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

Remote sensing for assessing vegetated roofs with a new replicable method in Paris, France

Tanguy Louis-Lucas et al.

Ground target extraction using airborne streak tube imaging LiDAR

Zhiwei Dong et al.

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


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

M. M. Prakash Mohan, Rajitha Kanchirapuzha, Murari R. R. Varma (2020) 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


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

Zhipeng Wang, et al. (2020) Open Access


Combing Sentinel-1 and Sentinel-2 image time series for invasive Spartina alterniflora mapping on Google Earth Engine: a case study in Zhangjiang Estuary

Di Dong, Chao Wang, Jinhui Yan, Qingyou He, Jisheng Zeng, Zheng Wei (2020) Open Access


Airborne radiometric validation of the geostationary lightning mapper using the Fly’s Eye GLM Simulator

Mason G. Quick, Hugh J. Christian, Katrina S. Virts, Richard J. Blakeslee (2020) 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


GOES-R series ABI Imagery artifacts

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


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

Eva Peral, et al. (2019) 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


Video introduction to the journal

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