IEEE Geoscience and Remote Sensing MagazineIEEE地球科学与遥感杂志

IEEE Geoscience and Remote Sensing Magazine(英文缩写 IEEE GEOSC REM SEN M),ISSN 2473-2397,eISSN 2168-6831,中文译名:IEEE地球科学与遥感杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
13.700
JCR 分区
Q1
CAS 分区
B1
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-09-27 至 2026-09-27,按本站收录文献的发表日期统计。

ISSN: 2473-2397 · eISSN: 2168-6831 · 缩写: IEEE GEOSC REM SEN M ·中文: IEEE地球科学与遥感杂志

期刊介绍

选择期刊介绍栏目

期刊简介

该刊是IEEE地球科学与遥感学会的旗舰杂志,致力于发表高影响力的综述、教程和观点文章,覆盖遥感理论、传感器、数据处理与地学应用。读者群包括遥感科学家、工程师、地球科学研究者及研究生,旨在促进跨学科交流并推动领域前沿发展。

研究方向

主要方向包括遥感理论与方法、传感器与平台、图像处理与信息提取、微波与光学遥感、地球科学应用(如气候、生态、水文)及人工智能在遥感中的融合。论文类型以综述、教程、技术评论和前瞻性观点为主,兼发少量原创研究。

期刊特色

研究取向强调系统性总结与前瞻思考,论文通常由领域专家撰写,注重可读性与教育性,篇幅较长且图表丰富。适合希望快速了解某一方向全貌的研究生、跨领域学者及工业界研发人员,也适合资深研究者梳理知识体系。

投稿难度

投稿难度较高,因其为综述导向的旗舰刊,对选题新颖性、作者团队权威性及写作质量要求严格。建议在充分积累领域成果后,由资深学者牵头,注重逻辑框架与批判性分析,避免简单罗列文献。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
202113.925Q1
202214.600Q1
202316.200Q1
202416.400Q1
202513.700Q1

IEEE Geoscience and Remote Sensing Magazine 最新收录文献

  1. JCR分区: Q1 CAS分区: B1 影响因子: 13.7

    1. Big Data Challenges in Climate Science.

    作者:
    John L Schnase, Tsengdar J Lee, Chris A Mattmann, Christopher S Lynnes, Luca Cinquini, Paul M Ramirez, Andre F Hart, Dean N Williams, Duane Waliser, Pamela Rinsland, W Philip Webster, Daniel Q Duffy, Mark A McInerney, Glenn S Tamkin, Gerald L Potter, Laura Carrier
    日期:
    2016-09-16

    The knowledge we gain from research in climate science depends on the generation, dissemination, and analysis of high-quality data. This work comprises technical practice as well as social practice, both of which are distinguished by their massive scale and global reach. As a result, the amount of data involved in climate research is growing at an unprecedented rate. Climate model intercomparison (CMIP) experiments, the integration of observational data and climate reanalysis data with climate model outputs, as seen in the Obs4MIPs, Ana4MIPs, and CREATE-IP activities, and the collaborative work of the Intergovernmental Panel on Climate Change (IPCC) provide examples of the types of activities that increasingly require an improved cyberinfrastructure for dealing with large amounts of critical scientific data. This paper provides an overview of some of climate science's big data problems and the technical solutions being developed to advance data publication, climate analytics as a service, and interoperability within the Earth System Grid Federation (ESGF), the primary cyberinfrastructure currently supporting global climate research activities.

在 IEEE Geoscience and Remote Sensing Magazine 中搜索更多文献

支持中英文检索 · 智能翻译 · 影响因子 · PDF 下载 · AI 文献阅读

指标接近的期刊