

3.1 Results

4 Conclusion and Future Directions

How to Integrate AI into Spatial Data Infrastructures: Evolution of the UCuenca SDI

2 Material and Method

2.1 Technologies Used to Update the UCuenca SDI Architecture

2.2 Virtual Assistant System Architecture

2.3 Virtual Assistant Design and Modeling

2.4 Wizard Training and Programming of Custom Functions

2.5 VA Deployment and Integration with the Spatial Data Infrastructure Portal

4 Evaluation

Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens? A Twitter Data Assessment for Mexico City

2 Methods

2.1 Data Acquisition

2.2 Data Preprocessing

2.3 Topic Modeling.

2.4 Data Analysis

Super-Resolution of LiDAR Data Using EDSR-CBAM Neural Networks

2.1 Super-Resolution Methods in Images

2.2 Networks with Attention Mechanisms for SR

2.3 Super-Resolution Methods in Point Clouds

3 Spherical Projection

4.1 The EDSR-CBAM Architecture Employed

4.2 Dataset Description

5 Experiments and Results

5.1 Preprocessing and Metrics of Quality

5.2 Training Details

5.3 Quantitative Evaluation of Results

6 Discussion

7 Conclusion

A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning

2 Methodology

2.2 Data Acquisition

2.3 Plant Counting

2.4 Coverage Estimation

2.5 Evaluation Criteria

3.1 Plant Counting

3.2 Coverage Estimation

Framing the Forest: A Comparative Analysis of Google Earth Engine Classifiers for Accurate Species Extraction

2 Material and Methods

2.1 Study Area

2.2 Materials

2.3 Methods

4 Discussion and Conclusion

Applications of Geospatial Data

Espacio Clandestino: A Nationwide Platform to Support Clandestine Graves Search in Mexico

2 Platform Design and Development

2.1 Clandestine Space: Concept and Realization

2.2 Additional Dimensions

3 Graves Data

4 Use Cases

4.1 Guerrero

4.2 Baja California

Susceptibility of the Vegetation to Forest Fires in the Dry Forest of Ocaña-Colombia

2.1 Fuel Type

2.2 Fuel Life

2.3 Fuel Load

2.4 Threat from Susceptibility of Vegetation to Fire.

3 Results

Identification of Hazard Zones Due Mass Movements in the Sierra Norte de Puebla, México

2 Description of the Study Area

5 Discussion

6 Conclusion

Appendix 1

Appendix 2

Analysis of Semivariogram Features to Infer Land Cover Textures in Satellite Imagery

2.1 Data Set

2.2 Semivariogram

3 Extraction of Texture Features Using Semivariogram

4.1 Differentiation of Coverage Types

4.2 Feature Analysis to Identify Cover Type Textures Using Images with Different Moisture Content

Citizen Participation in the Management of Territorial Information

2 The Management of Territorial Information in Parish Plans

3 Conclusions

Estimating Land Cover Changes Using Multi-temporal Spectral Index Raster Stacks in the Chinampas of Xochimilco

2.2 Material (Data, Hardware and Software)

3.1 Multi-temporal Spectral Index Analyses Year Comparison

3.2 Multi-temporal Spectral Index Analyses Year and Month Comparison

References.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-61440-2

OCLC:

1451534081