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.
Editor-in-Chief: Ni-Bin Chang, University of Central Florida
Special Section on Advances in Deep Learning for Hyperspectral Image Analysis and Classification
Guest Editors: Masoumeh Zareapoor, Jinchang Ren, Huiyu Zhou, and Wankou Yang
Small unmanned aerial model accuracy for photogrammetrical fluvial bathymetric survey
Neil S. Entwistle and George L. Heritage
Spatial and spectral pattern identification for the automatic selection of high-quality MODIS images
Lluís Pesquer, Cristina Domingo-Marimon, and Xavier Pons
January 2019
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from the Journal of Applied Remote Sensing
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
John E. Ball, Derek T. Anderson, Chee Seng Chan (2017)
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
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Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks
Richard A. Marcum, Curt H. Davis, Grant J. Scott, Tyler W. Nivin (2017)
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
Chuanmin Hu et al. (2018)
Comparison of mosaicking techniques for airborne images from consumer-grade cameras
Huaibo Song, Chenghai Yang, Jian Zhang, Wesley C. Hoffmann, Dongjian He, J. Alex Thomasson (2016)
Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
Zhongchang Sun, Patrick Leinenkugel, Huadong Guo, Chong Huang, Claudia Kuenzer (2017)
Spatio-temporal evaluation of plant height in corn via unmanned aerial systems
Sebastian Varela et al. (2017)
Plankton Aerosol, Cloud, ocean Ecosystem mission: atmosphere measurements for air quality applications
Ali H. Omar, Maria Tzortziou, Odele Coddington, Lorraine A. Remer (2018)
Segmentation model based on convolutional neural networks for extracting vegetation from Gaofen-2 images
Chengming Zhang, Jiping Liu, Fan Yu, Shujing Wan, Yingjuan Han, Jing Wang, Gang Wang (2018)
Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA
David J. Diner et al. (2018)
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