3

360 Imagery

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

3D Mapping

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

3D Reconstruction

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

3D cloud

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

6

6S Algorithm

• 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

A

Aerial high-resolution imagery

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

Agriculture

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47
• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Amazon

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

Amazon Biome

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

Araucaria angustifolia

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

Atlantic Forest

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

Atmospheric Correction

• 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

Atmospheric sounding

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

Autoencoders

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

Automatic data annotation

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

agricultural systems

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

B

Backscatter Coefficient

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

Basic infrastructure

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

Bayesian inference

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

Bees

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

Belo Horizonte

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

Binary encoding

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

Biodiversity

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

C

COSMIC-2

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

Cartography

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

Chaco Forest

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

Chilean Andes Cordillera

• 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

Climate Change Impacts

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

Climate monitoring

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

Close-range Photogrammetry

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

Cloud Masking

• 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

Coastal pollution

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

Coffee Cultivation

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

Conservation Index

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

Convergence Time

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

cemetery mapping

• 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

change detection

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

citrus disease

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

community GIS

• 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

crop characterization

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

D

Data collection

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

Debris cover glacier

• 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

Deep Learning

• Detecting Urban Deforestation: A Semantic Segmentation Approach, pages 197–203
• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233
• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Deep learning

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254
• Human detection with YOLO for last-mile delivery applications using UAVs, pages 349–356

DeepLabV3

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

Deforestation

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

Demography

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

Depth Anything V2

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

Depth Estimation

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

Digital Elevation Model (DEM)

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

Dimensionality Reduction

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

Disease Identification

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

Domain Adversarial Neural Network

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

Drone

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

Drought

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

deep learning

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

deforestation

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61
• Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning, pages 121–126

drone

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

E

Early warning

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

Educational material

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

Electric transmission lines

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

Environmental Science

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

environmental drivers

• 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

environmental monitoring

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61
• Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks, pages 205–212

ethics

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

F

Feature Matching

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

Flooding

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

Forest fires

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

Foundation Models

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

Fusarium wilt

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

fjords and channels

• 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

forestry

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

G

GIS

• Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data, pages 41–47
• GIS mapping of Allochthonous Marine Litter across the Brazilian Amazon Coast, pages 279–284
• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

GNSS

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

GNSS Estimation

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

GNSS survey

• 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

GNSS-Assisted Aerial Triangulation

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

GOES satellites

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

Geodetic Remote Sensing

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

Geographical Information System

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

Geometric tensors

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

Geospatial Analysis

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

Global Navigation Satellite Systems (GNSS)

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14

Gravimetric Soil Moisture

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

geoprocessing

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

geospatial database

• 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

grassland

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

H

HLB detection

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

Harmful Algal Blooms (HABs)

• 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

Hough Transform

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

Hydroelectric dams

• 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

Hyperspectral Image Classification

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

hyperspectral data

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

I

Image Registration

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

Impact cratering research

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

In-situ camera calibration

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

Indicator

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

Intensive Agricultural Lands

• 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

International Panel on Climate Change

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

Ionosphere

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

Iterative Closest Point

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

i.atcorr

• 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

K

K-Means

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

L

LULC

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

LULC changes

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

Land Surface Models (LSMs)

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

Land Use and Land Cover

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

Land cover

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

Landsat

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61

Landsat 8

• 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

LiDAR

• Automatic urban trees detection from airborne LiDAR data using 3D descriptor and intensity, pages 15–20
• Urban Morphology and Infrastructure Patterns: A LiDAR-Based 3D Cluster Analysis Using Verticalization as a Proxy, pages 313–318

LiDAR Data

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

Limited Training Data

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

Loss of Lock

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

language models

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

logistics

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

M

Machine Learning

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

MapBiomas

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

Mapbiomas

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

Marine debris

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

Mass balance

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

Meteorological Events

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

Metric3Dv2

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

Mining detection

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

Multi-GNSS

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

Multispectral

• 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

Multispectral Camera

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

Multispectral image

• 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

Multispectral images

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

machine learning

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8
• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104

multimodal fusion

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

multitemporal analysis

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

N

NDVI

• 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

natural language processing

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

neighborhood-scale modeling

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

nitrogen content

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

O

Offshore Oil Platforms

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

On-the-job camera calibration

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

Orthogonal Autoencoders

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

P

PWV

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

Patchfusion

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

Petrobras

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

Phenological stages

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

Photogrammetry

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

Point cloud processing

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

Pollinators

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

Population Estimate

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

Power distribution lines

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

Precipitable Water Vapour (PWV)

