A

Abrego, C. J.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

Ahumada Murillo, M. O.

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8

Aladejana, O.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Alarcón, C.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Albuquerque, A.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Albuquerque, A. M.

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14
• Applicability of Radio Occultation Data for Atmospheric Temperature Estimation over the São Francisco River Basin, pages 301–306

Alencar, C. J.

• Automatic urban trees detection from airborne LiDAR data using 3D descriptor and intensity, pages 15–20

Ali, F.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Aliaga, W.

• Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification, pages 21–26

Almeida, V. R. A.

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61

Alvarez, C.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54

Alvarez, C. I.

• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

Alves, D.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Alves, D. B. M.

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14
• Applicability of Radio Occultation Data for Atmospheric Temperature Estimation over the São Francisco River Basin, pages 301–306
• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341
• APPPOLO: A Brazilian Processing Software for Multi-GNSS Precise Point Positioning, pages 379–385

Alves, L. E.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Amorim, J.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

Amorim, N.

• High-Accuracy Corridor Mapping Without GCPs: Assessing Precisions of DSMs Generated from UAS Photogrammetry with On-Site Pre-Calibration, pages 293–300

Antonio Durán, Y. Z.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

Antonio, N. D.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

Araki, H.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291
• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Arellana, J.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Avila George, H.

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8

Ayma Quirita, V. A.

• Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification, pages 21–26

Ayma Quirita, V. H.

• Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification, pages 21–26

de Abreu, M.

• High-Accuracy Corridor Mapping Without GCPs: Assessing Precisions of DSMs Generated from UAS Photogrammetry with On-Site Pre-Calibration, pages 293–300

de Almeida, C. A.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

de Almeida, C. M.

• Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy, pages 313–318

de Assis, G. A.

• Potential of SAR-derived features for detecting structural variations in coffee plots, pages 85–92

B

Badolato, I. D. S.

• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163
• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

Bahamonde, F.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Barbosa, F. G. O.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Bayma, G.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Bazan, W. S.

• Radiometric Correction of Landsat 8 Imagery Using Open-Source Software and its Impact on Spectral Index Derivation: A Case Study in the Southern Expanded Metropolitan Microregion of Espírito Santo State, Brazil, pages 27–34
• Accuracy of Reconstruction with Short baseline from a Single-frame Multispectral Camera, pages 327–334

Beninato, S.

• ERA5-Land: soil moisture dry-downs detection over the Argentine Pampas, pages 35–40

Berenhauser Leite, G.

• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218

Bergier, I.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Biasi, C. E. P.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Bolfe, É. L.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Borges, H. R. M.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Bressani, M.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Brito, E. L. D. S.

• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

Burgos, M. E.

• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

C

Caceres, J. B.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Camarinha, P. I. M.

• Detecting Urban Deforestation: A Semantic Segmentation Approach, pages 197–203

Camboim, S. P.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

Carvalho, M. S.

• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163

Castanheiro, L. F.

• Accuracy of Reconstruction with Short baseline from a Single-frame Multispectral Camera, pages 327–334

Castro-Rodas, D.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

Cavassim, A. P.

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61
• Geospatial Vegetation Dynamics Estimate Based on Multitemporal Remote Sensing at the Passaúna Basin, pages 63–69

Centeno, J. A. S.

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61
• Geospatial Vegetation Dynamics Estimate Based on Multitemporal Remote Sensing at the Passaúna Basin, pages 63–69
• Integration of UAV-GNSS-GIS Technologies in a University Extension Project for Religious Cemetery Management: A Case Study at Martin Luther Church (Ibirama - Brazil), pages 387–391

Chamorro Martinez, J. A.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Coelho, L. C. T.

• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163
• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

Collegio, G. R.

• UAV-based Unsupervised Domain Adaptation for Road Extraction, pages 79–84

Correa, J. P. M.

• Potential of SAR-derived features for detecting structural variations in coffee plots, pages 85–92

Costa, G. A. O. P.

• Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification, pages 21–26

Cárdenas, C.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147
• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269
• Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributed conceptual model (SCM), pages 307–312

da Costa, B. P.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

D

Dabbous, V. M. B.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Degano, M. F.

• ERA5-Land: soil moisture dry-downs detection over the Argentine Pampas, pages 35–40

Dibbern, I.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Donadon, A.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

E

Elezi, K.

• Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning, pages 121–126

Escobedo Tamez, A.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

F

F. de Oliveira, A.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Facina, M.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Faria Junior, C. S.

