(spectral change!
Ice: Albedo_
coverage-multitemporal
amrerent
18 1/2 year
vegetation freezing
summer - winter
tidal date
If |
TABLE 2
Time Scale as significant Problems for Remote Sensing| ISP 1978 Freibur
Pixel as representativ space (objects) information unit
from different object parameters, changing through time
often through time of scale of data acquisition
depending on:pRemote Sensing System: to interface of
yobject . process . of naturx
Example: » Illumination change during film exposure time
. eye movement over human optic perception field
e Astronomie: 1 picture of stars on sky
shows up information
through many million to billion
years of space age
1 Scene of 1 Image = Large area of earth's space
1 Scene of 1 Image = Single spot in time ( synoptic)
1 Grand check
= Single spot in space (long time)
The time continua
&=> discret units (time - scale)
Resolution:
tixe R.
time R.
in dimension .
.
spectral R.
spatial R.
visuel Re
sensor syst.
natur proc.
Sensor, bands
objects
picture
sensor syst. bounded scale
processes bounded scale
(including subscale proc.)
System
time
character versus
Time dependent characteristic of Remote Sensing Images:
natural process
Photograph
3:21. . 107? sec)
Scanner Image: (5 ° 10!
synoptic
sec) not strictly
synoptic
for large space scale (tidal data
process-synchron by mosaic
for large space
not process-synchron (tidal data)
Repetition: chronologique intervall to reference image =~ multitemporal
Time Scale Datas of Remote Sensing System
(ERTS-I
Orbit *
1 Orbit
14 Orbits
polar,
105 min
/ day
Pathway of Nadir 6 km/h - Kinematic of System
Scanning process l scenez 30 sec (quasi synoptic)
- renamed LANDSAT
- NASA Satellit)
sun - synchron,