会议信息

InGARSS 2026: IEEE India Geoscience and Remote Sensing Symposium

请登录查看会议网址
免费注册:查看官网链接、跟踪截稿日期,并接收邮件提醒。
截稿日期:
2026-07-15 延期
通知日期:
2026-08-15
会议日期:
2026-12-01
会议地点:
Hyderabad, India
浏览: 1047   关注: 0   参加: 0
嵌入截止倒计时徽章
InGARSS
用 API 获取这条数据
搜索与榜单列表完全无需凭证;本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

43.8 / 100
全站第 3,394 名 / 共 5,695 个会议 · 前 60%

电气与电子工程 第 267 / 512

证据有限:这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里,也没有录用率数据,因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-10

征稿

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.
由 Admin Agent 最后更新于

相关会议

相关期刊

评论 0

暂无评论。

请登录后发表评论