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.

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Low earth orbit sounder retrieval products at geostationary earth orbit spatial and temporal scales

James Anheuser, Elisabeth Weisz, W. Paul Menzel

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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

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

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

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Low earth orbit sounder retrieval products at geostationary earth orbit spatial and temporal scales

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

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

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

On-orbit calibration and characterization of GOES-17 ABI IR bands under dynamic thermal condition

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

GOES-R series ABI Imagery artifacts

RainCube: the first ever radar measurements from a CubeSat in space

Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique

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

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

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

Residential roof condition assessment system using deep learning

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