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14

Precise Point Positioning

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

Precision Agriculture

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

Precision agriculture

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

parametric statistical methods

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

path planning

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

photogrammetry

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

pixel-level analysis

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

point cloud

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

precision agriculture

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

R

Radio Occultation

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

Radiometric Correction

• 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

Radiosonde

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

Rainfall

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14

Random Forest

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

Regional Development

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

Remote Sensing

• Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023), pages 55–61
• Potential of SAR-derived features for detecting structural variations in coffee plots, pages 85–92
• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140
• Per-pixel population estimates in Western Amazon using limited remote sensing and spatial data, pages 157–163
• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178
• Detecting Urban Deforestation: A Semantic Segmentation Approach, pages 197–203
• Analysis of Spectral Reflectance Derived from UAV-Embedded Multispectral and Thermal Sensors as a Function of Soil Moisture Gradient, pages 213–218
• Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging, pages 371–378

Remote sensing

• Automatic urban trees detection from airborne LiDAR data using 3D descriptor and intensity, pages 15–20
• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233
• Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis, pages 235–240
• Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries, pages 365–370

Representation Learning

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

Rio de Janeiro

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

Road Extraction

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

real-time

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

remote sensing

• Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico, pages 1–8
• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104
• 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

river

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

S

SAR

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

SIDS

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

Satellite Image Time Series

• 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

Satellite Imagery

• 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

Satellite imagery

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

Satellite images

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

Satellite-based monitoring

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

Scintillation

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

Secondary forests

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

Self Organizing Maps

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

Semantic segmentation

• Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks, pages 219–225
• HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images, pages 227–233

Semi-distributed Concept Model (SCM)

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

Sentinel-1

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

Soil Protection

• 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

Spatial inequality

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

Spectral Reflectance Analysis

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

Structural geology

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

Surface Reflectance

• 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

Sustainable urban development

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

Synthetic Aperture Radar

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

Synthetic Aperture Radar (SAR)

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

satellite alerts

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

semantic segmentation

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

semantics

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

socio-environmental problems

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

soil profile

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

southern Chile

• 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

spatial granularity

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

spectral feature selection

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

spectral index

• 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

T

Temperature profiles

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

Terrestrial LASER Scanning

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

Territorial Planning

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

Territorial planning

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

Thermal Infrared Imagery

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

Thermal and Multispectral Sensor Data

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

Thermal patterns

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

Time series analysis

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

Transformer

• 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

Transformer Vision Models

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

Tree detection

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

Tropical Glaciers

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

terrestrial

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

time series analysis

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

U

U-Net

• 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

UAV

• Estimation of grassland nitrogen content using UAV ultra-wide RGB images, pages 99–104
• Analysis of socio-environmental problems in the La Silla River, Monterrey, México: An approach with UAV geospatial data (LiDAR and RGB), pages 127–134
• 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

UAV imagery

• UAV-based Unsupervised Domain Adaptation for Road Extraction, pages 79–84
• First Insights into Brazilian Pine Detection in Open Fields Using YOLOv11 and UAV Data, pages 249–254

UAV photogrammetry

• 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

Unmanned Aerial Vehicle

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

Unmanned Aerial Vehicle (UAV)

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

Unsupervised Domain Adaptation

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

Urban Deforestation

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

Urban Forests

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

Urban Heat Island

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

Urban Sprawl

• Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil, pages 49–54
• Spatial and urban transformations linked with COMPERJ in Eastern Metropolitan Rio de Janeiro, pages 135–140

Urban expansion

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

Urban forestry

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

Urban forests

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

ultra-wide images

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

university extension

• 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

urban planning

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

urban tree canopy

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

V

Vegetation height

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

Vegetation management

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

Verticalization

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

vegetation

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

W

Wetlands

• Spatiotemporal Analysis of Wetland Conversion and Water Body Decline in the Brazilian Pantanal, pages 173–178
• Conservation Index for lentic ecosystems for an urban coastal wetland in south-central Chile - Rocuant Andalien, pages 343–347

weather data

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

Y

YOLOv11

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

Z

ZTD

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

Zenith Wet Day (ZWD)

• Precipitable Water Vapour Estimation from GNSS Observations: Methodology and Evaluation during a High-Precipitation Month in Santa Maria (RS), pages 9–14

ZoeDepth

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

Zongo Glacier

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