Investigations
in vegetation map rectification, and the remotely sensed detection
and measurement of natural vegetation changes.
Richard Eugene
Walker
Ph.D. Dissertation, Department of Geography, University of California,
Santa Barbara. 275 pp.
As
projected climate changes loom, the monitoring of the response
of natural vegetation becomes important for both science and management.
Successful monitoring requires good baseline information and vegetation
change detection techniques. The research reported here involved
three main tasks: 1) digital geometric rectification of a detailed
historic vegetation map; 2) an analysis of high spatial resolution
airborne remote sensing data for tree mortality; and 3) the development
of a Landsat Thematic Mapper-based vegetation change detection
procedure. These studies focused on the Sierra Nevada of California,
and in particular Yosemite National Park.
The
Vegetation Type Maps (VTMs) (Wieslander 1935) represent some of
the finest maps of their kind in the world, and cover more than
40% of California. Yosemite National Park was mapped using these
techniques in the late 1930s. Geometric inaccuracies in the 19th
century USGS basemaps were mitigated using newly available GIS
and remote sensing tools, enabling the rectified VTMs, to be integrated
into the National Park’s vegetation monitoring work.
In
1992, several transects of a four-band high spatial resolution
airborne scanner (ADAR) were taken of mid-elevation forests in
the southern Sierra Nevada, to evaluate their use for tree mortality
monitoring. This analysis highlighted the difficulty of using
single-date imagery for monitoring vegetation changes, but showed
1) the best measure of tree mortality (when compared with field
data) was found using solely the red wavelength band; and 2) the
metric most highly correlated with the field data was relative
canopy mortality (%), not absolute area (ha).
Lastly,
based upon Principal Components Analysis, I developed an algorithm
for separating spectral changes resulting from vegetation changes
on the ground from other changes present but not of concern to
monitoring. Three vectors were derived using 6 of 7 Thematic Mapper
bands. Although few published change detection methods have used
the thermal IR band (6), it is an excellent means to detect changes
in local evapotranspiration and thus vegetation. The results of
this algorithm were quite good, with both the direction of vegetation
change and its magnitude output. In general, areas of vegetation
decrease were more easily detected than areas of vegetation increase.