Journal of Applied Remote Sensing

Editor-in-Chief: Ni-Bin Chang, University of Central Florida, USA

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. 

On the cover: The figure is from the paper "Toward high-performance SPAD arrays for space-based atmosphere and ocean profiling LiDARs" by Giulia Acconcia et al. in Vol. 15, Issue 1.

Featured Content

Special Section on Satellite Remote Sensing for Disaster Monitoring and Risk Assessment, Management, and Mitigation

Guest Editors: Hung Lung Allen Huang and Mitchell Goldberg

Special Section on Hyperspectral Remote Sensing and Imaging Spectrometer Design

Guest Editors: Shen-En Qian, Robert O. Green, and Antonio J. Plaza

Toward high-performance SPAD arrays for space-based atmosphere and ocean profiling LiDARs

Giulia Acconcia et al.

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from the Journal of Applied Remote Sensing

Crop classification from Sentinel-2-derived vegetation indices using ensemble learning

Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, Kan-ichiro Mochizuki (2018) Open Access

Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture

Diego Gómez, Pablo Salvador, Julia Sanz, Carlos Casanova, Daniel Taratiel, Jose Luis Casanova (2018) Open Access

Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices

Ulrike Lussem, Andreas Bolten, Jannis Menne, Martin Leon Gnyp, Jürgen Schellberg, Georg Bareth (2019) Open Access

Remote sensing estimation of surface oil volume during the 2010 Deepwater Horizon oil blowout in the Gulf of Mexico: scaling up AVIRIS observations with MODIS measurements

Chuanmin Hu, et al. (2018) Open Access

Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

Gaia Vaglio Laurin, et al. (2018) Open Access

Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis

Haichao Li, Liang Chen, Feng Li, Meiyu Huang (2019) Open Access

Review of synthetic aperture radar frequency, polarization, and incidence angle data for mapping the inundated regions

Ramanuja Manavalan (2018) Open Access

Manned aircraft versus small unmanned aerial system—forestry remote sensing comparison utilizing lidar and structure-from-motion for forest carbon modeling and disturbance detection

Michael P. McClelland, Jan van Aardt, Darin Hale (2019) Open Access

Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery

Tengyu Fu, Lei Ma, Manchun Li, Brian A. Johnson (2018) Open Access

Residential roof condition assessment system using deep learning

Fan Wang, John P. Kerekes, Zhuoyi Xu, Yandong Wang (2018) Open Access

Video introduction to the journal

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