3

3D City Models

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

A

Accretion

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117

Accuracy Assessment

• Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing, pages 243–250

Agricultural land

• Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery, pages 41–48

Airborne Microplastics

• Near-Infrared Light and OpenCV as Components for Low-Cost Airborne Microplastic Detection Machine, pages 57–62

Aklan

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117

Analytical Hierarchy Process

• Geomatics Technology Education – Assessment of Learning Pedagogy, pages 219–225

Artificial Neural Fuzzy- Inference System

• Geomatics Technology Education – Assessment of Learning Pedagogy, pages 219–225

Assessment Methods

• Geomatics Technology Education – Assessment of Learning Pedagogy, pages 219–225

Automation

• Circinus: An AI-Based Technical Description Plotting, pages 25–31

air quality

• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158

augmented reality

• Demonstration of Immersive Technologies for Geospatial Learning, pages 1–7

awareness

• Increasing the Awareness of the Benefits of Earth Observation Applications through the Space Information Infrastructure Capacity Building and Training Program (SIICaP), pages 127–133

B

Break in Career

• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164

C

Capacity Building Training

• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164

Capacity-Building

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15

Chi-Square

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

Citizen Science

• Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing, pages 243–250

CityGML

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

Classification

• Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery, pages 41–48

Climate Change

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

Climate-Resilient

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

Cloud-based Processing

• Accuracy Assessment of an Image-Based Cloud-Based Indoor Mapping Platform as an Alternative for Desktop Applications, pages 17–24

Computer Vision

• Circinus: An AI-Based Technical Description Plotting, pages 25–31

Convolutional Neural Networks

• Circinus: An AI-Based Technical Description Plotting, pages 25–31
• Land Classification Plugin for QGIS Using Pix2Pix, pages 33–39

Cooling energy demand

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

Crop monitoring

• Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery, pages 41–48

capacity building

• Increasing the Awareness of the Benefits of Earth Observation Applications through the Space Information Infrastructure Capacity Building and Training Program (SIICaP), pages 127–133
• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158
• Optimization of Space Data Development and Distribution and Capacity Building in the Philippines through the PhilSA Integrated Network for Space Enabled Actions towards Sustainability (PINAS) Project, pages 235–242

challenges

• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

climate change

• Extracting above-ground biomass in areas corresponding to FAO’s definition of “Forest” using open geospatial data: Results for ASEAN, pages 89–94

collaborative research

• Collaborative Research for the Development of Localized Solar PV Output Forecasting Models for the Philippines Using Geospatial Data, pages 143–150

coral bleaching

• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

D

DSAS

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117

Deep Learning

• Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence, pages 251–257

Detection Machine

• Near-Infrared Light and OpenCV as Components for Low-Cost Airborne Microplastic Detection Machine, pages 57–62

Digitization

• Circinus: An AI-Based Technical Description Plotting, pages 25–31

damage assessment

• Ground Deformation and Damage Assessment using SAR Observations: A Case Study of Hinatuan, Philippines in the 2023 Surigao Del Sur Earthquake, pages 213–218

digital heritage

• Project-based Learning in a Geomatics Bachelor Program: A Digital Heritage Preservation Project, pages 103–110

E

Earth observation

• Increasing the Awareness of the Benefits of Earth Observation Applications through the Space Information Infrastructure Capacity Building and Training Program (SIICaP), pages 127–133

Erosion

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117

Explainable Artificial Intelligence

• Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence, pages 251–257

earthquake

• Ground Deformation and Damage Assessment using SAR Observations: A Case Study of Hinatuan, Philippines in the 2023 Surigao Del Sur Earthquake, pages 213–218

education

• Demonstration of Immersive Technologies for Geospatial Learning, pages 1–7
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

energy

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

F

Feature Selection

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

Forest carbon

• Extracting above-ground biomass in areas corresponding to FAO’s definition of “Forest” using open geospatial data: Results for ASEAN, pages 89–94

G

GIS

• Land Classification Plugin for QGIS Using Pix2Pix, pages 33–39
• Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province, pages 49–56
• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158
• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164

Geodesy and geoinformatics

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78

Geographic Information System

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

Geomatics

• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164

Geospatial Education Pedagogy

• Geomatics Technology Education – Assessment of Learning Pedagogy, pages 219–225

