The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications.
Spectrometers based on acousto-optic tunable filters for in-situ lunar surface measurement
Zhiping He et al.
Special Section on Advances in Deep Learning for Hyperspectral Image Analysis and Classification
Guest Editors: Masoumeh Zareappor, Jinchang Ren, Huiyu Zhou, and Wankou Yang
Video introduction to the journal
- Rigorous, prompt peer review
- Rapid, e-first publication of articles
- Professional copyediting and typesetting
- Free online color figures
- Free inclusion of video and multimedia content
- 5 free downloads from the SPIE Digital Library for authors
- Open access publication option at a low cost
- Eligibility for annual best paper award
- Integration with Code Ocean, a cloud-based code development and publishing platform
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