Recent Developments in Geospatial Information Sciences

Name: Recent Developments in Geospatial Information Sciences | Selected Papers from iGISc 2023
Brand: Springer
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Selected Papers from iGISc 2023

Hugo Carlos-Martinez Rodrigo Tapia-McClung Daniela Alejandra Moctezuma-Ochoa Ana Josselinne Alegre-Mondragón(Editor)

Springer (Publisher)

1st Edition

Published on 30. July 2024

XV, 254 pages

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978-3-031-61440-8 (ISBN)

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Content

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
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusions
References
A Louvain-Based Approach to Discover Communities and Spatial Relations in a Homicide Knowledge Graph
1 Introduction
2 Materials and Methods
2.1 Study Area and Data
2.2 Louvain Algorithm
3 Results and Discussion
4 Conclusions and Future Work
References
Construction of a Prospective Scenario of Land Use and Cover Change for the Usumacinta River Basin, Indispensable Element for Regional Planning
1 Introduction
2 Description of the Study Area and Data
3 Methods
4 Results and Discussion
5 Conclusions
References
Characteristics of Clandestine Burial Sites in Mexico: A Regional Overview with Multivariate Analysis
1 Introduction
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
References
Estimation of Land Surface Temperature Using Satellite Remote Sensing, a Case Study in the Cities from El Salvador: Berlin, Alegría, and Santiago de María
1 Introduction
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
References
Assessing Maize (Zea Mays) Biomass at Different Growth Stages: A UAV-Based Multispectral Study on Nitrogen Effects
1 Introduction
2 Materials and Methods
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
5 Conclusions
References
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
1 Introduction
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
References
How to Integrate AI into Spatial Data Infrastructures: Evolution of the UCuenca SDI
1 Introduction
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
3 Results
4 Evaluation
5 Conclusions
References
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
1 Introduction
2 Methods
2.1 Data Acquisition
2.2 Data Preprocessing
2.3 Topic Modeling
2.4 Data Analysis
3 Results and Discussion
4 Conclusions
References
Super-Resolution of LiDAR Data Using EDSR-CBAM Neural Networks
1 Introduction
2 Literature Review
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 Methodology
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
References
A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning
1 Introduction
2 Methodology
2.1 Study Site
2.2 Data Acquisition
2.3 Plant Counting
2.4 Coverage Estimation
2.5 Evaluation Criteria
3 Results and Discussion
3.1 Plant Counting
3.2 Coverage Estimation
4 Conclusions
References
Framing the Forest: A Comparative Analysis of Google Earth Engine Classifiers for Accurate Species Extraction
1 Introduction
2 Material and Methods
2.1 Study Area
2.2 Materials
2.3 Methods
3 Results
4 Discussion and Conclusion
References
Applications of Geospatial Data
Espacio Clandestino: A Nationwide Platform to Support Clandestine Graves Search in Mexico
1 Introduction
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
5 Results and Discussion
References
Susceptibility of the Vegetation to Forest Fires in the Dry Forest of Ocaña-Colombia
1 Introduction
2 Methodology
2.1 Fuel Type
2.2 Fuel Life
2.3 Fuel Load
2.4 Threat from Susceptibility of Vegetation to Fire
3 Results
4 Conclusions
References
Identification of Hazard Zones Due Mass Movements in the Sierra Norte de Puebla, México
1 Introduction
2 Description of the Study Area
3 Methodology
4 Results
5 Discussion
6 Conclusion
Appendix 1
Appendix 2
References
Analysis of Semivariogram Features to Infer Land Cover Textures in Satellite Imagery
1 Introduction
2 Materials and Methods
2.1 Data Set
2.2 Semivariogram
3 Extraction of Texture Features Using Semivariogram
4 Results
4.1 Differentiation of Coverage Types
4.2 Feature Analysis to Identify Cover Type Textures Using Images with Different Moisture Content
5 Conclusion
References
Citizen Participation in the Management of Territorial Information
1 Introduction
2 The Management of Territorial Information in Parish Plans
3 Conclusions
References
Estimating Land Cover Changes Using Multi-temporal Spectral Index Raster Stacks in the Chinampas of Xochimilco
1 Introduction
2 Material and Methods
2.1 Study Area
2.2 Material (Data, Hardware and Software)
2.3 Methods
3 Results
3.1 Multi-temporal Spectral Index Analyses Year Comparison
3.2 Multi-temporal Spectral Index Analyses Year and Month Comparison
4 Discussion
5 Conclusions
References

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Recent Developments in Geospatial Information Sciences

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