Germany

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78

Google Earth Engine

• Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam, pages 119–125

geomatics

• Project-based Learning in a Geomatics Bachelor Program: A Digital Heritage Preservation Project, pages 103–110

greenhouse gas inventory

• Extracting above-ground biomass in areas corresponding to FAO’s definition of “Forest” using open geospatial data: Results for ASEAN, pages 89–94

ground deformation

• Ground Deformation and Damage Assessment using SAR Observations: A Case Study of Hinatuan, Philippines in the 2023 Surigao Del Sur Earthquake, pages 213–218

H

hyperspectral satellite image

• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

I

IEC

• Nationwide Assessment of Solar PV Power Potential Using Geospatial Data and Collaborative Research with Higher Education Institutions: Case of the Philippines, pages 135–141

INSAT3D

• Investigation of thunderstorm characteristics with severe lightning events over NE region of India, pages 95–101
• Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera, pages 189–196

Image-based Navigation

• Accuracy Assessment of an Image-Based Cloud-Based Indoor Mapping Platform as an Alternative for Desktop Applications, pages 17–24

InSAR

• Ground Deformation and Damage Assessment using SAR Observations: A Case Study of Hinatuan, Philippines in the 2023 Surigao Del Sur Earthquake, pages 213–218

Indoor Space Modeling

• Accuracy Assessment of an Image-Based Cloud-Based Indoor Mapping Platform as an Alternative for Desktop Applications, pages 17–24

Infrared Sensors

• Near-Infrared Light and OpenCV as Components for Low-Cost Airborne Microplastic Detection Machine, pages 57–62

Integrated Network

• Optimization of Space Data Development and Distribution and Capacity Building in the Philippines through the PhilSA Integrated Network for Space Enabled Actions towards Sustainability (PINAS) Project, pages 235–242

insights

• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

instruments performance

• Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera, pages 189–196

J

job opportunities

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78

L

Land Classification

• Land Classification Plugin for QGIS Using Pix2Pix, pages 33–39

Land Survey Map

• Circinus: An AI-Based Technical Description Plotting, pages 25–31

Land Use Efficiency

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

Landcover

• Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery, pages 41–48

Landsat

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117
• Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam, pages 119–125

Ldproxy

• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

Lightning

• Investigation of thunderstorm characteristics with severe lightning events over NE region of India, pages 95–101

Lightning location network

• Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera, pages 189–196

laser scanning

• Project-based Learning in a Geomatics Bachelor Program: A Digital Heritage Preservation Project, pages 103–110

lightning characteristics

• Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera, pages 189–196

M

Machine Learning

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

mangrove changes

• Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam, pages 119–125

mixed reality

• Demonstration of Immersive Technologies for Geospatial Learning, pages 1–7

N

NER of India

• Investigation of thunderstorm characteristics with severe lightning events over NE region of India, pages 95–101

Nationwide Mangrove Mapping

• Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing, pages 243–250

Natural Disasters

• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

nationwide mapping

• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

O

ODK Collect

• Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing, pages 243–250

OGC API Standards

• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

Omnidirectional Image

• Accuracy Assessment of an Image-Based Cloud-Based Indoor Mapping Platform as an Alternative for Desktop Applications, pages 17–24

Open Source Geospatial Data

• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

Opensource software

• Circinus: An AI-Based Technical Description Plotting, pages 25–31

object-based image analysis

• Improving the Accuracy of RPA Image Classification in Vegetation Mapping of Magsaysay, Occidental Mindoro using RGB Indices, Canopy Heights, and Feature Importance Weighting, pages 181–188

optimization framework

• Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province, pages 49–56

P

PRISMA

• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

PV module waste

• Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province, pages 49–56

Participatory GIS

• Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing, pages 243–250

Performance Comparison

• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

Philippines

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Increasing the Awareness of the Benefits of Earth Observation Applications through the Space Information Infrastructure Capacity Building and Training Program (SIICaP), pages 127–133
• Collaborative Research for the Development of Localized Solar PV Output Forecasting Models for the Philippines Using Geospatial Data, pages 143–150
• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Photogrammetry

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15

Poplar Trees

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

participatory learning

• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

project-based learning

• Project-based Learning in a Geomatics Bachelor Program: A Digital Heritage Preservation Project, pages 103–110
• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

proximity analysis

• Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province, pages 49–56

Q

QGIS Plugin

• Land Classification Plugin for QGIS Using Pix2Pix, pages 33–39

R

REDD+

• Extracting above-ground biomass in areas corresponding to FAO’s definition of “Forest” using open geospatial data: Results for ASEAN, pages 89–94

