VOLUME 73, NUMBER 4
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
This month’s cover shows the completed National Land Cover Database
2001 (NLCD 2001) for the conterminous United States.
NLCD 2001 contains 3 primary Landsat-based products:
percent tree canopy, percent urban imperviousness, and
16 classes of land cover, all at 30 meter cell resolution from
nominal year 2001 imagery. On the cover, the land cover
product is displayed nationally against a background of
Landsat 7 ETM+ leaf-on imagery for the area around Salt
Lake City, Utah. Actual subsets of NLCD 2001 urban imperviousness,
tree canopy, and land cover segments from this
region are highlighted in full color boxes to demonstrate
product detail. An overview of this database is described in
the highlight article in this issue. These products were produced
by the Multi-Resolution Land Characteristics (MRLC)
Consortium–a group of 13 Federal programs in 10 agencies
that partner to purchase Landsat imagery and create
land cover products for the Nation. Products and imagery
are Web-enabled for download from the MRLC website at
www.mrlc.gov. The release of these NLCD 2001 products
has been widely anticipated, and this updated information
will support a wide variety of users, institutional sectors,
and local- to national-scale applications.
A study on lidar-specific ground control target design and
performance evaluation of using the targets to improve lidar
data accuracy to approach engineering scale mapping in
transportation systems.
An automatic method for extracting the spectra of individual
tree crowns leading to accurate estimates of the nitrogen
concentration of eucalypt foliage.
The generation of orthoimages and perspective views of
existing fully 3D surface models based on color blending from
multiple images and automatic detection of surface and image
occlusions.
Improving land-cover classification from remote sensing imagery
with neural networks using a threshold of recognition
below which the recognition system applies additional bootstrapped
information to classify pixels.