• MLP-Based Classification of Multispectral Point Clouds for Digital Agriculture, pages 271–277

Farias, L. F.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Favretto, M. A.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Feitosa, R. Q.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77
• Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning, pages 121–126
• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Fernandoy, F.

• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269

Fernández, G. H.

• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140

Ferral, A.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Ferrari, F.

• Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning, pages 121–126

Figueroa, R.

• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

Frangopulos, M.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Freire-Granda, D.

• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155
• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

Fuchs, P.

• Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributed conceptual model (SCM), pages 307–312

Furtado, L. F. D. A.

• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163
• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

de Freitas, D. D.

• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

G

Galo, M.

• Automatic urban trees detection from airborne LiDAR data using 3D descriptor and intensity, pages 15–20
• Radiometric Correction of Landsat 8 Imagery Using Open-Source Software and its Impact on Spectral Index Derivation: A Case Study in the Southern Expanded Metropolitan Microregion of Espírito Santo State, Brazil, pages 27–34
• Coarse-to-Fine Approach for Tree Point Cloud Registration Based on Relaxation Labeling, pages 93–98
• Decision-rule-based Pipeline to Detect Overhead Power Lines and Vegetation Contact Areas Using Mobile LiDAR Data in Brazilian Urban Regions, pages 105–111
• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212
• MLP-Based Classification of Multispectral Point Clouds for Digital Agriculture, pages 271–277

Galo, M. D. L. B. T.

• Potential of SAR-derived features for detecting structural variations in coffee plots, pages 85–92
• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212
• Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis, pages 235–240

Galo, M. L. B. T.

• Radiometric Correction of Landsat 8 Imagery Using Open-Source Software and its Impact on Spectral Index Derivation: A Case Study in the Southern Expanded Metropolitan Microregion of Espírito Santo State, Brazil, pages 27–34

Galvanin, E. A. D. S.

• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178

Garcia, R.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Gayol, M.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Gomez, R. A.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

González Bianco, F.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Gonçalves, W. N.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247

Gouveia, T.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Gouveia, T. A. F.

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14
• Applicability of Radio Occultation Data for Atmospheric Temperature Estimation over the São Francisco River Basin, pages 301–306
• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

Greza, M.

• Transferability and Generalization Investigation of Multiclass Cloud Masking Networks for unseen Biomes and Sensors - A Study on PlanetScope, Platero and Sentinel-2, pages 185–190

Grings, F.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Grynszpan, I.

• Detecting Urban Deforestation: A Semantic Segmentation Approach, pages 197–203

Guedes, P. H. P.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Guedes, P. P.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Guimarães Filho, A. G.

• UAV-based Unsupervised Domain Adaptation for Road Extraction, pages 79–84

Guimarães, Y. C.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

H

Habib, A.

• UAV-based Unsupervised Domain Adaptation for Road Extraction, pages 79–84

Happ, P. N.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Harano, F. K. F.

• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178

Holzman, M. E.

• ERA5-Land: soil moisture dry-downs detection over the Argentine Pampas, pages 35–40

I

Imai, N. N.

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104
• Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis, pages 235–240

Iriarte, J. L.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

J

Jerez, G. O.

• Applicability of Radio Occultation Data for Atmospheric Temperature Estimation over the São Francisco River Basin, pages 301–306
• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

Jijón-Palma, M. E.

• Geospatial Vegetation Dynamics Estimate Based on Multitemporal Remote Sensing at the Passaúna Basin, pages 63–69

Johnson, E.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147
• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269

Jorge, L. A. D. C.

• Discriminative Spectral Regions for Detecting Huanglongbing in Citrus Plants through Statistical Analysis, pages 255–262

Jutzi, B.

• Transferability and Generalization Investigation of Multiclass Cloud Masking Networks for unseen Biomes and Sensors - A Study on PlanetScope, Platero and Sentinel-2, pages 185–190

K

Kikuti, R. O.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225

L

Lacerda, C. A. M.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Leiva, F.

• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

Lemes Neto, N.

• Potential of SAR-derived features for detecting structural variations in coffee plots, pages 85–92
• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212

Liesenberg, V.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Lima, F. D. O.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Lobo Torres, D.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

da Luz, M. P.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

M

Machado, B. L.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225

Machado, V. S.

• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247

Macêdo Filho, H. F.

• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218

Maia, A. B.

• Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy, pages 313–318

Majin Erazo, J.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Mansilla, A.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Marcato Junior, J.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247

Marienlli, M. V.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Marques, W. H. G.

• Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis, pages 235–240

Marrafon, G.

• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247

Martinez, J. P.

• Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning, pages 121–126

Martinez, J. P. J. D. A.

• Detecting Urban Deforestation: A Semantic Segmentation Approach, pages 197–203

Martins-Neto, R. P.

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104

Massruhá, S. M. F. S.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Mendes, C. F.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Mestre, N.

• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269

Mitishita, E.

• High-Accuracy Corridor Mapping Without GCPs: Assessing Precisions of DSMs Generated from UAS Photogrammetry with On-Site Pre-Calibration, pages 293–300

Monico, J.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Monico, J. F. G.

• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

Morandeira, N.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Morata Bortoloto Junior, M.

• Discriminative Spectral Regions for Detecting Huanglongbing in Citrus Plants through Statistical Analysis, pages 255–262

Moro, E.

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104

Mota, G. L. A.

• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

Muguio, D. Z.

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61

Muñoz, L.

• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269

de Magalhães, L. P.

• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140

N

Nascimento, C.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Nascimento, D. T. F.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

Nascimento, E. S.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

Nespolo, R. S.

• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

Neves, S. M. A. D. S.

• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178

Norberto, I. S.

• MLP-Based Classification of Multispectral Point Clouds for Digital Agriculture, pages 271–277

Nunes, D. M.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

O

Ordoñez Erazo, H. A.

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8

Osco, L. P.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247
• Discriminative Spectral Regions for Detecting Huanglongbing in Citrus Plants through Statistical Analysis, pages 255–262

de Oliveira, H. C.

• Human detection with YOLO for last-mile delivery applications using UAVs, pages 349–356

de Oliveira, J. A.

• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140

de Oliveira, R. A.

• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212

de Oliveira, R. A. R.

• Decision-rule-based Pipeline to Detect Overhead Power Lines and Vegetation Contact Areas Using Mobile LiDAR Data in Brazilian Urban Regions, pages 105–111

de Oliveira, R. F.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

P

Dal Poz, A. P.

• UAV-based Unsupervised Domain Adaptation for Road Extraction, pages 79–84

Palacios, A.

• Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification, pages 21–26

Pandolfo, C.

• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218

Pereira, L. C. C.

• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

Pereira, M. D. A.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

Peres, I.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Perez, D. C.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

Peña-Villacreses, G.

• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

Piovesan, S. D.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Pires, A. P. F.

• Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools, pages 165–171

Pisetta, J.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

Pitombeira, K.

• High-Accuracy Corridor Mapping Without GCPs: Assessing Precisions of DSMs Generated from UAS Photogrammetry with On-Site Pre-Calibration, pages 293–300

Pizarro, G.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Pompei, M. J.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Pontes, J. I.

• Applicability of Radio Occultation Data for Atmospheric Temperature Estimation over the São Francisco River Basin, pages 301–306

Pérez Martínez, M.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

de Pina, M. D. F. R. P.

• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163

Q

Quispe, G.

• Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributed conceptual model (SCM), pages 307–312

Quiñones, J. L. A.

• Spectral Index for classifying glacier debris distribution and thickness using Multispectral UAV imagery: A case study at Juncal Norte Glacier, Central Andes of Chile, pages 263–269

R

Rabatel, A.

• Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributed conceptual model (SCM), pages 307–312

Ramos, A. P. M.

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery, pages 241–247
• Discriminative Spectral Regions for Detecting Huanglongbing in Citrus Plants through Statistical Analysis, pages 255–262

Rampersad, R.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Reimold, W. U.

• Characterization of Brazilian impact structures based on interpretations of Sentinel-1 C-band dual-polarization (VV and VH) data, pages 319–326

Revollo, N.

• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178

Ribeiro, R. M. R.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Rivas, R. E.

• ERA5-Land: soil moisture dry-downs detection over the Argentine Pampas, pages 35–40

Rivera Caicedo, J. P.

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8

Rocha, E. S.

• Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy, pages 313–318

Rodríguez González, K. D.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

Roitberg, E.

• Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest, pages 191–196

Ruiz, P. R. D. S.

• Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy, pages 313–318

Russo, G. M.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

S

Saint Ville, A.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Sais, A. C.

• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140

Salazar, J. D.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Salgado, P.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Sanclemente Ordoñez, E.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54

Sanclemente, E.

• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

Sano, E. E.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Santos, L. B. L.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155

Scavuzzo, C. M.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Schimalski, J. V.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Schimalski, M. B.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Seppi, S. A.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Setti Jr, P. D. T.

• APPPOLO: A Brazilian Processing Software for Multi-GNSS Precise Point Positioning, pages 379–385

Silva, A. B.

