Latin American GRSS and ISPRS Remote Sensing Conference
10 - 13 November 2025 • Iguazu Falls, Brazil
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
| Date: Tuesday, 11/Nov/2025 | |||
| 10:30am - 12:30pm |
OP01: Regional Issues: Deforestation and Degradation Location: Cesar Lattes Auditorium Chair: Gilson Costa MONITORING AMAZON FOREST USING LANDTRENDR AND MAPBIOMAS: A CASE STUDY FROM TRINCHEIRA BACAJÁ, PARÁ (2018–2023) 10:50am - 11:10am Multistage Algorithm for Automatic Mining Dredges Detection on Amazonian Rivers using SAR 11:10am - 11:30am Detecting Urban Deforestation: A Semantic Segmentation Approach 11:30am - 11:50am Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning 11:50am - 12:10pm Towards SAR-Based Monitoring of Illegal Mining in the Brazilian Amazon Using Convolutional Neural Networks 12:10pm - 12:30pm ALOS-2 Long-Term Observation of the Legal Amazon - Monitoring Deforestation, Forest Loss, and Regrowth by L-band SAR |
OP02: Applications: Risk Management Location: Florestan Fernandes I Chair: Maria Fernanda Garcia Ferreyra HVAS: Detection of Vegetation Height near Electric Transmission Lines Using Deep Learning and Satellite Images 10:50am - 11:10am Decision-rule-based Pipeline to Detect Overhead Power Lines and Vegetation Contact Areas Using Mobile LiDAR Data in Brazilian Urban Regions 11:10am - 11:30am Integrating Remote Sensing for Structural Deformation Analysis of Landslides in the Reina del Cisne Sector - Paccha: A Sustainable Approach to Urban Disaster Management and Response Using LiDAR and CloudCompare 11:30am - 11:50am INTEGRATION OF MODIS IMAGERY AND HYSPLIT SIMULATIONS FOR SEASONAL IDENTIFICATION OF AIRSPACE AFFECTED BY VOLCANIC ASH FROM POPOCATÉPETL 11:50am - 12:10pm How Much is Enough? Assessing the Feature Dimensionality and Performance Trade-offs in Flood Classification Using Random Forest |
OP03: Production-Economy: Agriculture Location: Florestan Fernandes III Chair: Marcelo Scavuzzo Discriminative Spectral Regions for Detecting Huanglongbing in Citrus Plants through Statistical Analysis 10:50am - 11:10am Estimation of grassland nitrogen content using UAV ultra-wide RGB images 11:10am - 11:30am Analysis of spectral responses in soybean crops with different levels of phytonematode infestation at different phenological stages using MSI/Sentinel-2 sensor imagery 11:30am - 11:50am Potential of SAR-derived features for detecting structural variations in coffee plots 11:50am - 12:10pm Evaluating pollinator diversity in the Brazilian Atlantic Forest biome using geospatial and Machine Learning Tools 12:10pm - 12:30pm Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging |
| 2:00pm - 3:40pm |
OP04: Production-Economy: Deep Learning Approaches Location: Cesar Lattes Auditorium Chair: Gilson Costa Ad-hoc pre-tained models for multi-spectral satellite images 2:20pm - 2:40pm Using Active Learning to Improve Hyperspectral Image Classification within Supervised Learning 2:40pm - 3:00pm Impact of Training Set Size on Representation Learning for Hyperspectral Image Classification 3:00pm - 3:20pm UAV-based Unsupervised Domain Adaptation for Road Extraction 3:20pm - 3:40pm Advancing Offshore Safety: Monocular Depth Estimation from 360-Degree Images for Enhanced Oil Platform Inspection 3:40pm - 4:00pm Evaluating and Adapting Monocular Depth Models for Canopy Height Estimation in Semi-Urban and Forested Areas |
OP05: Environment-Ecology: Wildfire Location: Florestan Fernandes I Chair: Jimena Albornoz Spatiotemporal dynamics of wildfires in the Sierras of Córdoba, Argentina (1986–2024): A remote sensing approach to burned area reconstruction. 2:20pm - 2:40pm Deep Neural Network Utilization in Wildfire Hotspot Classification For Drone-Obtained Imagery 2:40pm - 3:00pm Mapping burned areas in Cerrado protected areas (2000–2020): a comparative analysis of Landsat classification, Mapbiomas fire, and MCD64A1 3:00pm - 3:20pm Confidence Indicator for Fire Event Alerts Based on Geostationary Remote Sensing in Brazil and ACTO Countries 3:20pm - 3:40pm Evaluation of MAIAC-Derived Aerosol Optical Depth from MODIS and EPIC Observations During South American Fire Events |
