Special Session

 Session Title:
    Observing River Characteristics and Environmental Impacts with Image-based Techniques
 Session Abstract:

     The river morphology is the combinational results among river processing, erosion, deposition, climate impact, and etc. The         environmental impacts associated with river morphology and hydraulics often have significant effects toward nature. To                understand the river morphology and environmental impacts, we should consider the interdisciplinary knowledge with                  hydraulics, physics, hydrology, geology, surveying, and etc. In this session, therefore, we will focus on:

a.     State of the art developments in image techniques that enable river morphology to be detected, including remote sensing,           GIS, and numerical modelling;

b.     Physical, chemical and biological changes measured by optical or acoustic sensors lead to describe river morphology;

c.     The impacts of past, current and future environmental change upon river processes, hydraulic structures, and the influences         of  core drivers such as climate;

d.     The new questions for river and riverine environment initiated by observation.

Session Chair:

  Dr. Howard H-C

 Session Title:
    Forest Remote Sensing
 Session Abstract:
        To extend the technology of remote sensing to exploring information of forest ecosystem. Specific topics include the                    mapping of forest covers and biomass and carbon as well as forest changes due to climate change.

 Session Chair:
     Dr. Chinsu-Lin & Dr. Han-Chin-Hsieh

 Session Title:
    Algorithms and Applications of Hyperspectral image analysis
 Session Abstract:
    Hyperspectral imaging is an emerging technique in remote sensing, and has shown a great impaction on numerous applications in     a large number of industries and fields. While planning the special session, the organizers would like to focus on the algorithms           and applications of Hyperspectral Image Analysis that will significantly influence the research directions in the area of Remote            Sensing. Hyperspectral sensors and data is getting affordable and available in the consumer market. As a result, it is expected            that     new applications will be blooming and new algorithms will be necessary to process the raw data.

    The topics of interest include (but are not limited to):

    1.          Image classification

    2.          Feature extraction and selection

    3.          Sparse representation and data reduction

    4.          Anomaly detection and target detection

    5.          Band selection, dimensionality reduction, and data compression

    6.          Compressive sensing and tensor

    7.          Decomposition and unmixing

    8.          Unsupervised learning, active learning, and deep learning

    9.          Endmember finding

            10.          Application to multispectral/hyperspectral imaging

 Session Chair:
    Dr. Hsiao-Chi-Li & Dr. Chao-Cheng-Wu

 Session Title:
    Cross-scale observation for biodiversity 
 Session Abstract:
     Biodiversity typically measures variation at the genetic, the species, and the ecosystem level. Cross-scale observation and             measurement provides different spatial, temporal, quantitative, or analytical dimensions for biodiversity at multiple levels and      scales. Understanding these dynamics is critical for changes of biodiversity patterns produced by natural and anthropogenic         disturbance. This session will feature advances in the synoptic assessment of species distributions and biodiversity patterns,         with presentations on applications of cross-scale techniques to biodiversity research, including fine-scale mechanism and             broad scale spatial and temporal patterns. The development of cross-scale methodologies for assessment, monitoring,                 modeling, management and conservation are involved in this session.  
 Session Chair:
    Dr. Hsueh-Ching-Wang & Dr. Mao-Ning-Tuanmu