(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,