VOLUME 74, NUMBER 1
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
This month’s cover image was provided by Shannon Franks from the
University of Maryland. The Landsat images are courtesy
of the U.S Geological Survey and show land cover and
land use changes through time using the four epochs
of data from the Global Land Surveys. The Global Land
Survey 2005 continues this legacy with a mid-decadal
edition capturing minimally clouded and temporally consistent
global satellite imagery and being delivered with
orthorectifi ed precision. The land cover sequence is from
WRS2 path 40, row 21 in Boreal Saskatchewan, Canada
showing the scars from the frequent fi res that occur in
that region. For this sequence, the images from top to
bottom, respectively are: MSS acquired May 24th, 1977;
TM acquired June 13th, 1989; ETM+ acquired July 13th,
2000; and TM acquired September 24th, 2006. The background
is a Landsat 7 GeocoverTM mosaic with images
acquired from 1999 to 2003. For information, contact Dr.
Garik Gutman, Manager, the NASA Land-Cover/Land-Use Change Program at ggutman@nasa.gov.
A multilevel classification scheme to increase the accuracy
of final classes for mapping mortality and detecting oak tree
stress associated with a new disease (sudden oak death) with
preprocessed CASI hyperspectral data.
U.S. Army Air Services operations during World War
I established the foundations for a surprising range of
techniques and procedures for aerial reconnaissance and
photointerpretation.
A permanent test field and a methodology for fi eld calibration
and testing of the spatial resolution, radiometry, and
geometry of digital photogrammetric systems are presented.
Satellite images will improve yield estimation in the future
because they can provide objective information about crop
growth over large areas; in this context SAR images are
extremely useful due to their high revisit imaging capability.