Editor-in-Chief: Ni-Bin Chang, University of Central Florida
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.
Use of different temporal scales to monitor phenology and its relationship with temporal evolution of normalized difference vegetation index in wheat
Laura González-Gómez, Isidro Campos, and Alfonso Calera
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.
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Special Section on Recent Advances in Earth Observation Technologies for Agrometeorology and Agroclimatology
Guest Editors: Shibo Fang, George Petropoulos and Davide Cammarano
May 2018
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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)
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)
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
Gaia Vaglio Laurin 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)
Low-cost multispectral imaging for remote sensing of lettuce health
David D. Ren, Siddhant Tripathi, Larry K. Li (2017)
Mapping asphalt pavement aging and condition using multiple endmember spectral mixture analysis in Beijing, China
Yifan Pan, Xianfeng Zhang, Jie Tian, Xu Jin, Lun Luo, Ke Yang (2017)
Residential roof condition assessment system using deep learning
Fan Wang, John P. Kerekes, Zhuoyi Xu, Yandong Wang (2018)
Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas
Sabrina Esch, Wolfgang Korres, Tim G. Reichenau, Karl Schneider (2018)
Dynamic analysis of urban ground subsidence in Beijing based on the permanent scattering InSAR technology
Xian Gang Luo, Jingjing Wang, Zhanya Xu, Shuang Zhu, Lingsheng Meng, Jiakui Liu, Yi Cui (2018)
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- Rigorous, prompt peer review (median time from submission to first decision: 37 days)
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