Special Sessions

Oral presentations and posters will be presented in the following special sessions, in addition to papers on other topics in remote sensing related to hydrology.

  1. "Observation techniques for surface energy balance components on kilometer scale"

    In hydrology and related sciences there is a strong need for independent observation techniques suitable for validation and calibration of models and remote sensing techniques. In most cases this requires spatial scales of 10 – 1000 km 2. Unfortunately, most observation techniques yields point observations only having very limited footprints. This session will focus on techniques providing fluxes on kilometer scale over heterogeneous terrain such as scintillometers, SODAR, LIDAR, and RASS. It will be confined to the components of the surface energy balance, in particular the turbulent fluxes of heat and water vapor. Papers on integrating remote-sensing with these techniques are welcomed.


    Dr. Henk de Bruin email: [email protected]

  2. "The application of lidar to problems in cold-regions hydrometeorology and water resources"

    A recurring theme in cold regions hydrolometeorological research and water resources assessment is a need to quantify both: a) volumes of water in its solid state (e.g. snowpack, glacial ice or permafrost); and b) rates of accumulation and ablation. Individual field measurements of in-situ snow depth or icemelt volume using traditional snow-coursing, depth-probing and ablation stake approaches are relatively straightforwards at the plot-scale but capturing such measurements at the drainage basin scale has traditionally been problematic, requiring much research into field sampling and interpolation methodologies. With the growing availability and adoption of lidar (light detection and ranging) technology and its ability to map terrain at previously unprecedented speeds, resolutions and accuracy, we are now able to directly observe the morphological expression and spatial variability of these hydrologically important and dynamic land surface features. The use of lidar for floodplain cross-section mapping, watershed and flow pathway delineation, flood prediction are now common place activities in many government agencies and, indeed, lidar is often considered the tool-of-choice for these applied research and modeling tasks. However, in the field of cold regions hydrology, lidar has only recently started to gain widespread recognition and there are still many, as yet, barely explored areas of potential application. For example, the ability to simultaneously capture above ground vegetation structural data is opening up new research into areas like canopy snow interception simulation, temporal flux footprint mapping, radiative transfer and below canopy snow melt modeling. Furthermore, the intensity of returned laser pulses contain a wealth of typically under-exploited information and this is a subject where much research potential also exists. The objective of this special session is to showcase this rapidly evolving field that is gradually gaining recognition under the term "cold regions hydrogeomatics". Paper submissions dealing with the application of either airborne or ground-based (tripod or vehicular mounted) lidar to research in the fields of cold regions hydrology, meteorology or water resources assessment are encouraged.


    Dr. Chris Hopkinson email: [email protected]

  3. Advances in thermal-infrared remote sensing for hydrological applications

    Models and observational platforms using thermal-infrared data for quantifying surface energy balance, water use/evapotranspiration, and monitoring plant stress, soil moisture, and drought continue to be developed and tested. Some have reached a level of maturity that they are now being used operationally to provide input to irrigation scheduling, water resource management policy and decision-making, and drought monitoring. With satellite-based techniques, the spatially distributed output is starting to be integrated into atmospheric and hydrologic models for more reliable weather forecasts and water balance estimates. This session is intended to provide a forum for showcasing the latest developments in thermal-infrared observational/sensor designs and modeling techniques for monitoring and quantifying fluxes, plant condition and hydrologic states from the ground/plot to the regional scale. This special session covers many of the meeting session themes related to water resources.

    Martha Anderson [email protected]
    Bill Kustas [email protected]

  4. Data assimilation of land remote sensing products into models

    During the past decade, significant advances have been made in the development of land data assimilation systems to optimally merge remote sensing observations with environmental models. While a major part of this effort has focused on remotely-sensed surface soil moisture retrievals and/or brightness temperature data from microwave sensors, significant progress has also been made in the assimilation of remotely-sensed: vegetation indices, snow cover fraction, snow water equivalent, land surface temperature, and surface energy fluxes. This special session solicits submissions which evaluate the merits of assimilating all types of remotely-sensed land data into land surface, atmospheric and/or hydrologic models operating at a variety of spatial scales. Abstracts making methodological contributions to the design of land data assimilation systems are strongly encouraged.

    Convener: Wade Crow
    [email protected]

  5. Impact of New Microwave Satellite Missions on Land Surface Hydrology

    Microwave remote sensing of land surfaces is directly linked to hydrology by the emission and scattering properties of water. Advances in technology have made long sought after observations such as soil moisture feasible. The growing need for climate observations is providing the resources to implement many new ideas. The major national/international space programs have initiated numerous microwave remote sensing missions that will provide information on soil moisture, snow, precipitation, the freeze-thaw state, and ice. This session will focus on these new satellite missions. Papers that describe the missions, the applications, and the opportunities for participation and collaboration are encouraged.

    Dr. Tom Jackson [email protected]

  6. Uncertainty in In-situ Measurements of Surface Fluxes and Its Impact on Evaluating Remote Sensing-based Products and Models.

    Surface measurements of land-atmosphere exchange processes, such as the turbulent transport of heat and moisture, provide critical "ground truth" data for the evaluation of remote sensing-based products and models. Regardless of the measurement technique used - for example eddy covariance or Bowen ratio energy balance - there is uncertainty associated with in-situ measurements of surface fluxes due to both the limitations of the sensors and the theoretical assumptions underlying the various measurement techniques. Additional sources of uncertainty can be found in the spatiotemporal variations of both the atmospheric conditions and the surface properties within the source area of the measurements. This is particularly true for remote sensing scenes captured over complex landscapes where limited fetch and patchwork-like surface characteristics are problematic for many surface measurement techniques. However, all of these potential sources of uncertainty can significantly impact comparisons of remotely sensed and surface data depending on the complexity of the landscape and the resolution of the data. In addition to characterizing the uncertainty in surface flux measurements this session also focuses on characterizing the magnitude of the uncertainty associated with a variable source area. Papers discussing surface flux measurements and their associated uncertainties, especially under complex or extreme conditions such as heterogeneous terrain or strong advection, are encouraged, as are papers discussing footprint analysis methods and their application to variable surface and boundary layer conditions.

  7. Flood forecasting and management with remote sensing and GIS

    With the support of remote sensing and GIS techniques, significant progress has been made in flood forecasting and management, such as the quantitative precipitation estimation/forecasting with weather radar and satellite remote sensing, distributed hydrological modeling with remote sensing data and GIS techniques, flood monitoring with satellite remote sensing, flood mapping with GIS techniques, among others. This session has the purpose of reviewing and reporting the advancements of GIS and Remote Sensing applications in flood forecasting and management and to share the experiences of scientists, engineers, NGOs and policy makers. Papers are welcome on meteorological observation and forecasting (including data observation from ground-based rain gauges, radar and satellite, data merging from multiple sensors, data calibration and inter-comparisons, quantitative meteorological estimation and forecast, data management and visualization, data merges with models), flood modeling and forecasting (including lumped and distributed models for rainfall-runoff processes and river flow, quantitative and qualitative short-term and long-term forecasts, flood forecasting in un-gauged basins, real-time forecasting systems, global hydrologic cycle, extreme flooding estimation, modeling human impact on flooding), flood management (including real-time control of flooding, flood plain management, flood mapping, flood monitoring, flood damage estimate, flood risk, impact of major flood events on sediment and ecosystems), and remote sensing data for flood forecasting and management (including data mining and assimilation, remote sensing techniques, remote sensing products, software and tools).

    Dr. Yangbo Chen: [email protected]
    Natural Disaster Research Center
    Sun Yat-sen University