Random Forest

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

Remote Sensing

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164
• Geomatics Technology Education – Assessment of Learning Pedagogy, pages 219–225
• Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence, pages 251–257

Rice crops

• Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery, pages 41–48

Rotation Forest

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

random forest

• Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam, pages 119–125
• Improving the Accuracy of RPA Image Classification in Vegetation Mapping of Magsaysay, Occidental Mindoro using RGB Indices, Canopy Heights, and Feature Importance Weighting, pages 181–188

remote sensing

• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158
• Evaluation of Indian Lightning Location Network (ILLN) and characterization of cloud-to-ground lightning over Lucknow and Shillong using an ordinary camera, pages 189–196
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

remote sensing and GIS

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78

research collaboration

• Nationwide Assessment of Solar PV Power Potential Using Geospatial Data and Collaborative Research with Higher Education Institutions: Case of the Philippines, pages 135–141
• Collaborative Research for the Development of Localized Solar PV Output Forecasting Models for the Philippines Using Geospatial Data, pages 143–150

S

SAM

• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

SDG 11.3.1

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

SDG Monitoring

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

SDG Visualization

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

SHAP

• Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence, pages 251–257

SPACE4SDGs

• Optimization of Space Data Development and Distribution and Capacity Building in the Philippines through the PhilSA Integrated Network for Space Enabled Actions towards Sustainability (PINAS) Project, pages 235–242

SST

• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

Seagrass

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15

Sentinel 1

• Ground Deformation and Damage Assessment using SAR Observations: A Case Study of Hinatuan, Philippines in the 2023 Surigao Del Sur Earthquake, pages 213–218

Sentinel-2

• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Shoreline

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117

Short-term training programme

• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

SimStadt 2.0

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

Space data needs assessment

• Optimization of Space Data Development and Distribution and Capacity Building in the Philippines through the PhilSA Integrated Network for Space Enabled Actions towards Sustainability (PINAS) Project, pages 235–242

Support Vector Machine

• Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy, pages 259–265

Sustainable Development Goals

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

sample cases

• Demonstration of Immersive Technologies for Geospatial Learning, pages 1–7

seagrass

• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

solar PV output forecasting

• Collaborative Research for the Development of Localized Solar PV Output Forecasting Models for the Philippines Using Geospatial Data, pages 143–150

solar PV power potential assessment

• Nationwide Assessment of Solar PV Power Potential Using Geospatial Data and Collaborative Research with Higher Education Institutions: Case of the Philippines, pages 135–141

space data applications

• Optimization of Space Data Development and Distribution and Capacity Building in the Philippines through the PhilSA Integrated Network for Space Enabled Actions towards Sustainability (PINAS) Project, pages 235–242

T

TSD facility

• Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province, pages 49–56

Thunderstorms

• Investigation of thunderstorm characteristics with severe lightning events over NE region of India, pages 95–101

training

• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158

U

UHIs

• Estimating Cooling Energy Demand from Building Attributes and Environmental Parameters using 3D City Models, pages 63–70

Unet

• Land Classification Plugin for QGIS Using Pix2Pix, pages 33–39

Unmanned Aerial System

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15

Urban Greenspaces

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

Urban Planning

• Leveraging Spatial Analysis Techniques for Developing a Climate Resilient and Localized Urban Greening Plan for Pasig City, pages 79–87

university structure

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78

unmanned aerial vehicle (UAV)

• Improving the Accuracy of RPA Image Classification in Vegetation Mapping of Magsaysay, Occidental Mindoro using RGB Indices, Canopy Heights, and Feature Importance Weighting, pages 181–188

V

Vietnam

• Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam, pages 119–125

vegetation cover

• Improving the Accuracy of RPA Image Classification in Vegetation Mapping of Magsaysay, Occidental Mindoro using RGB Indices, Canopy Heights, and Feature Importance Weighting, pages 181–188

virtual reality

• Demonstration of Immersive Technologies for Geospatial Learning, pages 1–7

W

WRF

• Investigation of thunderstorm characteristics with severe lightning events over NE region of India, pages 95–101

Web GIS

• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

WebGIS

• Nationwide Assessment of Solar PV Power Potential Using Geospatial Data and Collaborative Research with Higher Education Institutions: Case of the Philippines, pages 135–141
• OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping, pages 197–203

Wildfire

• Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence, pages 251–257

Women Scientist

• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164