Paper No. 0
Presentation Time: 8:00 AM-12:00 PM
GEOMORPHIC MAPPING IN GLACIATED TERRAIN: LIDAR IN THE PUGET LOWLAND, WASHINGTON
High-resolution LIDAR (LIght Distance And Ranging)
topography has allowed rapid, accurate remote mapping of surfaces (fluted
ground, fossil beach, alluvial flat, landslide, scarp, etc.) on Bainbridge
Island, a suburb of Seattle. The high-resolution LIDAR topography:
- Shows 4 types of glacially-striated ground on Bainbridge, only 2 of which were predicted on the basis of prior knowledge
- Allows clear definition of ice-recessional landforms and deposits—and there are very few on Bainbridge
- Shows locally-preserved latest Pleistocene shorelines that may record regional Holocene vertical deformation with sub-meter accuracy
- Permits accurate, consistent inventory of large deep-seated landslides
- Shows Holocene fault scarps beneath timber cover, scarps that are invisible in both 1:24K contours and in aerial photographs (1:12K panchromatic and 1:40K false-color infrared)
This experience suggests several lessons: (1) The
Bainbridge LIDAR survey (107 ground points in 71 km2,
nominal vertical accuracy 15 cm) does not reach the limit of useful topographic
detail. Even greater detail would be useful. (2) The LIDAR DEM is more
informative than 1:24K color stereo photographs. In part this reflects
year-round rainfall and glacial homogenization of surficial deposits that
minimize the degree to which vegetation reflects substrate in this terrain.
But this also reflects the primacy of topography over reflectance. (3)
Topography should be recorded via mass points, not contours. Contours often
introduce unwanted artifacts and unrecognized smoothing. Random mass points,
and the TIN-derived grid computed from them, contain an internal record
of how well a surface has been recorded that is too easily lost with contours.
(4) Geomorphic mapping should be inductive, with units arising from efforts
to classify and comprehend the landscape of a particular region. Map units
deduced from a priori classification of processes and landforms
have no place in the scientistÂ’s toolkit.
This mapping is being extended throughout the Lowland as LIDAR data become available.