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 " Acquisitions and applications of forest canopy hyperspectral imageries at hotspot and multiview angle using unmanned aerial vehicle platform" by Xiaokang Zhang et al., from Vol. 14, Issue 2.

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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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Mapping small and medium-sized water reservoirs using Sentinel-1A: a case study in Chiapas, Mexico

Alejandra A. López-Caloca, Boris Escalante-Ramírez, Pilar Henao

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

Mapping small and medium-sized water reservoirs using Sentinel-1A: a case study in Chiapas, Mexico

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

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

Stand density extraction and analysis of plantations based on QuickBird and Worldview-2 images

Validation of a ground-based telescope-assisted hyperspectral remote sensor for soil measurements

On-orbit installation matrix calibration and its application on AGRI of FY-4A

Residential roof condition assessment system using deep learning

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

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

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

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

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