OP06: Environment-Ecology: Water & Hydrology Location: Florestan Fernandes III Chair: Marcos Benedito Schimalski Integration of satellite and field data for the detection of a harmful algal bloom in a reservoir 2:20pm - 2:40pm Deep learning reveals spatial patterns in water contamination over Ciénaga de la Virgen using Sentinel-2 imagery. 2:40pm - 3:00pm MAPAQUALI – Modular system for continuous monitoring of water quality by remote sensing 3:00pm - 3:20pm Turbidity estimation in Paraná River middle basin using remote sensing techniques 3:20pm - 3:40pm Multi and hyperspectral characterization of a RAMSAR water body based on an optical water type approach 3:40pm - 4:00pm A Novel Model for Cyanobacterial Chlorophyll-a Estimation: Fusing Satellite Remote Sensing and In Situ Data |
| 4:10pm - 5:30pm |
PP01: Poster Presentations 01 Location: Cineteatro Barrageiros Landscape Metrics to Assess Changes in Native Vegetation in the Paraíba Valley, Brazil Technical and Digital Tools for Identifying and Assessing the Environmental Impacts of Airport Operations: A Case Study of Felipe Ángeles International Airport Multiscale Assessment of Agricultural Expansion Potential in Degraded Pasturelands in Brazil Using Geospatial Data Detecting Urban Change with Open-Source GIS programs: A Case Study in Guayaquil From Constraints to Urban Growth: Satellite-Based Monitoring of Guayaquil's Urban Expansion with Sentinel-2 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, Goias (Brazil) Challenges in the Environmental Enforcement of Small-Scale Illegal Burning Predicting Air Quality Index at Dome A, Antarctica Through the Integration of Meteorological Data and Machine Learning Techniques Multidimensional Sampling for Land Use and Land Cover Classification Near Real-Time Detection of EVI Time-Series Breakpoints Using Bayesian Inference for Deforestation Monitoring in the Chaco Forest Spatiotemporal Monitoring of Land Cover Using Machine Learning and GIS What are the most relevant variables for remotely estimating the maturity of peanut pods? Weakly Supervised Burned Area Mapping in the Brazilian Pantanal Using Multispectral Satellite Imagery Development of a Predictive Model for Eutrophication Events using Climatic Parameters and Spatial Data in Peruvian High Andean Reservoirs Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks Estimating impurities impact in seasonal snow albedo with remote sensing during a wildfire event in Bariloche, Argentina Spectral-Based Discrimination of Vitis vinifera and Vitis labrusca Using Contact SpectroradiometryTechniques Biomass spatio-temporal change analysis in the subtropical forests using multi-sensor SAR and optical data synergy GEOSPATIAL VEGETATION DYNAMICS ESTIMATE BASED ON MULTITEMPORAL REMOTE SENSING AT THE PASSAUNA BASIN Identifying Methane Super-Emitters Using EMIT and Carbon Mapper: A Case Study in the Metropolitan Area of Sao Paulo Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery Vegetation Dynamics in the Pirizal Region (Pantanal-MT, Brazil) Through Temporal Analysis Using PlanetScope Data Urban Thermal Dynamics at Pixel Resolution: Neighborhood-Specific Analysis Using Machine Learning and Multi-source Geospatial Data in Guadalajara, Mexico Monitoring coastal processes in a macro-tidal dominated environment in the Pará Amazon over six decades: applications from computational intelligence and remote sensing |
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