VOLUME 72, NUMBER 6
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
This example from the Hayman fire in the Colorado Front Range shows how multi-temporal
lidar data can be used for change detection to not only extract information about the bare earth
change, but vegetative change as well. Pre- and post-fi re imagery is overlaid on pre and post bare earth
lidar-derived Digital Elevation Models (DEMs). Statistically significant bare earth change one year after
the fire is shown from an increase (red) to a decrease
(blue) in elevation. Also, the points discarded to create
the bare earth DEM are displayed to show the
vegetation change before and after the fire. Points
are colored by height above ground from green (low)
to red (high). The U.S. Geological Survey has created
the Center for LIDAR Information Coordination and
Knowledge (CLICK) to help provide lidar users with
better access to existing raw (unfiltered) point cloud
lidar datasets for scientific applications such as these.
CLICK also hopes to help improve coordination and
communication among users in the lidar community
to help facilitate innovative lidar research.
Announcements
620 PE&RS Special Issue Call for Papers — Remote Sensing Data Fusion
628 PE&RS Special Issue Call for Papers — Web and Wireless GIS
717 ASPRS 2007 Annual Conference
Cover 3 ASPRS/MAPPS Specialty Conference— Measuring the Earth
- Latest Developments with Digital
Surface Modeling and Automated
Feature Extraction
Methodologies that use standardized principal components
analysis applied to selected bands of imagery to identify and
date changes in a landscape across a time series of multisensor
imagery.
A new method is described for identifying rapid mass movements
on high-resolution optical satellite imagery by first using
ancillary data to establish geomorphic context.
Built-up areas were accurately detected from a multitemporal
interferometric ERS dataset using a region-based classification
approach, and a correlation between the building density and
intensity/coherence in the image was found.