A

Aceron, J. C. F.

• 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

Aggarwal, S. P.

• 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

Allard, J. M.

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

Almonte, J. P.

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

Amaduzzi, S.

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

Aranas, R. K.

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

Arceo, G. M.

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

Argamosa, R. J.

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

Atara, D. M.

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

De Asis, A. M.

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

B

Bacolcol, T. C.

• 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

Bajao, P. J.

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

Bantay, K.

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

Bantay, K. M.

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

Bauer, P.

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

Bauzon, Ma. D. A. I.

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

Bedi, A. M.

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

Behr, F.-J.

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

Benitez, I. B.

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

Bhandari, K.

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

Blanco, A.

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117
• Increasing the Awareness of the Benefits of Earth Observation Applications through the Space Information Infrastructure Capacity Building and Training Program (SIICaP), pages 127–133
• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211
• 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

Blanco, A. C.

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

Bolkas, D.

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

Borlongan, N. J.

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

Buenavista, G. E.

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

C

Candido, C.

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Candido, C. G.

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

Carcellar III, B.

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

Cayetano, M.

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

Cañete, J. M.

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

Chakravorty, A.

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

Chhari, A.

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

Claridades, A. R. C.

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

Cubillas, J. E.

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

Cueto, J. R.

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

D

Daguil, R.

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

Dayrit, R.

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

Dela Cruz, C. M.

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

Detchev, I.

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

Diccion, A. Jr. L.

• 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

Discutido, C. D. J.

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

Domkawale, M.

• 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

Duka, J. A.

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

Duong, T. L.

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

Duran, J. Z.

• 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

E

Esmeralda, A. K. B.

• 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

F

Fargas Jr., D. C.

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

G

Galut, A.

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

Gogoi, R. B.

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

Gopalkrishnan, V.

• 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

H

Hamamoto, K.

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

Harada, M.

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

Heipke, C.

• Studying Geodesy and Geoinformatics - a German university perspective, pages 71–78
• Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets, pages 173–180

I

Ibañez, C. A.

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

Ibañez, J. A.

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

J

Johnson, B. A.

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

K

Katwala, S.

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

Kumar, M.

• 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

Kundu, S. S.

• 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

L

Ladai, A.

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

Lin, C.-H.

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

M

Martinez, K.

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Mayol, J.

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

N

Nadaoka, K.

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Nerves, A.

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

Nguyen, M. H.

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

Nguyen, M. V.

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

Nguyen, N. T.

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

Nguyen, T. B.

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

O

Obras, J. M.

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

Ochiai, O.

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

O’Banion, M.

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

P

Palec, L.

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

Palma, J. A.

• 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

Pangasinan, J.

• 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

Panlilio, K.

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

Pante, C. N.

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

Parisi, E. I.

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

Pawar, S. D.

• 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

Principe, J.

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

Principe, J. A.

• 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

Purio, M. A.

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

R

Ramos, R.

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

Rawal, D.

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

Recto, B. A.

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

Rivera, F. D.

• Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS), pages 111–117
• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172

Ryadi, G. Y. I.

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

S

Santillan, J. R.

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

Sarmiento, C. J.

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

Schön, S.

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

Sia, A. A. L. R.

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

Soriano, F. A.

• 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

Sotto, M. E.

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

Srivastava, A.

• 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

Sta. Ana, R. R.

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

Sulaeman, L. F. P.

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

T

Tabuzo, J. H. B.

• 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

Tadono, T.

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

Tamondong, A.

• DRONES4BLUECARBONSEAGRASS: A Capacity-Building Program for Mapping Seagrasses using Unmanned Aerial System (UAS) Technology in the Philippines, pages 9–15
• Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE, pages 151–158
• Coral Bleaching Detection Using PRISMA Hyperspectral Satellite Imagery in Calatagan, Batangas, pages 165–172
• Towards Nationwide Mapping of Seagrasses in the Philippines: Empowering Students through Remote Sensing Education, pages 205–211

Tandoc, J. A.

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

Tinio, M. L.

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

Tirol, Y.

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

Torculas, R.

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

Torres, R. A.

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

Traen, J. L.

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

U

Umemiya, C.

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

V

Varela, R. K. P.

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

Vyas, A.

• Geomatics: Technology and Applications - A Training Programme for Women Scientists, pages 159–164
• An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions, pages 227–234

Y

Young, P. A.

• 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

Yumul-Calzado, T.

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

Z

Zablan, C. D. C.

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