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Sanjiwana Arjasakusuma, Yasushi Yamaguchi, Yasuhiro Hirano and Xiang Zhou    

Ongoing global warming has triggered extreme climate events of increasing magnitude and frequency. Under this effect, a series of extreme climate events such as drought and increased rainfall during the El Nino Southern Oscillation (ENSO) are expected to... see more


Rui Guo, Jianbo Liu, Na Li, Shibin Liu, Fu Chen, Bo Cheng, Jianbo Duan, Xinpeng Li and Caihong Ma    

Considering the classification of high spatial resolution remote sensing imagery, this paper presents a novel classification method for such imagery using deep neural networks. Deep learning methods, such as a fully convolutional network (FCN) model, ach... see more


Xiaofeng Sun, Xiangguo Lin, Shuhan Shen and Zhanyi Hu    

As an intermediate step between raw remote sensing data and digital maps, remote sensing data classification has been a challenging and long-standing problem in the remote sensing research community. In this work, an automated and effective supervised cl... see more


Jing Li, Ronghua Ma, Kun Xue, Yuchao Zhang and Steven Loiselle    

Column integrated algal biomass provides a robust indicator for eutrophication evaluation because it considers the vertical variability of phytoplankton. However, most remote sensing-based inversion algorithms of column algal biomass assume a homogenous ... see more


Khan Rubayet Rahaman, M. Razu Ahmed and Quazi K. Hassan    

Warming, i.e., increments of temperature, is evident at the global, regional, and local level. However, understanding the dynamics of local warming at high spatial resolution remains challenging. In fact, it is very common to see extremely variable land ... see more