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 "Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique" by Xiaofei Mi et al. in the Special Section on Representation Learning and Big Data Analytics for Remote Sensing in Vol. 14, Issue 3.

Featured Content

Special Section on Representation Learning and Big Data Analytics for Remote Sensing

Guest Editors: Weifeng Liu, Yicong Zhou, Karen Panetta, Sos Agaian

Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models

M. M. Prakash Mohan, Rajitha Kanchirapuzha, and Murari R. R. Varma

Special Section on Instrument Calibration and Product Validation of GOES-R

Guest Editors: Xiangqian Wu, Changyong Cao, Satya Kalluri, and Jaime Daniels

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from the Journal of Applied Remote Sensing

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

GOES-R series ABI Imagery artifacts

Mathew M. Gunshor, Timothy J. Schmit, David R. Pogorzala, Scott S. Lindstrom, James P. Nelson (2020) Open Access

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

Ramanuja Manavalan (2018) Open Access

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

Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields

Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber (2019) Open Access

Residential roof condition assessment system using deep learning

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

Detection of Pb–Zn mineralization zones in west Kunlun using Landsat 8 and ASTER remote sensing data

Min Yang, Guangli Ren, Ling Han, Huan Yi, Ting Gao (2018) Open Access

Target deception jamming method against spaceborne synthetic aperture radar using electromagnetic scattering

Qingyang Sun, Ting Shu, Bin Tang, Wenxian Yu (2018) Open Access

Demonstration of 25-Hz-inspection-speed laser remote sensing for internal concrete defects

Shinri Kurahashi, et al. (2018) Open Access

Monitoring the effects of extreme drought events on forest health by Sentinel-2 imagery

Nicola Puletti, Walter Mattioli, Filippo Bussotti, Martina Pollastrini (2019) Open Access

Video introduction to the journal

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