Journal of Applied Remote Sensing

Journal of Applied Remote Sensing

The Journal of Applied Remote Sensing (JARS) covers the concepts, information, and progress of the remote sensing community.

Featured Articles

Target-driven extraction of built-up land changes
from high-resolution imagery

Y. Zhang, B. Guindon, X. Li, N. Lantz, Z. Sun





Remote sensing for snow hydrology in China: challenges and perspectives

J. Wang, H. Li, X. Hao, X. Huang, J. Hou, T. Che, L. Dai, T. Liang,
C. Huang, H. Li, Z. Tang, Z. Wang




Top Downloads from Journal of Applied Remote Sensing


Ni-Bin Chang
    University of Central Florida

About the Journal


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
ISSN: 1931-3195
Frequency: Annual (1 volume/year); articles published continuously throughout the year.
Indexed in:
  • Science Citation Index Expanded
  • Current Contents - Agriculture, Biology & Environmental Sciences
  • Current Contents - Physical, Chemical & Earth Sciences
  • Inspec
  • Scopus
  • Ei Compendex

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