Wei Gao, Colorado State University
Editor-in-Chief
The Journal of Applied Remote Sensing (JARS) covers the concepts, information, and progress of the remote sensing community. Features of this e-journal include the latest in peer-reviewed remote sensing research, multimedia (video and audio) content, rapid article-at-a-time publication, and reference linking via CrossRef.
Topics covered by the journal include, but are not limited to, the following areas:
- Remote sensing theory and applications in the atmosphere, oceans, ecosystems, climate, agriculture, land cover/change, space, solar, ice/snow, hazard, fire, pollution, hydrology, and other environmental areas
- Program and experiment concepts
- Surveys of remote sensing user requirements
- Numerical weather prediction
- Environmental monitoring
- Satellite instrument calibration requirements
- Remote sensing validation problems and methods for resolution
- Satellite mission requirements and implementation
- On-board and on-ground data receiving and processing
- Systems engineering for data
- Pre- and post-launch systems and instrumentation
- Space technology development and transfer
- Orbital measurement concepts
- Sensor technology development
- Spacecraft and instrument navigation
- Coupled numerical modeling
- Data acquisition
- System integration
- Algorithm development
- Product applications
- Information analysis, mining, and management
Wei Gao, Editor-in-Chief
Colorado State University
tel: +1 970 491 3609
wgao@uvb.nrel.colostate.edu
Karolyn S. Labes, Managing Editor
SPIE
tel: +1 360 676 3290
journals@spie.org
Facts and Figures
Impact Factor: 1.000*
Subject Category Rankings: 11th out of 23 journals in Remote Sensing; 7th out of 19 journals in Imaging Science & Photographic Technology; 143rd out of 192 journals in Environmental Sciences *
E-ISSN: 1931-3195
Publisher: SPIE
Frequency: Annual (1 volume/year); articles published continuously throughout the year.
Format: Online only
*From the 2010 Science Edition of Thomson Reuters' Journal Citation Report®
Abstracting and Indexing
Journal of Applied Remote Sensing is abstracted and indexed in leading scientific databases, including:
• Science Citation Index Expanded
• Web of Science
• Current Contents/Physical, Chemical & Earth Science
• Current Contents/Agriculture, Biology & Environmental Sciences
• Inspec
• Scopus
• Ei Compendex
