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.

Current Issue All Issues Issues in Progress

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

Guest Editors: Hung Lung Allen Huang and Mitchell Goldberg

Read the articles

Special Section on Hyperspectral Remote Sensing and Imaging Spectrometer Design

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

Read the articles

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

Giulia Acconcia et al.

Read the article

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

Special Section on Hyperspectral Remote Sensing and Imaging Spectrometer Design

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

Most Viewed

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

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

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

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

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

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

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

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

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

Residential roof condition assessment system using deep learning

Video introduction to the journal

Become a Reviewer

Access & Subscriptions

Submit a Manuscript

Keywords/Phrases

Search In:

Publication Years