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InGARSS 2026: IEEE India Geoscience and Remote Sensing Symposium

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Día de Entrega:
2026-07-15 Extended
Fecha de Notificación:
2026-08-15
Fecha de conferencia:
2026-12-01
Ubicación:
Hyderabad, India
Vistas: 649   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

InGARSS 2026 (IEEE India Geoscience and Remote Sensing Symposium) is an academic conference held in Hyderabad, India on 2026-12-01. The paper submission deadline is 2026-07-15 (extended). Acceptance notifications are sent on 2026-08-15.

TRACK 01 Agriculture, Forest and Environment This track focuses on the application of remote sensing and geospatial analytics for monitoring agricultural systems, forest resources, and environmental processes. It covers crop assessment, forest inventory, ecosystem monitoring, climate impacts, and AI-driven decision support for sustainable resource management. TRACK 02 Digital Mapping & Cartographic Systems Creation, visualization, and dissemination of spatial maps. Topics include high-resolution topographic and thematic mapping, 3D/4D urban and landscape mapping, semantic mapping & digital twins, Web GIS and interactive spatio-temporal maps, standards and interoperability (OGC, ISO). TRACK 03 Disaster Management & Early Warning Systems EO and models for hazard assessment and mitigation. Topics include earthquake, landslide, flood, cyclone monitoring, rapid mapping for emergency response, early warning systems and risk communication, resilience planning and recovery analytics. TRACK 04 Future Directions & Innovation Forward-looking themes shaping the next decade. Topics include quantum computing for geospatial simulation, AI agents in Earth system modeling, next-gen digital Earth platforms, edge computing for real-time monitoring. TRACK 05 Geospatial Data Acquisition & Sensing Technologies Sensors and platforms for Earth observation. Topics include satellite, UAV, airborne & ground-based sensors, hyperspectral, LiDAR, SAR, multisensor synergies, CubeSats and small satellite constellations. TRACK 06 Machine Learning & AI for Digital Earth AI/ML for modelling, detection, prediction, and mapping. Topics include deep learning for image classification and segmentation, physics-informed machine learning, AI for SAR and hyperspectral analysis, self-supervised and transfer learning, explainable AI for geospatial applications. TRACK 07 Planetary and Space Sciences This track focuses on remote sensing techniques for the observation and analysis of planetary surfaces, atmospheres, and interiors, as well as other celestial bodies. It covers data from space missions, imaging and spectroscopic analysis, radar observations, and modeling for planetary science, exploration, and comparative planetology. TRACK 08 Special Scientific Theme: NISAR This track focuses on science, data products, and applications of the NISAR mission, leveraging L- and S-band SAR observations. It covers interferometry, time-series analysis, surface deformation, ecosystem monitoring, cryosphere dynamics, disaster assessment, and Earth system studies using NISAR data. TRACK 09 Community Contributed Session (CCS): The Added Value of Multi Resolution Imaging in Earth Observation Applications This Community Contributed Session aims to provide a forum for discussing the added value of multi-resolution approaches in Earth Observation applications across different sensing modalities, including optical, hyperspectral, SAR, LiDAR, thermal, and passive microwave systems. The session will focus on innovative methodologies for multi-resolution exploitation.
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Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
CIEEE Geoscience and Remote Sensing Letters4.4IEEE1545-598X
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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