2 seminars at UC Berkeley on GIS
----- Forwarded by Asha Weinstein/SJSU on 09/20/2006 03:44 PM -----
IURD's next two Visiting Scholars Roundtables will deal with GIS.
Both will take place in the conference room at 316 Wurster Hall, UC Berkeley.
Thursday, 9/21, 12 noon, Alan Forghani, GISC Visiting Scholar, on
"Remote Sensing and GIS: Bushfire Mapping and Modeling."
Strategies to better minimize damage from natural disasters such as
wild fire, flood, severe wind, coastal erosion and tsunamis are
essential to prosperity and safety, and national risk assessment
methodologies play an essential role. Forghani will give an overview
of remote sensing and GIS activities at the Australian Center for
Remote Sensing (ACRES), focusing on the use of spatial information
technologies capabilities in environmental monitoring, mapping and
modeling. He will also examine bush fire spread risk mapping as an
application and development process to establish a regional/national
bushfire risk assessment framework at the UC Berkeley's Geographic
Information Science Center (GISC).
Tuesday, 10/10, 12 noon, Sharon Kazemi, GISC Visiting Scholar, on
"Developments in Cartographic Generalization: Systems Perspective"
Research and development of cartographic generalization for the past
three decades provided the cartographers and GIS community with
reliable and robust computer mapping solutions, but these still
cannot compete with cartographers. Although much work has been done
in the last decade on the development of various
cartographic-automatic generalization algorithms, it appears the need
to evaluate and validate existing generalization tools has been
overlooked. Kazemi's Ph.D. research at the University of New South
Wales (UNSW) assesses the existing generalization systems to develop
a detailed generalization framework for deriving multi-scale data and
map products from a single high-resolution database. This talk
highlights the need to the maintain one master database in order to
reduce data handling and data duplication, discuss the generalization
themes, frameworks and operations. Later, well-known generalization
tools are introduced, and then assessed as test beds based on the
principles of generalization leading to development of
conceptual-practical framework to generalize road networks databases.
It is done to build a practical generalization framework and workflow
in order deliver coherent capabilities to automate the generalization
of roads for use in "derivative mapping" applications.