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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Aims & Scope

The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.

Journal Information

Impact Factor：2.91

Eigenfactor：0.01703

(Eigenfactor™ Score takes into account the number of times articles from a journal published in the last five years have been cited in the JCR year while also considering which journals have contributed these citations. Since citations are in this case weighted dependently on the source, The Eigenfactor Score belongs to the class of so-called prestige measures. The Eigenfactor Score represents the probability of reading a specific journal in the entire collection and therefore high-scoring journals have a greater influence in the scientific community.)

Article Influence Score：0.822

(Article Influence™ Score is also a prestige measure and has all the features of the Eigenfactor Score, with an additional normalization to the number of published papers. Hence it can be considered the average influence of a journal's articles over the first five years after publication.)

ISSN：1939-1404

Frequency：12

Published by：IEEE Geoscience & Remote Sensing Society

Subjects：Geoscience; Signal Processing & Analysis

Contacts：Dr. Qian (Jenny) Du; Department of Electrical and Computer Engineering; Mississippi State University; Mississippi State, MS 39762,USA; [e-mail];Phone: [phone] 

Latest Published Articles

Progressive Filtering of Airborne LiDAR Point Clouds Using Graph Cuts

Realistic Lower Bound on Elevation Estimation for Tomographic SAR

Classification of Airborne Multispectral Lidar Point Clouds for Land Cover Mapping

Relationship Between Temporal and Spatial Resolution for a Constellation of GNSS-R Satellites

An Efficient Approach Based on UAV Orthographic Imagery to Map Paddy With Support of Field-Level Canopy Height From Point Cloud Data

Popular Articles

Deep Learning-Based Classification of Hyperspectral Data

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

A Robust Fuzzy C-Means Algorithm Based on Bayesian Nonlocal Spatial Information for SAR Image Segmentation

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Development of an Adaptive Approach for Precision Agriculture Monitoring with Drone and Satellite Data

Official Website：

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443

资料整理者

 

整理 / 蒋莉 编辑 / 林逸文 

审核 / 李发东

指导：万剑华教授(微信号wjh18266613129）