Full text: Remote sensing for resources development and environmental management (Vol. 1)

both LANDSAT TM 
can be easily 
:ed together. 
;an be used in 
iata that shares 
j from satellite 
ibout once its 
rhis paper will 
Ding can be done 
le use of new 
: it is feasible 
nagery in an 
PROCESS 
Die topographic 
:essed satellite 
Dwn in Figure 1. 
MIC PRODUCTS 
OPTIONAL 
ANCILLARY DATA 
tion Process 
recision image 
procedure. This 
:ellite imagery 
jraphic accuracy 
jp maker. The 
id correction in 
; to place the 
i map coordinate 
:uracy-degrading 
Ling the motion 
during the data 
the use of a 
model, ground 
r to "fine tune" 
geometric image 
: use of many 
its to achieve 
be required for 
in general, only 
:e required to 
) sq. kilometre 
in information 
:orrected images 
action process 
romputer matched 
> left and right 
.ative elevation 
from the 
Wood, 
informati 
digital 
regular g 
The elev 
contours 
software. 
(Cooper, Friedmann, and 
From this parallax 
computer generated a 
model of the surface on a 
required map projection, 
d was then converted to 
for output using DEM processing 
parai 
lax 
1985) 
. 
on, 
the 
eleva 
tion 
rid i 
n th 
ation 
gr 
Base map pi 
precision 
a combinati 
inte rpretiv 
feature ext 
involved t 
multi-spect 
Planimetric 
were highl 
methods. 
were output 
digital fi 
were then u 
orthophotos 
planimetry 
the Survey 
the Brit 
Environment 
animetry was derived from the 
geocoded image using two methods: 
on of image analysis and manual 
e techniques; and automated 
raction techniques. The first 
aking advantage of 
ral nature of the 
features (water, 
ighted using image 
These digitally enhanced images 
to film, with a high resolution 
lm recorder. The film products 
sed to produce 1:50,000 scale 
and interpreted to derive 
by trained photo-interpreters at 
s and Resource Mapping Branch of 
ish Columbia Ministry of 
the digital 
TM imagery, 
roads, etc.) 
enhancement 
A more automated approach for extracting 
feature planimetry was also tested. This 
technique used an automated knowledge-based 
classifier approach to identify the water 
and road information based on both spectral 
detail and such knowledge as size, shape, 
and context. Once these features were 
identified they were transferred into the 
GIS and merged into the map data base. 
Thematic information can be derived from 
digital imagery by computer classification. 
The results of this technique, however, are 
rarely usable in a mapping context without 
some form of post-processing. This is 
required to give the resultant image a more 
map-like appearance and to convert the data 
into a format that can be manipulated on a 
GIS (i.e. polygon). The use of 
knowledge-based filters (which use actual 
cartographic rules), ancillary data, and 
raster-to-vector conversion processes allow 
the production of actual thematic maps from 
the imagery. 
The planimetric, thematic, and digital 
elevation information derived from the 
satellite imagery was stored in a Geographic 
Information System (GIS) data base. The GIS 
provided a data base which can store and 
retrieve information by geographic location, 
and a set of facilities to mainipulate and 
analyze geographic data. 
The output map products include the 
topographic base map, thematic maps, and 
orthophotos with graphic overlays. All of 
these can be derived entirely from digital 
satellite imagery. Also, the digital nature 
of the source material allowed for the 
production of other non-standard map 
products. For example, by combining the 
digital elevation information and the 
digital satellite imagery it was possible to 
produce such products as three-dimensional 
perspective and panoramic views. 
EVALUATION OF THE SAMPLE MAP PRODUCT 
Figure 2 shows a sample 1:50,000 scale map 
which was created from LANDSAT-5 TM imagery 
using the techniques described in the 
previous section. This map covers a section 
of northern Vancouver Island, Canada, known 
as Adam River. It corresponds to the 
Canadian NTS 1:50,000 scale mapsheet 92L/8 
published by the Surveys and Mapping Branch, 
Department of Energy, Mines and Resources. 
The map was derived from overlapped stereo 
LANDSAT-5 TM imagery obtained from adjacent 
orbits (Path 49 and Path 50). The dates of 
the source imagery were July 15, 1984 and 
July 14, 1984. The overlap from adjacent 
orbits range from almost none at the equator 
to full overlap north of 52 degrees. 
For the sample map, 7 ground control points 
were used to precision geocode a scene 
covering an area of approximately 34,000 sq. 
kilometres to sub-pixel accuracy. This area 
is equivalent to that which is covered by 
sixteen 1:50,000 scale mapsheets. 
Conventional photogrammetric methods would 
require a minimum of 80 ground control 
points to cover an equivalent area and 
precision image warping techniques may 
require over 50 points. 
FIGURE 2 - Sample Satellite Derived Base Map 
To calculate the planimetric accuracy of the 
resultant image, control points which were 
not used in the correction process were 
measured and compared on both the resulting 
map and the original map. For this map the 
calculated planimetric error was determined 
to be 27.3 metres RMS. 
The determination of the elevation accuracy 
involved comparing the LANDSAT image-derived 
DEM with a reference DEM (produced by 
photogrammetric means from air photos by the 
British Columbia Ministry of Environment). 
The comparison showed the LANDSAT 
image-derived DEM had an RMS error of 72.0 
metres when compared to the reference DEM. 
LANDSAT imagery has a small base-to-height 
ratio (about 0.1) due to the small 
difference in the viewing angle between 
adjacent orbits. This limits the elevation 
accuracy which is attainable from LANDSAT 
image ry. 
SPOT can produce stereo imagery by pointing 
its sensors up to 27.5 degrees off nadir to 
view an area previously imaged from a 
different orbit. Stereo imagery can be 
produced for any area, with a base-to-height 
ratio of up to 0.5 (if one image is a nadir 
view) or 1.0 (if both imaqes are viewed at 
the maximum off-nadir view). 
The accuracy of the elevation information 
derived from stereo satellite imagery 
depends on the pixel resolution and 
base-to-height ratio of the imagery. 
Currently available LANDSAT-TM stereo
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.