• Characterization of Brazilian impact structures based on interpretations of Sentinel-1 C-band dual-polarization (VV and VH) data, pages 319–326

Silva, B. C.

• Accuracy of Reconstruction with Short baseline from a Single-frame Multispectral Camera, pages 327–334

Silva, D. A.

• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218

Silva, E. B.

• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218

Silva, J. L. E. A.

• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341

Silva, L.

• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

Silva, S. V. A. A. E.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Simões, D. P.

• Human detection with YOLO for last-mile delivery applications using UAVs, pages 349–356

Soler, L. S.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

Soruco, A.

• Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributed conceptual model (SCM), pages 307–312

Soto Vega, P.

• Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection, pages 71–77

Souza, F. A.

• Mapping with Words: Integrating Large Language Models into Geospatial Practice, pages 285–291

Souza, L.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

da Silva, M. F.

• Coarse-to-Fine Approach for Tree Point Cloud Registration Based on Relaxation Labeling, pages 93–98

da Silva, R. C. E.

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104

da Silva, R. M.

• MLP-Based Classification of Multispectral Point Clouds for Digital Agriculture, pages 271–277
• Accuracy of Reconstruction with Short baseline from a Single-frame Multispectral Camera, pages 327–334

da Silveira, D. S.

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104

de Siqueira, M.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

de Souza Silva, I.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

de Souza, F. C.

• Using Brazil Data Cube and Satellite Image Time Series to map Land Use and Land Cover around the reservoir of the Batalha Hydroelectric Power Plant, Goiás (Brazil), pages 113–120

de Souza, I. N.

• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

dos Santos, R. C.

• Automatic urban trees detection from airborne LiDAR data using 3D descriptor and intensity, pages 15–20
• Coarse-to-Fine Approach for Tree Point Cloud Registration Based on Relaxation Labeling, pages 93–98

dos Santos, R. L.

• Human detection with YOLO for last-mile delivery applications using UAVs, pages 349–356

T

Teodoro, H. G.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Thongs, G.

• Forecasting Trinidad's Evolving Flood Future: A Susceptibility Mapping Approach with Long-Term Rainfall Projections (2010-2100), pages 357–363

Tommaselli, A. M. G.

• Radiometric Correction of Landsat 8 Imagery Using Open-Source Software and its Impact on Spectral Index Derivation: A Case Study in the Southern Expanded Metropolitan Microregion of Espírito Santo State, Brazil, pages 27–34
• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104
• MLP-Based Classification of Multispectral Point Clouds for Digital Agriculture, pages 271–277
• Accuracy of Reconstruction with Short baseline from a Single-frame Multispectral Camera, pages 327–334

Toro, C.

• Environmental drivers determined by remote sensing and in-situ measurements during a spring phytoplankton bloom event in the fjords and channels of southern Chile, pages 141–147

Toth, C.

• High-Accuracy Corridor Mapping Without GCPs: Assessing Precisions of DSMs Generated from UAS Photogrammetry with On-Site Pre-Calibration, pages 293–300

Treviño Carreón, J.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

V

Vani, B.

• NEPTool: An Automated Tool for Neutrospheric Variables, GNSS Delay and PWV Modeling, pages 179–184

Velastegui-Montoya, A.

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2, pages 149–155
• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284

Victoria, D. C.

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47

Violada, P. A.

• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

W

Wagenmacher, R. L.

• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Waltrick, V. L.

• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

Watanabe, F. S. Y.

• Radiometric Correction of Landsat 8 Imagery Using Open-Source Software and its Impact on Spectral Index Derivation: A Case Study in the Southern Expanded Metropolitan Microregion of Espírito Santo State, Brazil, pages 27–34
• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212
• Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis, pages 235–240
• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Y

You, T.

• Transferability and Generalization Investigation of Multiclass Cloud Masking Networks for unseen Biomes and Sensors - A Study on PlanetScope, Platero and Sentinel-2, pages 185–190

Yépez-Rincón, F. D.

• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134

Z

Zanchetta, G.

• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Zaupa, J. P. V.

• Ionospheric Scintillation in Brazil: Analysis and Its Impact on GNSS Loss of Lock, pages 335–341
• APPPOLO: A Brazilian Processing Software for Multi-GNSS Precise Point Positioning, pages 379–385

Zucatelli, G. F.

• Integration of UAV-GNSS-GIS Technologies in a University Extension Project for Religious Cemetery Management: A Case Study at Martin Luther Church (Ibirama - Brazil), pages 387–391